diff --git a/packages/google-cloud-automl/google/cloud/automl.py b/packages/google-cloud-automl/google/cloud/automl.py
index def01415d72c..4bf998b12ad2 100644
--- a/packages/google-cloud-automl/google/cloud/automl.py
+++ b/packages/google-cloud-automl/google/cloud/automl.py
@@ -21,9 +21,4 @@
 from google.cloud.automl_v1beta1 import enums
 from google.cloud.automl_v1beta1 import types
 
-__all__ = (
-    'enums',
-    'types',
-    'PredictionServiceClient',
-    'AutoMlClient',
-)
+__all__ = ("enums", "types", "PredictionServiceClient", "AutoMlClient")
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/__init__.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/__init__.py
index 59d3df8458f2..aae6b72f5b6e 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/__init__.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/__init__.py
@@ -22,8 +22,7 @@
 from google.cloud.automl_v1beta1.gapic import prediction_service_client
 
 
-class PredictionServiceClient(
-        prediction_service_client.PredictionServiceClient):
+class PredictionServiceClient(prediction_service_client.PredictionServiceClient):
     __doc__ = prediction_service_client.PredictionServiceClient.__doc__
     enums = enums
 
@@ -33,9 +32,4 @@ class AutoMlClient(auto_ml_client.AutoMlClient):
     enums = enums
 
 
-__all__ = (
-    'enums',
-    'types',
-    'PredictionServiceClient',
-    'AutoMlClient',
-)
+__all__ = ("enums", "types", "PredictionServiceClient", "AutoMlClient")
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py
index 72cecb1b0047..7c872854a67d 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py
@@ -46,8 +46,7 @@
 from google.longrunning import operations_pb2 as longrunning_operations_pb2
 from google.protobuf import empty_pb2
 
-_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution(
-    'google-cloud-automl', ).version
+_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-automl").version
 
 
 class AutoMlClient(object):
@@ -63,12 +62,12 @@ class AutoMlClient(object):
     then the id for the item is ``{dataset_id}``.
     """
 
-    SERVICE_ADDRESS = 'automl.googleapis.com:443'
+    SERVICE_ADDRESS = "automl.googleapis.com:443"
     """The default address of the service."""
 
     # The name of the interface for this client. This is the key used to
     # find the method configuration in the client_config dictionary.
-    _INTERFACE_NAME = 'google.cloud.automl.v1beta1.AutoMl'
+    _INTERFACE_NAME = "google.cloud.automl.v1beta1.AutoMl"
 
     @classmethod
     def from_service_account_file(cls, filename, *args, **kwargs):
@@ -84,9 +83,8 @@ def from_service_account_file(cls, filename, *args, **kwargs):
         Returns:
             AutoMlClient: The constructed client.
         """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs['credentials'] = credentials
+        credentials = service_account.Credentials.from_service_account_file(filename)
+        kwargs["credentials"] = credentials
         return cls(*args, **kwargs)
 
     from_service_account_json = from_service_account_file
@@ -95,7 +93,7 @@ def from_service_account_file(cls, filename, *args, **kwargs):
     def location_path(cls, project, location):
         """Return a fully-qualified location string."""
         return google.api_core.path_template.expand(
-            'projects/{project}/locations/{location}',
+            "projects/{project}/locations/{location}",
             project=project,
             location=location,
         )
@@ -104,7 +102,7 @@ def location_path(cls, project, location):
     def dataset_path(cls, project, location, dataset):
         """Return a fully-qualified dataset string."""
         return google.api_core.path_template.expand(
-            'projects/{project}/locations/{location}/datasets/{dataset}',
+            "projects/{project}/locations/{location}/datasets/{dataset}",
             project=project,
             location=location,
             dataset=dataset,
@@ -114,7 +112,7 @@ def dataset_path(cls, project, location, dataset):
     def model_path(cls, project, location, model):
         """Return a fully-qualified model string."""
         return google.api_core.path_template.expand(
-            'projects/{project}/locations/{location}/models/{model}',
+            "projects/{project}/locations/{location}/models/{model}",
             project=project,
             location=location,
             model=model,
@@ -124,19 +122,21 @@ def model_path(cls, project, location, model):
     def model_evaluation_path(cls, project, location, model, model_evaluation):
         """Return a fully-qualified model_evaluation string."""
         return google.api_core.path_template.expand(
-            'projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}',
+            "projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}",
             project=project,
             location=location,
             model=model,
             model_evaluation=model_evaluation,
         )
 
-    def __init__(self,
-                 transport=None,
-                 channel=None,
-                 credentials=None,
-                 client_config=None,
-                 client_info=None):
+    def __init__(
+        self,
+        transport=None,
+        channel=None,
+        credentials=None,
+        client_config=None,
+        client_info=None,
+    ):
         """Constructor.
 
         Args:
@@ -170,18 +170,19 @@ def __init__(self,
         # Raise deprecation warnings for things we want to go away.
         if client_config is not None:
             warnings.warn(
-                'The `client_config` argument is deprecated.',
+                "The `client_config` argument is deprecated.",
                 PendingDeprecationWarning,
-                stacklevel=2)
+                stacklevel=2,
+            )
         else:
             client_config = auto_ml_client_config.config
 
         if channel:
             warnings.warn(
-                'The `channel` argument is deprecated; use '
-                '`transport` instead.',
+                "The `channel` argument is deprecated; use " "`transport` instead.",
                 PendingDeprecationWarning,
-                stacklevel=2)
+                stacklevel=2,
+            )
 
         # Instantiate the transport.
         # The transport is responsible for handling serialization and
@@ -195,19 +196,19 @@ def __init__(self,
             else:
                 if credentials:
                     raise ValueError(
-                        'Received both a transport instance and '
-                        'credentials; these are mutually exclusive.')
+                        "Received both a transport instance and "
+                        "credentials; these are mutually exclusive."
+                    )
                 self.transport = transport
         else:
             self.transport = auto_ml_grpc_transport.AutoMlGrpcTransport(
-                address=self.SERVICE_ADDRESS,
-                channel=channel,
-                credentials=credentials,
+                address=self.SERVICE_ADDRESS, channel=channel, credentials=credentials
             )
 
         if client_info is None:
             client_info = google.api_core.gapic_v1.client_info.ClientInfo(
-                gapic_version=_GAPIC_LIBRARY_VERSION, )
+                gapic_version=_GAPIC_LIBRARY_VERSION
+            )
         else:
             client_info.gapic_version = _GAPIC_LIBRARY_VERSION
         self._client_info = client_info
@@ -217,7 +218,8 @@ def __init__(self,
         # (Ordinarily, these are the defaults specified in the `*_config.py`
         # file next to this one.)
         self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
-            client_config['interfaces'][self._INTERFACE_NAME], )
+            client_config["interfaces"][self._INTERFACE_NAME]
+        )
 
         # Save a dictionary of cached API call functions.
         # These are the actual callables which invoke the proper
@@ -226,12 +228,14 @@ def __init__(self,
         self._inner_api_calls = {}
 
     # Service calls
-    def create_dataset(self,
-                       parent,
-                       dataset,
-                       retry=google.api_core.gapic_v1.method.DEFAULT,
-                       timeout=google.api_core.gapic_v1.method.DEFAULT,
-                       metadata=None):
+    def create_dataset(
+        self,
+        parent,
+        dataset,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Creates a dataset.
 
@@ -273,28 +277,28 @@ def create_dataset(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'create_dataset' not in self._inner_api_calls:
+        if "create_dataset" not in self._inner_api_calls:
             self._inner_api_calls[
-                'create_dataset'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.create_dataset,
-                    default_retry=self._method_configs['CreateDataset'].retry,
-                    default_timeout=self._method_configs['CreateDataset'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "create_dataset"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.create_dataset,
+                default_retry=self._method_configs["CreateDataset"].retry,
+                default_timeout=self._method_configs["CreateDataset"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.CreateDatasetRequest(
-            parent=parent,
-            dataset=dataset,
+        request = service_pb2.CreateDatasetRequest(parent=parent, dataset=dataset)
+        return self._inner_api_calls["create_dataset"](
+            request, retry=retry, timeout=timeout, metadata=metadata
         )
-        return self._inner_api_calls['create_dataset'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
-
-    def get_dataset(self,
-                    name,
-                    retry=google.api_core.gapic_v1.method.DEFAULT,
-                    timeout=google.api_core.gapic_v1.method.DEFAULT,
-                    metadata=None):
+
+    def get_dataset(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Gets a dataset.
 
@@ -329,26 +333,30 @@ def get_dataset(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'get_dataset' not in self._inner_api_calls:
+        if "get_dataset" not in self._inner_api_calls:
             self._inner_api_calls[
-                'get_dataset'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.get_dataset,
-                    default_retry=self._method_configs['GetDataset'].retry,
-                    default_timeout=self._method_configs['GetDataset'].timeout,
-                    client_info=self._client_info,
-                )
+                "get_dataset"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.get_dataset,
+                default_retry=self._method_configs["GetDataset"].retry,
+                default_timeout=self._method_configs["GetDataset"].timeout,
+                client_info=self._client_info,
+            )
+
+        request = service_pb2.GetDatasetRequest(name=name)
+        return self._inner_api_calls["get_dataset"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
 
-        request = service_pb2.GetDatasetRequest(name=name, )
-        return self._inner_api_calls['get_dataset'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
-
-    def list_datasets(self,
-                      parent,
-                      filter_=None,
-                      page_size=None,
-                      retry=google.api_core.gapic_v1.method.DEFAULT,
-                      timeout=google.api_core.gapic_v1.method.DEFAULT,
-                      metadata=None):
+    def list_datasets(
+        self,
+        parent,
+        filter_=None,
+        page_size=None,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Lists datasets in a project.
 
@@ -411,40 +419,41 @@ def list_datasets(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'list_datasets' not in self._inner_api_calls:
+        if "list_datasets" not in self._inner_api_calls:
             self._inner_api_calls[
-                'list_datasets'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.list_datasets,
-                    default_retry=self._method_configs['ListDatasets'].retry,
-                    default_timeout=self._method_configs['ListDatasets'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "list_datasets"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.list_datasets,
+                default_retry=self._method_configs["ListDatasets"].retry,
+                default_timeout=self._method_configs["ListDatasets"].timeout,
+                client_info=self._client_info,
+            )
 
         request = service_pb2.ListDatasetsRequest(
-            parent=parent,
-            filter=filter_,
-            page_size=page_size,
+            parent=parent, filter=filter_, page_size=page_size
         )
         iterator = google.api_core.page_iterator.GRPCIterator(
             client=None,
             method=functools.partial(
-                self._inner_api_calls['list_datasets'],
+                self._inner_api_calls["list_datasets"],
                 retry=retry,
                 timeout=timeout,
-                metadata=metadata),
+                metadata=metadata,
+            ),
             request=request,
-            items_field='datasets',
-            request_token_field='page_token',
-            response_token_field='next_page_token',
+            items_field="datasets",
+            request_token_field="page_token",
+            response_token_field="next_page_token",
         )
         return iterator
 
-    def delete_dataset(self,
-                       name,
-                       retry=google.api_core.gapic_v1.method.DEFAULT,
-                       timeout=google.api_core.gapic_v1.method.DEFAULT,
-                       metadata=None):
+    def delete_dataset(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Deletes a dataset and all of its contents. Returns empty response in the
         ``response`` field when it completes, and ``delete_details`` in the
@@ -490,19 +499,20 @@ def delete_dataset(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'delete_dataset' not in self._inner_api_calls:
+        if "delete_dataset" not in self._inner_api_calls:
             self._inner_api_calls[
-                'delete_dataset'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.delete_dataset,
-                    default_retry=self._method_configs['DeleteDataset'].retry,
-                    default_timeout=self._method_configs['DeleteDataset'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "delete_dataset"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.delete_dataset,
+                default_retry=self._method_configs["DeleteDataset"].retry,
+                default_timeout=self._method_configs["DeleteDataset"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.DeleteDatasetRequest(name=name, )
-        operation = self._inner_api_calls['delete_dataset'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
+        request = service_pb2.DeleteDatasetRequest(name=name)
+        operation = self._inner_api_calls["delete_dataset"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
         return google.api_core.operation.from_gapic(
             operation,
             self.transport._operations_client,
@@ -510,12 +520,14 @@ def delete_dataset(self,
             metadata_type=proto_operations_pb2.OperationMetadata,
         )
 
-    def import_data(self,
-                    name,
-                    input_config,
-                    retry=google.api_core.gapic_v1.method.DEFAULT,
-                    timeout=google.api_core.gapic_v1.method.DEFAULT,
-                    metadata=None):
+    def import_data(
+        self,
+        name,
+        input_config,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Imports data into a dataset. Returns an empty response in the
         ``response`` field when it completes.
@@ -568,21 +580,20 @@ def import_data(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'import_data' not in self._inner_api_calls:
+        if "import_data" not in self._inner_api_calls:
             self._inner_api_calls[
-                'import_data'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.import_data,
-                    default_retry=self._method_configs['ImportData'].retry,
-                    default_timeout=self._method_configs['ImportData'].timeout,
-                    client_info=self._client_info,
-                )
+                "import_data"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.import_data,
+                default_retry=self._method_configs["ImportData"].retry,
+                default_timeout=self._method_configs["ImportData"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.ImportDataRequest(
-            name=name,
-            input_config=input_config,
+        request = service_pb2.ImportDataRequest(name=name, input_config=input_config)
+        operation = self._inner_api_calls["import_data"](
+            request, retry=retry, timeout=timeout, metadata=metadata
         )
-        operation = self._inner_api_calls['import_data'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
         return google.api_core.operation.from_gapic(
             operation,
             self.transport._operations_client,
@@ -590,12 +601,14 @@ def import_data(self,
             metadata_type=proto_operations_pb2.OperationMetadata,
         )
 
-    def export_data(self,
-                    name,
-                    output_config,
-                    retry=google.api_core.gapic_v1.method.DEFAULT,
-                    timeout=google.api_core.gapic_v1.method.DEFAULT,
-                    metadata=None):
+    def export_data(
+        self,
+        name,
+        output_config,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Exports dataset's data to a Google Cloud Storage bucket. Returns an
         empty response in the ``response`` field when it completes.
@@ -647,21 +660,20 @@ def export_data(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'export_data' not in self._inner_api_calls:
+        if "export_data" not in self._inner_api_calls:
             self._inner_api_calls[
-                'export_data'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.export_data,
-                    default_retry=self._method_configs['ExportData'].retry,
-                    default_timeout=self._method_configs['ExportData'].timeout,
-                    client_info=self._client_info,
-                )
+                "export_data"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.export_data,
+                default_retry=self._method_configs["ExportData"].retry,
+                default_timeout=self._method_configs["ExportData"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.ExportDataRequest(
-            name=name,
-            output_config=output_config,
+        request = service_pb2.ExportDataRequest(name=name, output_config=output_config)
+        operation = self._inner_api_calls["export_data"](
+            request, retry=retry, timeout=timeout, metadata=metadata
         )
-        operation = self._inner_api_calls['export_data'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
         return google.api_core.operation.from_gapic(
             operation,
             self.transport._operations_client,
@@ -669,12 +681,14 @@ def export_data(self,
             metadata_type=proto_operations_pb2.OperationMetadata,
         )
 
-    def create_model(self,
-                     parent,
-                     model,
-                     retry=google.api_core.gapic_v1.method.DEFAULT,
-                     timeout=google.api_core.gapic_v1.method.DEFAULT,
-                     metadata=None):
+    def create_model(
+        self,
+        parent,
+        model,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Creates a model. Returns a Model in the ``response`` field when it
         completes. When you create a model, several model evaluations are
@@ -728,22 +742,20 @@ def create_model(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'create_model' not in self._inner_api_calls:
+        if "create_model" not in self._inner_api_calls:
             self._inner_api_calls[
-                'create_model'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.create_model,
-                    default_retry=self._method_configs['CreateModel'].retry,
-                    default_timeout=self._method_configs['CreateModel'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "create_model"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.create_model,
+                default_retry=self._method_configs["CreateModel"].retry,
+                default_timeout=self._method_configs["CreateModel"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.CreateModelRequest(
-            parent=parent,
-            model=model,
+        request = service_pb2.CreateModelRequest(parent=parent, model=model)
+        operation = self._inner_api_calls["create_model"](
+            request, retry=retry, timeout=timeout, metadata=metadata
         )
-        operation = self._inner_api_calls['create_model'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
         return google.api_core.operation.from_gapic(
             operation,
             self.transport._operations_client,
@@ -751,11 +763,13 @@ def create_model(self,
             metadata_type=proto_operations_pb2.OperationMetadata,
         )
 
-    def get_model(self,
-                  name,
-                  retry=google.api_core.gapic_v1.method.DEFAULT,
-                  timeout=google.api_core.gapic_v1.method.DEFAULT,
-                  metadata=None):
+    def get_model(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Gets a model.
 
@@ -790,26 +804,30 @@ def get_model(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'get_model' not in self._inner_api_calls:
+        if "get_model" not in self._inner_api_calls:
             self._inner_api_calls[
-                'get_model'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.get_model,
-                    default_retry=self._method_configs['GetModel'].retry,
-                    default_timeout=self._method_configs['GetModel'].timeout,
-                    client_info=self._client_info,
-                )
+                "get_model"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.get_model,
+                default_retry=self._method_configs["GetModel"].retry,
+                default_timeout=self._method_configs["GetModel"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.GetModelRequest(name=name, )
-        return self._inner_api_calls['get_model'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
-
-    def list_models(self,
-                    parent,
-                    filter_=None,
-                    page_size=None,
-                    retry=google.api_core.gapic_v1.method.DEFAULT,
-                    timeout=google.api_core.gapic_v1.method.DEFAULT,
-                    metadata=None):
+        request = service_pb2.GetModelRequest(name=name)
+        return self._inner_api_calls["get_model"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
+
+    def list_models(
+        self,
+        parent,
+        filter_=None,
+        page_size=None,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Lists models.
 
@@ -875,39 +893,41 @@ def list_models(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'list_models' not in self._inner_api_calls:
+        if "list_models" not in self._inner_api_calls:
             self._inner_api_calls[
-                'list_models'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.list_models,
-                    default_retry=self._method_configs['ListModels'].retry,
-                    default_timeout=self._method_configs['ListModels'].timeout,
-                    client_info=self._client_info,
-                )
+                "list_models"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.list_models,
+                default_retry=self._method_configs["ListModels"].retry,
+                default_timeout=self._method_configs["ListModels"].timeout,
+                client_info=self._client_info,
+            )
 
         request = service_pb2.ListModelsRequest(
-            parent=parent,
-            filter=filter_,
-            page_size=page_size,
+            parent=parent, filter=filter_, page_size=page_size
         )
         iterator = google.api_core.page_iterator.GRPCIterator(
             client=None,
             method=functools.partial(
-                self._inner_api_calls['list_models'],
+                self._inner_api_calls["list_models"],
                 retry=retry,
                 timeout=timeout,
-                metadata=metadata),
+                metadata=metadata,
+            ),
             request=request,
-            items_field='model',
-            request_token_field='page_token',
-            response_token_field='next_page_token',
+            items_field="model",
+            request_token_field="page_token",
+            response_token_field="next_page_token",
         )
         return iterator
 
-    def delete_model(self,
-                     name,
-                     retry=google.api_core.gapic_v1.method.DEFAULT,
-                     timeout=google.api_core.gapic_v1.method.DEFAULT,
-                     metadata=None):
+    def delete_model(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Deletes a model. If a model is already deployed, this only deletes the
         model in AutoML BE, and does not change the status of the deployed model
@@ -955,19 +975,20 @@ def delete_model(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'delete_model' not in self._inner_api_calls:
+        if "delete_model" not in self._inner_api_calls:
             self._inner_api_calls[
-                'delete_model'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.delete_model,
-                    default_retry=self._method_configs['DeleteModel'].retry,
-                    default_timeout=self._method_configs['DeleteModel'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "delete_model"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.delete_model,
+                default_retry=self._method_configs["DeleteModel"].retry,
+                default_timeout=self._method_configs["DeleteModel"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.DeleteModelRequest(name=name, )
-        operation = self._inner_api_calls['delete_model'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
+        request = service_pb2.DeleteModelRequest(name=name)
+        operation = self._inner_api_calls["delete_model"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
         return google.api_core.operation.from_gapic(
             operation,
             self.transport._operations_client,
@@ -975,11 +996,13 @@ def delete_model(self,
             metadata_type=proto_operations_pb2.OperationMetadata,
         )
 
-    def deploy_model(self,
-                     name,
-                     retry=google.api_core.gapic_v1.method.DEFAULT,
-                     timeout=google.api_core.gapic_v1.method.DEFAULT,
-                     metadata=None):
+    def deploy_model(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Deploys model. Returns a ``DeployModelResponse`` in the ``response``
         field when it completes.
@@ -1015,25 +1038,28 @@ def deploy_model(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'deploy_model' not in self._inner_api_calls:
+        if "deploy_model" not in self._inner_api_calls:
             self._inner_api_calls[
-                'deploy_model'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.deploy_model,
-                    default_retry=self._method_configs['DeployModel'].retry,
-                    default_timeout=self._method_configs['DeployModel'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "deploy_model"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.deploy_model,
+                default_retry=self._method_configs["DeployModel"].retry,
+                default_timeout=self._method_configs["DeployModel"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.DeployModelRequest(name=name, )
-        return self._inner_api_calls['deploy_model'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
+        request = service_pb2.DeployModelRequest(name=name)
+        return self._inner_api_calls["deploy_model"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
 
-    def undeploy_model(self,
-                       name,
-                       retry=google.api_core.gapic_v1.method.DEFAULT,
-                       timeout=google.api_core.gapic_v1.method.DEFAULT,
-                       metadata=None):
+    def undeploy_model(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Undeploys model. Returns an ``UndeployModelResponse`` in the
         ``response`` field when it completes.
@@ -1069,25 +1095,28 @@ def undeploy_model(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'undeploy_model' not in self._inner_api_calls:
+        if "undeploy_model" not in self._inner_api_calls:
             self._inner_api_calls[
-                'undeploy_model'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.undeploy_model,
-                    default_retry=self._method_configs['UndeployModel'].retry,
-                    default_timeout=self._method_configs['UndeployModel'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "undeploy_model"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.undeploy_model,
+                default_retry=self._method_configs["UndeployModel"].retry,
+                default_timeout=self._method_configs["UndeployModel"].timeout,
+                client_info=self._client_info,
+            )
 
-        request = service_pb2.UndeployModelRequest(name=name, )
-        return self._inner_api_calls['undeploy_model'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
+        request = service_pb2.UndeployModelRequest(name=name)
+        return self._inner_api_calls["undeploy_model"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
 
-    def get_model_evaluation(self,
-                             name,
-                             retry=google.api_core.gapic_v1.method.DEFAULT,
-                             timeout=google.api_core.gapic_v1.method.DEFAULT,
-                             metadata=None):
+    def get_model_evaluation(
+        self,
+        name,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Gets a model evaluation.
 
@@ -1122,28 +1151,30 @@ def get_model_evaluation(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'get_model_evaluation' not in self._inner_api_calls:
+        if "get_model_evaluation" not in self._inner_api_calls:
             self._inner_api_calls[
-                'get_model_evaluation'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.get_model_evaluation,
-                    default_retry=self._method_configs['GetModelEvaluation'].
-                    retry,
-                    default_timeout=self._method_configs['GetModelEvaluation'].
-                    timeout,
-                    client_info=self._client_info,
-                )
+                "get_model_evaluation"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.get_model_evaluation,
+                default_retry=self._method_configs["GetModelEvaluation"].retry,
+                default_timeout=self._method_configs["GetModelEvaluation"].timeout,
+                client_info=self._client_info,
+            )
+
+        request = service_pb2.GetModelEvaluationRequest(name=name)
+        return self._inner_api_calls["get_model_evaluation"](
+            request, retry=retry, timeout=timeout, metadata=metadata
+        )
 
-        request = service_pb2.GetModelEvaluationRequest(name=name, )
-        return self._inner_api_calls['get_model_evaluation'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
-
-    def list_model_evaluations(self,
-                               parent,
-                               filter_=None,
-                               page_size=None,
-                               retry=google.api_core.gapic_v1.method.DEFAULT,
-                               timeout=google.api_core.gapic_v1.method.DEFAULT,
-                               metadata=None):
+    def list_model_evaluations(
+        self,
+        parent,
+        filter_=None,
+        page_size=None,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Lists model evaluations.
 
@@ -1211,32 +1242,30 @@ def list_model_evaluations(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'list_model_evaluations' not in self._inner_api_calls:
+        if "list_model_evaluations" not in self._inner_api_calls:
             self._inner_api_calls[
-                'list_model_evaluations'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.list_model_evaluations,
-                    default_retry=self._method_configs['ListModelEvaluations'].
-                    retry,
-                    default_timeout=self.
-                    _method_configs['ListModelEvaluations'].timeout,
-                    client_info=self._client_info,
-                )
+                "list_model_evaluations"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.list_model_evaluations,
+                default_retry=self._method_configs["ListModelEvaluations"].retry,
+                default_timeout=self._method_configs["ListModelEvaluations"].timeout,
+                client_info=self._client_info,
+            )
 
         request = service_pb2.ListModelEvaluationsRequest(
-            parent=parent,
-            filter=filter_,
-            page_size=page_size,
+            parent=parent, filter=filter_, page_size=page_size
         )
         iterator = google.api_core.page_iterator.GRPCIterator(
             client=None,
             method=functools.partial(
-                self._inner_api_calls['list_model_evaluations'],
+                self._inner_api_calls["list_model_evaluations"],
                 retry=retry,
                 timeout=timeout,
-                metadata=metadata),
+                metadata=metadata,
+            ),
             request=request,
-            items_field='model_evaluation',
-            request_token_field='page_token',
-            response_token_field='next_page_token',
+            items_field="model_evaluation",
+            request_token_field="page_token",
+            response_token_field="next_page_token",
         )
         return iterator
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client_config.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client_config.py
index ce0e319ca99a..ce555cb08ebf 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client_config.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/auto_ml_client_config.py
@@ -3,7 +3,7 @@
         "google.cloud.automl.v1beta1.AutoMl": {
             "retry_codes": {
                 "idempotent": ["DEADLINE_EXCEEDED", "UNAVAILABLE"],
-                "non_idempotent": []
+                "non_idempotent": [],
             },
             "retry_params": {
                 "default": {
@@ -13,81 +13,81 @@
                     "initial_rpc_timeout_millis": 20000,
                     "rpc_timeout_multiplier": 1.0,
                     "max_rpc_timeout_millis": 20000,
-                    "total_timeout_millis": 600000
+                    "total_timeout_millis": 600000,
                 }
             },
             "methods": {
                 "CreateDataset": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "GetDataset": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "ListDatasets": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "DeleteDataset": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "ImportData": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "ExportData": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "CreateModel": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "GetModel": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "ListModels": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "DeleteModel": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "DeployModel": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "UndeployModel": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "GetModelEvaluation": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 },
                 "ListModelEvaluations": {
                     "timeout_millis": 5000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
-                }
-            }
+                    "retry_params_name": "default",
+                },
+            },
         }
     }
 }
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/enums.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/enums.py
index 51e477163662..b98cd0818972 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/enums.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/enums.py
@@ -27,6 +27,7 @@ class ClassificationType(enum.IntEnum):
       MULTICLASS (int): At most one label is allowed per example.
       MULTILABEL (int): Multiple labels are allowed for one example.
     """
+
     CLASSIFICATION_TYPE_UNSPECIFIED = 0
     MULTICLASS = 1
     MULTILABEL = 2
@@ -42,6 +43,7 @@ class DeploymentState(enum.IntEnum):
           DEPLOYED (int): Model is deployed.
           UNDEPLOYED (int): Model is not deployed.
         """
+
         DEPLOYMENT_STATE_UNSPECIFIED = 0
         DEPLOYED = 1
         UNDEPLOYED = 2
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client.py
index bc5ff579ec7f..8a7d01e61049 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client.py
@@ -28,24 +28,25 @@
 
 from google.cloud.automl_v1beta1.gapic import enums
 from google.cloud.automl_v1beta1.gapic import prediction_service_client_config
-from google.cloud.automl_v1beta1.gapic.transports import prediction_service_grpc_transport
+from google.cloud.automl_v1beta1.gapic.transports import (
+    prediction_service_grpc_transport,
+)
 from google.cloud.automl_v1beta1.proto import data_items_pb2
 from google.cloud.automl_v1beta1.proto import prediction_service_pb2
 from google.cloud.automl_v1beta1.proto import prediction_service_pb2_grpc
 
-_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution(
-    'google-cloud-automl', ).version
+_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-automl").version
 
 
 class PredictionServiceClient(object):
     """AutoML Prediction API."""
 
-    SERVICE_ADDRESS = 'automl.googleapis.com:443'
+    SERVICE_ADDRESS = "automl.googleapis.com:443"
     """The default address of the service."""
 
     # The name of the interface for this client. This is the key used to
     # find the method configuration in the client_config dictionary.
-    _INTERFACE_NAME = 'google.cloud.automl.v1beta1.PredictionService'
+    _INTERFACE_NAME = "google.cloud.automl.v1beta1.PredictionService"
 
     @classmethod
     def from_service_account_file(cls, filename, *args, **kwargs):
@@ -61,9 +62,8 @@ def from_service_account_file(cls, filename, *args, **kwargs):
         Returns:
             PredictionServiceClient: The constructed client.
         """
-        credentials = service_account.Credentials.from_service_account_file(
-            filename)
-        kwargs['credentials'] = credentials
+        credentials = service_account.Credentials.from_service_account_file(filename)
+        kwargs["credentials"] = credentials
         return cls(*args, **kwargs)
 
     from_service_account_json = from_service_account_file
@@ -72,18 +72,20 @@ def from_service_account_file(cls, filename, *args, **kwargs):
     def model_path(cls, project, location, model):
         """Return a fully-qualified model string."""
         return google.api_core.path_template.expand(
-            'projects/{project}/locations/{location}/models/{model}',
+            "projects/{project}/locations/{location}/models/{model}",
             project=project,
             location=location,
             model=model,
         )
 
-    def __init__(self,
-                 transport=None,
-                 channel=None,
-                 credentials=None,
-                 client_config=None,
-                 client_info=None):
+    def __init__(
+        self,
+        transport=None,
+        channel=None,
+        credentials=None,
+        client_config=None,
+        client_info=None,
+    ):
         """Constructor.
 
         Args:
@@ -117,18 +119,19 @@ def __init__(self,
         # Raise deprecation warnings for things we want to go away.
         if client_config is not None:
             warnings.warn(
-                'The `client_config` argument is deprecated.',
+                "The `client_config` argument is deprecated.",
                 PendingDeprecationWarning,
-                stacklevel=2)
+                stacklevel=2,
+            )
         else:
             client_config = prediction_service_client_config.config
 
         if channel:
             warnings.warn(
-                'The `channel` argument is deprecated; use '
-                '`transport` instead.',
+                "The `channel` argument is deprecated; use " "`transport` instead.",
                 PendingDeprecationWarning,
-                stacklevel=2)
+                stacklevel=2,
+            )
 
         # Instantiate the transport.
         # The transport is responsible for handling serialization and
@@ -137,25 +140,24 @@ def __init__(self,
             if callable(transport):
                 self.transport = transport(
                     credentials=credentials,
-                    default_class=prediction_service_grpc_transport.
-                    PredictionServiceGrpcTransport,
+                    default_class=prediction_service_grpc_transport.PredictionServiceGrpcTransport,
                 )
             else:
                 if credentials:
                     raise ValueError(
-                        'Received both a transport instance and '
-                        'credentials; these are mutually exclusive.')
+                        "Received both a transport instance and "
+                        "credentials; these are mutually exclusive."
+                    )
                 self.transport = transport
         else:
             self.transport = prediction_service_grpc_transport.PredictionServiceGrpcTransport(
-                address=self.SERVICE_ADDRESS,
-                channel=channel,
-                credentials=credentials,
+                address=self.SERVICE_ADDRESS, channel=channel, credentials=credentials
             )
 
         if client_info is None:
             client_info = google.api_core.gapic_v1.client_info.ClientInfo(
-                gapic_version=_GAPIC_LIBRARY_VERSION, )
+                gapic_version=_GAPIC_LIBRARY_VERSION
+            )
         else:
             client_info.gapic_version = _GAPIC_LIBRARY_VERSION
         self._client_info = client_info
@@ -165,7 +167,8 @@ def __init__(self,
         # (Ordinarily, these are the defaults specified in the `*_config.py`
         # file next to this one.)
         self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
-            client_config['interfaces'][self._INTERFACE_NAME], )
+            client_config["interfaces"][self._INTERFACE_NAME]
+        )
 
         # Save a dictionary of cached API call functions.
         # These are the actual callables which invoke the proper
@@ -174,13 +177,15 @@ def __init__(self,
         self._inner_api_calls = {}
 
     # Service calls
-    def predict(self,
-                name,
-                payload,
-                params=None,
-                retry=google.api_core.gapic_v1.method.DEFAULT,
-                timeout=google.api_core.gapic_v1.method.DEFAULT,
-                metadata=None):
+    def predict(
+        self,
+        name,
+        payload,
+        params=None,
+        retry=google.api_core.gapic_v1.method.DEFAULT,
+        timeout=google.api_core.gapic_v1.method.DEFAULT,
+        metadata=None,
+    ):
         """
         Perform a prediction.
 
@@ -232,19 +237,19 @@ def predict(self,
             ValueError: If the parameters are invalid.
         """
         # Wrap the transport method to add retry and timeout logic.
-        if 'predict' not in self._inner_api_calls:
+        if "predict" not in self._inner_api_calls:
             self._inner_api_calls[
-                'predict'] = google.api_core.gapic_v1.method.wrap_method(
-                    self.transport.predict,
-                    default_retry=self._method_configs['Predict'].retry,
-                    default_timeout=self._method_configs['Predict'].timeout,
-                    client_info=self._client_info,
-                )
+                "predict"
+            ] = google.api_core.gapic_v1.method.wrap_method(
+                self.transport.predict,
+                default_retry=self._method_configs["Predict"].retry,
+                default_timeout=self._method_configs["Predict"].timeout,
+                client_info=self._client_info,
+            )
 
         request = prediction_service_pb2.PredictRequest(
-            name=name,
-            payload=payload,
-            params=params,
+            name=name, payload=payload, params=params
+        )
+        return self._inner_api_calls["predict"](
+            request, retry=retry, timeout=timeout, metadata=metadata
         )
-        return self._inner_api_calls['predict'](
-            request, retry=retry, timeout=timeout, metadata=metadata)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client_config.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client_config.py
index 225cbca85413..aee4b80446f8 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client_config.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/prediction_service_client_config.py
@@ -3,7 +3,7 @@
         "google.cloud.automl.v1beta1.PredictionService": {
             "retry_codes": {
                 "idempotent": ["DEADLINE_EXCEEDED", "UNAVAILABLE"],
-                "non_idempotent": []
+                "non_idempotent": [],
             },
             "retry_params": {
                 "default": {
@@ -13,16 +13,16 @@
                     "initial_rpc_timeout_millis": 60000,
                     "rpc_timeout_multiplier": 1.0,
                     "max_rpc_timeout_millis": 60000,
-                    "total_timeout_millis": 600000
+                    "total_timeout_millis": 600000,
                 }
             },
             "methods": {
                 "Predict": {
                     "timeout_millis": 60000,
                     "retry_codes_name": "non_idempotent",
-                    "retry_params_name": "default"
+                    "retry_params_name": "default",
                 }
-            }
+            },
         }
     }
 }
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/auto_ml_grpc_transport.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/auto_ml_grpc_transport.py
index 3f197157afad..fea046b8ca4e 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/auto_ml_grpc_transport.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/auto_ml_grpc_transport.py
@@ -28,14 +28,14 @@ class AutoMlGrpcTransport(object):
     which can be used to take advantage of advanced
     features of gRPC.
     """
+
     # The scopes needed to make gRPC calls to all of the methods defined
     # in this service.
-    _OAUTH_SCOPES = ('https://www.googleapis.com/auth/cloud-platform', )
+    _OAUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
 
-    def __init__(self,
-                 channel=None,
-                 credentials=None,
-                 address='automl.googleapis.com:443'):
+    def __init__(
+        self, channel=None, credentials=None, address="automl.googleapis.com:443"
+    ):
         """Instantiate the transport class.
 
         Args:
@@ -53,34 +53,28 @@ def __init__(self,
         # exception (channels come with credentials baked in already).
         if channel is not None and credentials is not None:
             raise ValueError(
-                'The `channel` and `credentials` arguments are mutually '
-                'exclusive.', )
+                "The `channel` and `credentials` arguments are mutually " "exclusive."
+            )
 
         # Create the channel.
         if channel is None:
-            channel = self.create_channel(
-                address=address,
-                credentials=credentials,
-            )
+            channel = self.create_channel(address=address, credentials=credentials)
 
         self._channel = channel
 
         # gRPC uses objects called "stubs" that are bound to the
         # channel and provide a basic method for each RPC.
-        self._stubs = {
-            'auto_ml_stub': service_pb2_grpc.AutoMlStub(channel),
-        }
+        self._stubs = {"auto_ml_stub": service_pb2_grpc.AutoMlStub(channel)}
 
         # Because this API includes a method that returns a
         # long-running operation (proto: google.longrunning.Operation),
         # instantiate an LRO client.
         self._operations_client = google.api_core.operations_v1.OperationsClient(
-            channel)
+            channel
+        )
 
     @classmethod
-    def create_channel(cls,
-                       address='automl.googleapis.com:443',
-                       credentials=None):
+    def create_channel(cls, address="automl.googleapis.com:443", credentials=None):
         """Create and return a gRPC channel object.
 
         Args:
@@ -95,9 +89,7 @@ def create_channel(cls,
             grpc.Channel: A gRPC channel object.
         """
         return google.api_core.grpc_helpers.create_channel(
-            address,
-            credentials=credentials,
-            scopes=cls._OAUTH_SCOPES,
+            address, credentials=credentials, scopes=cls._OAUTH_SCOPES
         )
 
     @property
@@ -120,7 +112,7 @@ def create_dataset(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].CreateDataset
+        return self._stubs["auto_ml_stub"].CreateDataset
 
     @property
     def get_dataset(self):
@@ -133,7 +125,7 @@ def get_dataset(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].GetDataset
+        return self._stubs["auto_ml_stub"].GetDataset
 
     @property
     def list_datasets(self):
@@ -146,7 +138,7 @@ def list_datasets(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].ListDatasets
+        return self._stubs["auto_ml_stub"].ListDatasets
 
     @property
     def delete_dataset(self):
@@ -161,7 +153,7 @@ def delete_dataset(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].DeleteDataset
+        return self._stubs["auto_ml_stub"].DeleteDataset
 
     @property
     def import_data(self):
@@ -175,7 +167,7 @@ def import_data(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].ImportData
+        return self._stubs["auto_ml_stub"].ImportData
 
     @property
     def export_data(self):
@@ -189,7 +181,7 @@ def export_data(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].ExportData
+        return self._stubs["auto_ml_stub"].ExportData
 
     @property
     def create_model(self):
@@ -205,7 +197,7 @@ def create_model(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].CreateModel
+        return self._stubs["auto_ml_stub"].CreateModel
 
     @property
     def get_model(self):
@@ -218,7 +210,7 @@ def get_model(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].GetModel
+        return self._stubs["auto_ml_stub"].GetModel
 
     @property
     def list_models(self):
@@ -231,7 +223,7 @@ def list_models(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].ListModels
+        return self._stubs["auto_ml_stub"].ListModels
 
     @property
     def delete_model(self):
@@ -248,7 +240,7 @@ def delete_model(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].DeleteModel
+        return self._stubs["auto_ml_stub"].DeleteModel
 
     @property
     def deploy_model(self):
@@ -262,7 +254,7 @@ def deploy_model(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].DeployModel
+        return self._stubs["auto_ml_stub"].DeployModel
 
     @property
     def undeploy_model(self):
@@ -276,7 +268,7 @@ def undeploy_model(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].UndeployModel
+        return self._stubs["auto_ml_stub"].UndeployModel
 
     @property
     def get_model_evaluation(self):
@@ -289,7 +281,7 @@ def get_model_evaluation(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].GetModelEvaluation
+        return self._stubs["auto_ml_stub"].GetModelEvaluation
 
     @property
     def list_model_evaluations(self):
@@ -302,4 +294,4 @@ def list_model_evaluations(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['auto_ml_stub'].ListModelEvaluations
+        return self._stubs["auto_ml_stub"].ListModelEvaluations
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/prediction_service_grpc_transport.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/prediction_service_grpc_transport.py
index e837dc2bc03b..68d95e9423a1 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/prediction_service_grpc_transport.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/gapic/transports/prediction_service_grpc_transport.py
@@ -27,14 +27,14 @@ class PredictionServiceGrpcTransport(object):
     which can be used to take advantage of advanced
     features of gRPC.
     """
+
     # The scopes needed to make gRPC calls to all of the methods defined
     # in this service.
-    _OAUTH_SCOPES = ('https://www.googleapis.com/auth/cloud-platform', )
+    _OAUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
 
-    def __init__(self,
-                 channel=None,
-                 credentials=None,
-                 address='automl.googleapis.com:443'):
+    def __init__(
+        self, channel=None, credentials=None, address="automl.googleapis.com:443"
+    ):
         """Instantiate the transport class.
 
         Args:
@@ -52,29 +52,25 @@ def __init__(self,
         # exception (channels come with credentials baked in already).
         if channel is not None and credentials is not None:
             raise ValueError(
-                'The `channel` and `credentials` arguments are mutually '
-                'exclusive.', )
+                "The `channel` and `credentials` arguments are mutually " "exclusive."
+            )
 
         # Create the channel.
         if channel is None:
-            channel = self.create_channel(
-                address=address,
-                credentials=credentials,
-            )
+            channel = self.create_channel(address=address, credentials=credentials)
 
         self._channel = channel
 
         # gRPC uses objects called "stubs" that are bound to the
         # channel and provide a basic method for each RPC.
         self._stubs = {
-            'prediction_service_stub':
-            prediction_service_pb2_grpc.PredictionServiceStub(channel),
+            "prediction_service_stub": prediction_service_pb2_grpc.PredictionServiceStub(
+                channel
+            )
         }
 
     @classmethod
-    def create_channel(cls,
-                       address='automl.googleapis.com:443',
-                       credentials=None):
+    def create_channel(cls, address="automl.googleapis.com:443", credentials=None):
         """Create and return a gRPC channel object.
 
         Args:
@@ -89,9 +85,7 @@ def create_channel(cls,
             grpc.Channel: A gRPC channel object.
         """
         return google.api_core.grpc_helpers.create_channel(
-            address,
-            credentials=credentials,
-            scopes=cls._OAUTH_SCOPES,
+            address, credentials=credentials, scopes=cls._OAUTH_SCOPES
         )
 
     @property
@@ -114,4 +108,4 @@ def predict(self):
                 deserialized request object and returns a
                 deserialized response object.
         """
-        return self._stubs['prediction_service_stub'].Predict
+        return self._stubs["prediction_service_stub"].Predict
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2.py
index 5f602a2ee710..047ae237e8f4 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2.py
@@ -2,103 +2,175 @@
 # source: google/cloud/automl_v1beta1/proto/annotation_payload.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2
-from google.cloud.automl_v1beta1.proto import translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2
+from google.cloud.automl_v1beta1.proto import (
+    classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2,
+)
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/annotation_payload.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\"\xeb\x01\n\x11\x41nnotationPayload\x12I\n\x0btranslation\x18\x02 \x01(\x0b\x32\x32.google.cloud.automl.v1beta1.TranslationAnnotationH\x00\x12O\n\x0e\x63lassification\x18\x03 \x01(\x0b\x32\x35.google.cloud.automl.v1beta1.ClassificationAnnotationH\x00\x12\x1a\n\x12\x61nnotation_spec_id\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x05 \x01(\tB\x08\n\x06\x64\x65tailBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/annotation_payload.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto"\xeb\x01\n\x11\x41nnotationPayload\x12I\n\x0btranslation\x18\x02 \x01(\x0b\x32\x32.google.cloud.automl.v1beta1.TranslationAnnotationH\x00\x12O\n\x0e\x63lassification\x18\x03 \x01(\x0b\x32\x35.google.cloud.automl.v1beta1.ClassificationAnnotationH\x00\x12\x1a\n\x12\x61nnotation_spec_id\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x05 \x01(\tB\x08\n\x06\x64\x65tailBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _ANNOTATIONPAYLOAD = _descriptor.Descriptor(
-  name='AnnotationPayload',
-  full_name='google.cloud.automl.v1beta1.AnnotationPayload',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='translation', full_name='google.cloud.automl.v1beta1.AnnotationPayload.translation', index=0,
-      number=2, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='classification', full_name='google.cloud.automl.v1beta1.AnnotationPayload.classification', index=1,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='annotation_spec_id', full_name='google.cloud.automl.v1beta1.AnnotationPayload.annotation_spec_id', index=2,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='display_name', full_name='google.cloud.automl.v1beta1.AnnotationPayload.display_name', index=3,
-      number=5, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='detail', full_name='google.cloud.automl.v1beta1.AnnotationPayload.detail',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=231,
-  serialized_end=466,
+    name="AnnotationPayload",
+    full_name="google.cloud.automl.v1beta1.AnnotationPayload",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="translation",
+            full_name="google.cloud.automl.v1beta1.AnnotationPayload.translation",
+            index=0,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="classification",
+            full_name="google.cloud.automl.v1beta1.AnnotationPayload.classification",
+            index=1,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="annotation_spec_id",
+            full_name="google.cloud.automl.v1beta1.AnnotationPayload.annotation_spec_id",
+            index=2,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="display_name",
+            full_name="google.cloud.automl.v1beta1.AnnotationPayload.display_name",
+            index=3,
+            number=5,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="detail",
+            full_name="google.cloud.automl.v1beta1.AnnotationPayload.detail",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=231,
+    serialized_end=466,
 )
 
-_ANNOTATIONPAYLOAD.fields_by_name['translation'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONANNOTATION
-_ANNOTATIONPAYLOAD.fields_by_name['classification'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONANNOTATION
-_ANNOTATIONPAYLOAD.oneofs_by_name['detail'].fields.append(
-  _ANNOTATIONPAYLOAD.fields_by_name['translation'])
-_ANNOTATIONPAYLOAD.fields_by_name['translation'].containing_oneof = _ANNOTATIONPAYLOAD.oneofs_by_name['detail']
-_ANNOTATIONPAYLOAD.oneofs_by_name['detail'].fields.append(
-  _ANNOTATIONPAYLOAD.fields_by_name['classification'])
-_ANNOTATIONPAYLOAD.fields_by_name['classification'].containing_oneof = _ANNOTATIONPAYLOAD.oneofs_by_name['detail']
-DESCRIPTOR.message_types_by_name['AnnotationPayload'] = _ANNOTATIONPAYLOAD
+_ANNOTATIONPAYLOAD.fields_by_name[
+    "translation"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONANNOTATION
+)
+_ANNOTATIONPAYLOAD.fields_by_name[
+    "classification"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONANNOTATION
+)
+_ANNOTATIONPAYLOAD.oneofs_by_name["detail"].fields.append(
+    _ANNOTATIONPAYLOAD.fields_by_name["translation"]
+)
+_ANNOTATIONPAYLOAD.fields_by_name[
+    "translation"
+].containing_oneof = _ANNOTATIONPAYLOAD.oneofs_by_name["detail"]
+_ANNOTATIONPAYLOAD.oneofs_by_name["detail"].fields.append(
+    _ANNOTATIONPAYLOAD.fields_by_name["classification"]
+)
+_ANNOTATIONPAYLOAD.fields_by_name[
+    "classification"
+].containing_oneof = _ANNOTATIONPAYLOAD.oneofs_by_name["detail"]
+DESCRIPTOR.message_types_by_name["AnnotationPayload"] = _ANNOTATIONPAYLOAD
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-AnnotationPayload = _reflection.GeneratedProtocolMessageType('AnnotationPayload', (_message.Message,), dict(
-  DESCRIPTOR = _ANNOTATIONPAYLOAD,
-  __module__ = 'google.cloud.automl_v1beta1.proto.annotation_payload_pb2'
-  ,
-  __doc__ = """Contains annotation information that is relevant to AutoML.
+AnnotationPayload = _reflection.GeneratedProtocolMessageType(
+    "AnnotationPayload",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_ANNOTATIONPAYLOAD,
+        __module__="google.cloud.automl_v1beta1.proto.annotation_payload_pb2",
+        __doc__="""Contains annotation information that is relevant to AutoML.
   
   
   Attributes:
@@ -122,11 +194,17 @@
           dataset, the returned value could be different as model owner
           could update the display\_name between any two model training.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.AnnotationPayload)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.AnnotationPayload)
+    ),
+)
 _sym_db.RegisterMessage(AnnotationPayload)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/annotation_payload_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2.py
index ac949b202e35..1cd2b1989a3f 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2.py
@@ -2,13 +2,15 @@
 # source: google/cloud/automl_v1beta1/proto/classification.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf.internal import enum_type_wrapper
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
@@ -18,36 +20,39 @@
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/classification.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n6google/cloud/automl_v1beta1/proto/classification.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\")\n\x18\x43lassificationAnnotation\x12\r\n\x05score\x18\x01 \x01(\x02\"\x9d\x05\n\x1f\x43lassificationEvaluationMetrics\x12\x0e\n\x06\x61u_prc\x18\x01 \x01(\x02\x12\x13\n\x0b\x62\x61se_au_prc\x18\x02 \x01(\x02\x12u\n\x18\x63onfidence_metrics_entry\x18\x03 \x03(\x0b\x32S.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry\x12\x66\n\x10\x63onfusion_matrix\x18\x04 \x01(\x0b\x32L.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix\x12\x1a\n\x12\x61nnotation_spec_id\x18\x05 \x03(\t\x1a\xac\x01\n\x16\x43onfidenceMetricsEntry\x12\x1c\n\x14\x63onfidence_threshold\x18\x01 \x01(\x02\x12\x0e\n\x06recall\x18\x02 \x01(\x02\x12\x11\n\tprecision\x18\x03 \x01(\x02\x12\x10\n\x08\x66\x31_score\x18\x04 \x01(\x02\x12\x12\n\nrecall_at1\x18\x05 \x01(\x02\x12\x15\n\rprecision_at1\x18\x06 \x01(\x02\x12\x14\n\x0c\x66\x31_score_at1\x18\x07 \x01(\x02\x1a\xaa\x01\n\x0f\x43onfusionMatrix\x12\x1a\n\x12\x61nnotation_spec_id\x18\x01 \x03(\t\x12]\n\x03row\x18\x02 \x03(\x0b\x32P.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row\x1a\x1c\n\x03Row\x12\x15\n\rexample_count\x18\x01 \x03(\x05*Y\n\x12\x43lassificationType\x12#\n\x1f\x43LASSIFICATION_TYPE_UNSPECIFIED\x10\x00\x12\x0e\n\nMULTICLASS\x10\x01\x12\x0e\n\nMULTILABEL\x10\x02\x42y\n\x1f\x63om.google.cloud.automl.v1beta1B\x13\x43lassificationProtoZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,])
+    name="google/cloud/automl_v1beta1/proto/classification.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n6google/cloud/automl_v1beta1/proto/classification.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto")\n\x18\x43lassificationAnnotation\x12\r\n\x05score\x18\x01 \x01(\x02"\x9d\x05\n\x1f\x43lassificationEvaluationMetrics\x12\x0e\n\x06\x61u_prc\x18\x01 \x01(\x02\x12\x13\n\x0b\x62\x61se_au_prc\x18\x02 \x01(\x02\x12u\n\x18\x63onfidence_metrics_entry\x18\x03 \x03(\x0b\x32S.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry\x12\x66\n\x10\x63onfusion_matrix\x18\x04 \x01(\x0b\x32L.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix\x12\x1a\n\x12\x61nnotation_spec_id\x18\x05 \x03(\t\x1a\xac\x01\n\x16\x43onfidenceMetricsEntry\x12\x1c\n\x14\x63onfidence_threshold\x18\x01 \x01(\x02\x12\x0e\n\x06recall\x18\x02 \x01(\x02\x12\x11\n\tprecision\x18\x03 \x01(\x02\x12\x10\n\x08\x66\x31_score\x18\x04 \x01(\x02\x12\x12\n\nrecall_at1\x18\x05 \x01(\x02\x12\x15\n\rprecision_at1\x18\x06 \x01(\x02\x12\x14\n\x0c\x66\x31_score_at1\x18\x07 \x01(\x02\x1a\xaa\x01\n\x0f\x43onfusionMatrix\x12\x1a\n\x12\x61nnotation_spec_id\x18\x01 \x03(\t\x12]\n\x03row\x18\x02 \x03(\x0b\x32P.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row\x1a\x1c\n\x03Row\x12\x15\n\rexample_count\x18\x01 \x03(\x05*Y\n\x12\x43lassificationType\x12#\n\x1f\x43LASSIFICATION_TYPE_UNSPECIFIED\x10\x00\x12\x0e\n\nMULTICLASS\x10\x01\x12\x0e\n\nMULTILABEL\x10\x02\x42y\n\x1f\x63om.google.cloud.automl.v1beta1B\x13\x43lassificationProtoZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR],
+)
 
 _CLASSIFICATIONTYPE = _descriptor.EnumDescriptor(
-  name='ClassificationType',
-  full_name='google.cloud.automl.v1beta1.ClassificationType',
-  filename=None,
-  file=DESCRIPTOR,
-  values=[
-    _descriptor.EnumValueDescriptor(
-      name='CLASSIFICATION_TYPE_UNSPECIFIED', index=0, number=0,
-      options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='MULTICLASS', index=1, number=1,
-      options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='MULTILABEL', index=2, number=2,
-      options=None,
-      type=None),
-  ],
-  containing_type=None,
-  options=None,
-  serialized_start=832,
-  serialized_end=921,
+    name="ClassificationType",
+    full_name="google.cloud.automl.v1beta1.ClassificationType",
+    filename=None,
+    file=DESCRIPTOR,
+    values=[
+        _descriptor.EnumValueDescriptor(
+            name="CLASSIFICATION_TYPE_UNSPECIFIED",
+            index=0,
+            number=0,
+            options=None,
+            type=None,
+        ),
+        _descriptor.EnumValueDescriptor(
+            name="MULTICLASS", index=1, number=1, options=None, type=None
+        ),
+        _descriptor.EnumValueDescriptor(
+            name="MULTILABEL", index=2, number=2, options=None, type=None
+        ),
+    ],
+    containing_type=None,
+    options=None,
+    serialized_start=832,
+    serialized_end=921,
 )
 _sym_db.RegisterEnumDescriptor(_CLASSIFICATIONTYPE)
 
@@ -57,251 +62,430 @@
 MULTILABEL = 2
 
 
-
 _CLASSIFICATIONANNOTATION = _descriptor.Descriptor(
-  name='ClassificationAnnotation',
-  full_name='google.cloud.automl.v1beta1.ClassificationAnnotation',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='score', full_name='google.cloud.automl.v1beta1.ClassificationAnnotation.score', index=0,
-      number=1, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=117,
-  serialized_end=158,
+    name="ClassificationAnnotation",
+    full_name="google.cloud.automl.v1beta1.ClassificationAnnotation",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="score",
+            full_name="google.cloud.automl.v1beta1.ClassificationAnnotation.score",
+            index=0,
+            number=1,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=117,
+    serialized_end=158,
 )
 
 
 _CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY = _descriptor.Descriptor(
-  name='ConfidenceMetricsEntry',
-  full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='confidence_threshold', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.confidence_threshold', index=0,
-      number=1, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='recall', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall', index=1,
-      number=2, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='precision', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision', index=2,
-      number=3, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='f1_score', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.f1_score', index=3,
-      number=4, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='recall_at1', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1', index=4,
-      number=5, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='precision_at1', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1', index=5,
-      number=6, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='f1_score_at1', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.f1_score_at1', index=6,
-      number=7, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=485,
-  serialized_end=657,
+    name="ConfidenceMetricsEntry",
+    full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="confidence_threshold",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.confidence_threshold",
+            index=0,
+            number=1,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="recall",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall",
+            index=1,
+            number=2,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="precision",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision",
+            index=2,
+            number=3,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="f1_score",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.f1_score",
+            index=3,
+            number=4,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="recall_at1",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1",
+            index=4,
+            number=5,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="precision_at1",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1",
+            index=5,
+            number=6,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="f1_score_at1",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.f1_score_at1",
+            index=6,
+            number=7,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=485,
+    serialized_end=657,
 )
 
 _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW = _descriptor.Descriptor(
-  name='Row',
-  full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='example_count', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row.example_count', index=0,
-      number=1, type=5, cpp_type=1, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=802,
-  serialized_end=830,
+    name="Row",
+    full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="example_count",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row.example_count",
+            index=0,
+            number=1,
+            type=5,
+            cpp_type=1,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=802,
+    serialized_end=830,
 )
 
 _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX = _descriptor.Descriptor(
-  name='ConfusionMatrix',
-  full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='annotation_spec_id', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.annotation_spec_id', index=0,
-      number=1, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='row', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.row', index=1,
-      number=2, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW, ],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=660,
-  serialized_end=830,
+    name="ConfusionMatrix",
+    full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="annotation_spec_id",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.annotation_spec_id",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="row",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.row",
+            index=1,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=660,
+    serialized_end=830,
 )
 
 _CLASSIFICATIONEVALUATIONMETRICS = _descriptor.Descriptor(
-  name='ClassificationEvaluationMetrics',
-  full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='au_prc', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.au_prc', index=0,
-      number=1, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='base_au_prc', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc', index=1,
-      number=2, type=2, cpp_type=6, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='confidence_metrics_entry', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.confidence_metrics_entry', index=2,
-      number=3, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='confusion_matrix', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.confusion_matrix', index=3,
-      number=4, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='annotation_spec_id', full_name='google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.annotation_spec_id', index=4,
-      number=5, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY, _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX, ],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=161,
-  serialized_end=830,
+    name="ClassificationEvaluationMetrics",
+    full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="au_prc",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.au_prc",
+            index=0,
+            number=1,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="base_au_prc",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc",
+            index=1,
+            number=2,
+            type=2,
+            cpp_type=6,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="confidence_metrics_entry",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.confidence_metrics_entry",
+            index=2,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="confusion_matrix",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.confusion_matrix",
+            index=3,
+            number=4,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="annotation_spec_id",
+            full_name="google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.annotation_spec_id",
+            index=4,
+            number=5,
+            type=9,
+            cpp_type=9,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[
+        _CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY,
+        _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX,
+    ],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=161,
+    serialized_end=830,
 )
 
-_CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY.containing_type = _CLASSIFICATIONEVALUATIONMETRICS
-_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW.containing_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX
-_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX.fields_by_name['row'].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW
-_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX.containing_type = _CLASSIFICATIONEVALUATIONMETRICS
-_CLASSIFICATIONEVALUATIONMETRICS.fields_by_name['confidence_metrics_entry'].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY
-_CLASSIFICATIONEVALUATIONMETRICS.fields_by_name['confusion_matrix'].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX
-DESCRIPTOR.message_types_by_name['ClassificationAnnotation'] = _CLASSIFICATIONANNOTATION
-DESCRIPTOR.message_types_by_name['ClassificationEvaluationMetrics'] = _CLASSIFICATIONEVALUATIONMETRICS
-DESCRIPTOR.enum_types_by_name['ClassificationType'] = _CLASSIFICATIONTYPE
+_CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY.containing_type = (
+    _CLASSIFICATIONEVALUATIONMETRICS
+)
+_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW.containing_type = (
+    _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX
+)
+_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX.fields_by_name[
+    "row"
+].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW
+_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX.containing_type = (
+    _CLASSIFICATIONEVALUATIONMETRICS
+)
+_CLASSIFICATIONEVALUATIONMETRICS.fields_by_name[
+    "confidence_metrics_entry"
+].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY
+_CLASSIFICATIONEVALUATIONMETRICS.fields_by_name[
+    "confusion_matrix"
+].message_type = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX
+DESCRIPTOR.message_types_by_name["ClassificationAnnotation"] = _CLASSIFICATIONANNOTATION
+DESCRIPTOR.message_types_by_name[
+    "ClassificationEvaluationMetrics"
+] = _CLASSIFICATIONEVALUATIONMETRICS
+DESCRIPTOR.enum_types_by_name["ClassificationType"] = _CLASSIFICATIONTYPE
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-ClassificationAnnotation = _reflection.GeneratedProtocolMessageType('ClassificationAnnotation', (_message.Message,), dict(
-  DESCRIPTOR = _CLASSIFICATIONANNOTATION,
-  __module__ = 'google.cloud.automl_v1beta1.proto.classification_pb2'
-  ,
-  __doc__ = """Contains annotation details specific to classification.
+ClassificationAnnotation = _reflection.GeneratedProtocolMessageType(
+    "ClassificationAnnotation",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_CLASSIFICATIONANNOTATION,
+        __module__="google.cloud.automl_v1beta1.proto.classification_pb2",
+        __doc__="""Contains annotation details specific to classification.
   
   
   Attributes:
@@ -312,17 +496,22 @@
           positive, the score value remains unchanged. If a user creates
           an annotation, the score is 0 for negative or 1 for positive.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationAnnotation)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationAnnotation)
+    ),
+)
 _sym_db.RegisterMessage(ClassificationAnnotation)
 
-ClassificationEvaluationMetrics = _reflection.GeneratedProtocolMessageType('ClassificationEvaluationMetrics', (_message.Message,), dict(
-
-  ConfidenceMetricsEntry = _reflection.GeneratedProtocolMessageType('ConfidenceMetricsEntry', (_message.Message,), dict(
-    DESCRIPTOR = _CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY,
-    __module__ = 'google.cloud.automl_v1beta1.proto.classification_pb2'
-    ,
-    __doc__ = """Metrics for a single confidence threshold.
+ClassificationEvaluationMetrics = _reflection.GeneratedProtocolMessageType(
+    "ClassificationEvaluationMetrics",
+    (_message.Message,),
+    dict(
+        ConfidenceMetricsEntry=_reflection.GeneratedProtocolMessageType(
+            "ConfidenceMetricsEntry",
+            (_message.Message,),
+            dict(
+                DESCRIPTOR=_CLASSIFICATIONEVALUATIONMETRICS_CONFIDENCEMETRICSENTRY,
+                __module__="google.cloud.automl_v1beta1.proto.classification_pb2",
+                __doc__="""Metrics for a single confidence threshold.
     
     
     Attributes:
@@ -350,17 +539,20 @@
             1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.
             precision\_at1].
     """,
-    # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry)
-    ))
-  ,
-
-  ConfusionMatrix = _reflection.GeneratedProtocolMessageType('ConfusionMatrix', (_message.Message,), dict(
-
-    Row = _reflection.GeneratedProtocolMessageType('Row', (_message.Message,), dict(
-      DESCRIPTOR = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW,
-      __module__ = 'google.cloud.automl_v1beta1.proto.classification_pb2'
-      ,
-      __doc__ = """Output only. A row in the confusion matrix.
+                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry)
+            ),
+        ),
+        ConfusionMatrix=_reflection.GeneratedProtocolMessageType(
+            "ConfusionMatrix",
+            (_message.Message,),
+            dict(
+                Row=_reflection.GeneratedProtocolMessageType(
+                    "Row",
+                    (_message.Message,),
+                    dict(
+                        DESCRIPTOR=_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX_ROW,
+                        __module__="google.cloud.automl_v1beta1.proto.classification_pb2",
+                        __doc__="""Output only. A row in the confusion matrix.
       
       
       Attributes:
@@ -369,13 +561,12 @@
               matrix. The number of values each row is equal to the size of
               annotatin\_spec\_id.
       """,
-      # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row)
-      ))
-    ,
-    DESCRIPTOR = _CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX,
-    __module__ = 'google.cloud.automl_v1beta1.proto.classification_pb2'
-    ,
-    __doc__ = """Confusion matrix of the model running the classification.
+                        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row)
+                    ),
+                ),
+                DESCRIPTOR=_CLASSIFICATIONEVALUATIONMETRICS_CONFUSIONMATRIX,
+                __module__="google.cloud.automl_v1beta1.proto.classification_pb2",
+                __doc__="""Confusion matrix of the model running the classification.
     
     
     Attributes:
@@ -389,13 +580,12 @@
             truth of the ``annotation_spec_id[i]`` and are predicted as
             ``annotation_spec_id[j]`` by the model being evaluated.
     """,
-    # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix)
-    ))
-  ,
-  DESCRIPTOR = _CLASSIFICATIONEVALUATIONMETRICS,
-  __module__ = 'google.cloud.automl_v1beta1.proto.classification_pb2'
-  ,
-  __doc__ = """Model evaluation metrics for classification problems. Visible only to
+                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix)
+            ),
+        ),
+        DESCRIPTOR=_CLASSIFICATIONEVALUATIONMETRICS,
+        __module__="google.cloud.automl_v1beta1.proto.classification_pb2",
+        __doc__="""Model evaluation metrics for classification problems. Visible only to
   v1beta1
   
   
@@ -416,8 +606,9 @@
       annotation_spec_id:
           Output only. The annotation spec ids used for this evaluation.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ClassificationEvaluationMetrics)
+    ),
+)
 _sym_db.RegisterMessage(ClassificationEvaluationMetrics)
 _sym_db.RegisterMessage(ClassificationEvaluationMetrics.ConfidenceMetricsEntry)
 _sym_db.RegisterMessage(ClassificationEvaluationMetrics.ConfusionMatrix)
@@ -425,5 +616,10 @@
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\023ClassificationProtoZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\023ClassificationProtoZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/classification_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2.py
index a57cad6d9d8f..76bfbee65c55 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2.py
@@ -2,190 +2,294 @@
 # source: google/cloud/automl_v1beta1/proto/data_items.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import io_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2
+from google.cloud.automl_v1beta1.proto import (
+    io_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2,
+)
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/data_items.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n2google/cloud/automl_v1beta1/proto/data_items.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a*google/cloud/automl_v1beta1/proto/io.proto\"\x7f\n\x05Image\x12\x15\n\x0bimage_bytes\x18\x01 \x01(\x0cH\x00\x12@\n\x0cinput_config\x18\x06 \x01(\x0b\x32(.google.cloud.automl.v1beta1.InputConfigH\x00\x12\x15\n\rthumbnail_uri\x18\x04 \x01(\tB\x06\n\x04\x64\x61ta\"F\n\x0bTextSnippet\x12\x0f\n\x07\x63ontent\x18\x01 \x01(\t\x12\x11\n\tmime_type\x18\x02 \x01(\t\x12\x13\n\x0b\x63ontent_uri\x18\x04 \x01(\t\"\x92\x01\n\x0e\x45xamplePayload\x12\x33\n\x05image\x18\x01 \x01(\x0b\x32\".google.cloud.automl.v1beta1.ImageH\x00\x12@\n\x0ctext_snippet\x18\x02 \x01(\x0b\x32(.google.cloud.automl.v1beta1.TextSnippetH\x00\x42\t\n\x07payloadBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/data_items.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n2google/cloud/automl_v1beta1/proto/data_items.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a*google/cloud/automl_v1beta1/proto/io.proto"\x7f\n\x05Image\x12\x15\n\x0bimage_bytes\x18\x01 \x01(\x0cH\x00\x12@\n\x0cinput_config\x18\x06 \x01(\x0b\x32(.google.cloud.automl.v1beta1.InputConfigH\x00\x12\x15\n\rthumbnail_uri\x18\x04 \x01(\tB\x06\n\x04\x64\x61ta"F\n\x0bTextSnippet\x12\x0f\n\x07\x63ontent\x18\x01 \x01(\t\x12\x11\n\tmime_type\x18\x02 \x01(\t\x12\x13\n\x0b\x63ontent_uri\x18\x04 \x01(\t"\x92\x01\n\x0e\x45xamplePayload\x12\x33\n\x05image\x18\x01 \x01(\x0b\x32".google.cloud.automl.v1beta1.ImageH\x00\x12@\n\x0ctext_snippet\x18\x02 \x01(\x0b\x32(.google.cloud.automl.v1beta1.TextSnippetH\x00\x42\t\n\x07payloadBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _IMAGE = _descriptor.Descriptor(
-  name='Image',
-  full_name='google.cloud.automl.v1beta1.Image',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='image_bytes', full_name='google.cloud.automl.v1beta1.Image.image_bytes', index=0,
-      number=1, type=12, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b(""),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_config', full_name='google.cloud.automl.v1beta1.Image.input_config', index=1,
-      number=6, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='thumbnail_uri', full_name='google.cloud.automl.v1beta1.Image.thumbnail_uri', index=2,
-      number=4, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='data', full_name='google.cloud.automl.v1beta1.Image.data',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=157,
-  serialized_end=284,
+    name="Image",
+    full_name="google.cloud.automl.v1beta1.Image",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="image_bytes",
+            full_name="google.cloud.automl.v1beta1.Image.image_bytes",
+            index=0,
+            number=1,
+            type=12,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b(""),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="input_config",
+            full_name="google.cloud.automl.v1beta1.Image.input_config",
+            index=1,
+            number=6,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="thumbnail_uri",
+            full_name="google.cloud.automl.v1beta1.Image.thumbnail_uri",
+            index=2,
+            number=4,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="data",
+            full_name="google.cloud.automl.v1beta1.Image.data",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=157,
+    serialized_end=284,
 )
 
 
 _TEXTSNIPPET = _descriptor.Descriptor(
-  name='TextSnippet',
-  full_name='google.cloud.automl.v1beta1.TextSnippet',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='content', full_name='google.cloud.automl.v1beta1.TextSnippet.content', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='mime_type', full_name='google.cloud.automl.v1beta1.TextSnippet.mime_type', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='content_uri', full_name='google.cloud.automl.v1beta1.TextSnippet.content_uri', index=2,
-      number=4, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=286,
-  serialized_end=356,
+    name="TextSnippet",
+    full_name="google.cloud.automl.v1beta1.TextSnippet",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="content",
+            full_name="google.cloud.automl.v1beta1.TextSnippet.content",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="mime_type",
+            full_name="google.cloud.automl.v1beta1.TextSnippet.mime_type",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="content_uri",
+            full_name="google.cloud.automl.v1beta1.TextSnippet.content_uri",
+            index=2,
+            number=4,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=286,
+    serialized_end=356,
 )
 
 
 _EXAMPLEPAYLOAD = _descriptor.Descriptor(
-  name='ExamplePayload',
-  full_name='google.cloud.automl.v1beta1.ExamplePayload',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='image', full_name='google.cloud.automl.v1beta1.ExamplePayload.image', index=0,
-      number=1, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='text_snippet', full_name='google.cloud.automl.v1beta1.ExamplePayload.text_snippet', index=1,
-      number=2, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='payload', full_name='google.cloud.automl.v1beta1.ExamplePayload.payload',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=359,
-  serialized_end=505,
+    name="ExamplePayload",
+    full_name="google.cloud.automl.v1beta1.ExamplePayload",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="image",
+            full_name="google.cloud.automl.v1beta1.ExamplePayload.image",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="text_snippet",
+            full_name="google.cloud.automl.v1beta1.ExamplePayload.text_snippet",
+            index=1,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="payload",
+            full_name="google.cloud.automl.v1beta1.ExamplePayload.payload",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=359,
+    serialized_end=505,
 )
 
-_IMAGE.fields_by_name['input_config'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._INPUTCONFIG
-_IMAGE.oneofs_by_name['data'].fields.append(
-  _IMAGE.fields_by_name['image_bytes'])
-_IMAGE.fields_by_name['image_bytes'].containing_oneof = _IMAGE.oneofs_by_name['data']
-_IMAGE.oneofs_by_name['data'].fields.append(
-  _IMAGE.fields_by_name['input_config'])
-_IMAGE.fields_by_name['input_config'].containing_oneof = _IMAGE.oneofs_by_name['data']
-_EXAMPLEPAYLOAD.fields_by_name['image'].message_type = _IMAGE
-_EXAMPLEPAYLOAD.fields_by_name['text_snippet'].message_type = _TEXTSNIPPET
-_EXAMPLEPAYLOAD.oneofs_by_name['payload'].fields.append(
-  _EXAMPLEPAYLOAD.fields_by_name['image'])
-_EXAMPLEPAYLOAD.fields_by_name['image'].containing_oneof = _EXAMPLEPAYLOAD.oneofs_by_name['payload']
-_EXAMPLEPAYLOAD.oneofs_by_name['payload'].fields.append(
-  _EXAMPLEPAYLOAD.fields_by_name['text_snippet'])
-_EXAMPLEPAYLOAD.fields_by_name['text_snippet'].containing_oneof = _EXAMPLEPAYLOAD.oneofs_by_name['payload']
-DESCRIPTOR.message_types_by_name['Image'] = _IMAGE
-DESCRIPTOR.message_types_by_name['TextSnippet'] = _TEXTSNIPPET
-DESCRIPTOR.message_types_by_name['ExamplePayload'] = _EXAMPLEPAYLOAD
+_IMAGE.fields_by_name[
+    "input_config"
+].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._INPUTCONFIG
+_IMAGE.oneofs_by_name["data"].fields.append(_IMAGE.fields_by_name["image_bytes"])
+_IMAGE.fields_by_name["image_bytes"].containing_oneof = _IMAGE.oneofs_by_name["data"]
+_IMAGE.oneofs_by_name["data"].fields.append(_IMAGE.fields_by_name["input_config"])
+_IMAGE.fields_by_name["input_config"].containing_oneof = _IMAGE.oneofs_by_name["data"]
+_EXAMPLEPAYLOAD.fields_by_name["image"].message_type = _IMAGE
+_EXAMPLEPAYLOAD.fields_by_name["text_snippet"].message_type = _TEXTSNIPPET
+_EXAMPLEPAYLOAD.oneofs_by_name["payload"].fields.append(
+    _EXAMPLEPAYLOAD.fields_by_name["image"]
+)
+_EXAMPLEPAYLOAD.fields_by_name[
+    "image"
+].containing_oneof = _EXAMPLEPAYLOAD.oneofs_by_name["payload"]
+_EXAMPLEPAYLOAD.oneofs_by_name["payload"].fields.append(
+    _EXAMPLEPAYLOAD.fields_by_name["text_snippet"]
+)
+_EXAMPLEPAYLOAD.fields_by_name[
+    "text_snippet"
+].containing_oneof = _EXAMPLEPAYLOAD.oneofs_by_name["payload"]
+DESCRIPTOR.message_types_by_name["Image"] = _IMAGE
+DESCRIPTOR.message_types_by_name["TextSnippet"] = _TEXTSNIPPET
+DESCRIPTOR.message_types_by_name["ExamplePayload"] = _EXAMPLEPAYLOAD
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-Image = _reflection.GeneratedProtocolMessageType('Image', (_message.Message,), dict(
-  DESCRIPTOR = _IMAGE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.data_items_pb2'
-  ,
-  __doc__ = """A representation of an image.
+Image = _reflection.GeneratedProtocolMessageType(
+    "Image",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_IMAGE,
+        __module__="google.cloud.automl_v1beta1.proto.data_items_pb2",
+        __doc__="""A representation of an image.
   
   
   Attributes:
@@ -204,15 +308,18 @@
       thumbnail_uri:
           Output only. HTTP URI to the thumbnail image.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Image)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Image)
+    ),
+)
 _sym_db.RegisterMessage(Image)
 
-TextSnippet = _reflection.GeneratedProtocolMessageType('TextSnippet', (_message.Message,), dict(
-  DESCRIPTOR = _TEXTSNIPPET,
-  __module__ = 'google.cloud.automl_v1beta1.proto.data_items_pb2'
-  ,
-  __doc__ = """A representation of a text snippet.
+TextSnippet = _reflection.GeneratedProtocolMessageType(
+    "TextSnippet",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TEXTSNIPPET,
+        __module__="google.cloud.automl_v1beta1.proto.data_items_pb2",
+        __doc__="""A representation of a text snippet.
   
   
   Attributes:
@@ -227,15 +334,18 @@
       content_uri:
           Output only. HTTP URI where you can download the content.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSnippet)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSnippet)
+    ),
+)
 _sym_db.RegisterMessage(TextSnippet)
 
-ExamplePayload = _reflection.GeneratedProtocolMessageType('ExamplePayload', (_message.Message,), dict(
-  DESCRIPTOR = _EXAMPLEPAYLOAD,
-  __module__ = 'google.cloud.automl_v1beta1.proto.data_items_pb2'
-  ,
-  __doc__ = """Example data used for training or prediction.
+ExamplePayload = _reflection.GeneratedProtocolMessageType(
+    "ExamplePayload",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_EXAMPLEPAYLOAD,
+        __module__="google.cloud.automl_v1beta1.proto.data_items_pb2",
+        __doc__="""Example data used for training or prediction.
   
   
   Attributes:
@@ -246,11 +356,17 @@
       text_snippet:
           Example text.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExamplePayload)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExamplePayload)
+    ),
+)
 _sym_db.RegisterMessage(ExamplePayload)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/data_items_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2.py
index bdf0fd760dfd..3b81d270de56 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2.py
@@ -2,133 +2,257 @@
 # source: google/cloud/automl_v1beta1/proto/dataset.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2
-from google.cloud.automl_v1beta1.proto import data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2
-from google.cloud.automl_v1beta1.proto import image_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2
-from google.cloud.automl_v1beta1.proto import text_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2
-from google.cloud.automl_v1beta1.proto import translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2
+from google.cloud.automl_v1beta1.proto import (
+    annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    image_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    text_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2,
+)
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/dataset.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n/google/cloud/automl_v1beta1/proto/dataset.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\x1a-google/cloud/automl_v1beta1/proto/image.proto\x1a,google/cloud/automl_v1beta1/proto/text.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xcc\x03\n\x07\x44\x61taset\x12_\n\x1ctranslation_dataset_metadata\x18\x17 \x01(\x0b\x32\x37.google.cloud.automl.v1beta1.TranslationDatasetMetadataH\x00\x12p\n%image_classification_dataset_metadata\x18\x18 \x01(\x0b\x32?.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataH\x00\x12n\n$text_classification_dataset_metadata\x18\x19 \x01(\x0b\x32>.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x15\n\rexample_count\x18\x15 \x01(\x05\x12/\n\x0b\x63reate_time\x18\x0e \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x12\n\x10\x64\x61taset_metadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/dataset.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n/google/cloud/automl_v1beta1/proto/dataset.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\x1a-google/cloud/automl_v1beta1/proto/image.proto\x1a,google/cloud/automl_v1beta1/proto/text.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto"\xcc\x03\n\x07\x44\x61taset\x12_\n\x1ctranslation_dataset_metadata\x18\x17 \x01(\x0b\x32\x37.google.cloud.automl.v1beta1.TranslationDatasetMetadataH\x00\x12p\n%image_classification_dataset_metadata\x18\x18 \x01(\x0b\x32?.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadataH\x00\x12n\n$text_classification_dataset_metadata\x18\x19 \x01(\x0b\x32>.google.cloud.automl.v1beta1.TextClassificationDatasetMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x15\n\rexample_count\x18\x15 \x01(\x05\x12/\n\x0b\x63reate_time\x18\x0e \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x12\n\x10\x64\x61taset_metadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _DATASET = _descriptor.Descriptor(
-  name='Dataset',
-  full_name='google.cloud.automl.v1beta1.Dataset',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='translation_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.translation_dataset_metadata', index=0,
-      number=23, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='image_classification_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.image_classification_dataset_metadata', index=1,
-      number=24, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='text_classification_dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.text_classification_dataset_metadata', index=2,
-      number=25, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.Dataset.name', index=3,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='display_name', full_name='google.cloud.automl.v1beta1.Dataset.display_name', index=4,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='example_count', full_name='google.cloud.automl.v1beta1.Dataset.example_count', index=5,
-      number=21, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='create_time', full_name='google.cloud.automl.v1beta1.Dataset.create_time', index=6,
-      number=14, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='dataset_metadata', full_name='google.cloud.automl.v1beta1.Dataset.dataset_metadata',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=402,
-  serialized_end=862,
+    name="Dataset",
+    full_name="google.cloud.automl.v1beta1.Dataset",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="translation_dataset_metadata",
+            full_name="google.cloud.automl.v1beta1.Dataset.translation_dataset_metadata",
+            index=0,
+            number=23,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="image_classification_dataset_metadata",
+            full_name="google.cloud.automl.v1beta1.Dataset.image_classification_dataset_metadata",
+            index=1,
+            number=24,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="text_classification_dataset_metadata",
+            full_name="google.cloud.automl.v1beta1.Dataset.text_classification_dataset_metadata",
+            index=2,
+            number=25,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.Dataset.name",
+            index=3,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="display_name",
+            full_name="google.cloud.automl.v1beta1.Dataset.display_name",
+            index=4,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="example_count",
+            full_name="google.cloud.automl.v1beta1.Dataset.example_count",
+            index=5,
+            number=21,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="create_time",
+            full_name="google.cloud.automl.v1beta1.Dataset.create_time",
+            index=6,
+            number=14,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="dataset_metadata",
+            full_name="google.cloud.automl.v1beta1.Dataset.dataset_metadata",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=402,
+    serialized_end=862,
 )
 
-_DATASET.fields_by_name['translation_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONDATASETMETADATA
-_DATASET.fields_by_name['image_classification_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2._IMAGECLASSIFICATIONDATASETMETADATA
-_DATASET.fields_by_name['text_classification_dataset_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2._TEXTCLASSIFICATIONDATASETMETADATA
-_DATASET.fields_by_name['create_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
-  _DATASET.fields_by_name['translation_dataset_metadata'])
-_DATASET.fields_by_name['translation_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
-_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
-  _DATASET.fields_by_name['image_classification_dataset_metadata'])
-_DATASET.fields_by_name['image_classification_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
-_DATASET.oneofs_by_name['dataset_metadata'].fields.append(
-  _DATASET.fields_by_name['text_classification_dataset_metadata'])
-_DATASET.fields_by_name['text_classification_dataset_metadata'].containing_oneof = _DATASET.oneofs_by_name['dataset_metadata']
-DESCRIPTOR.message_types_by_name['Dataset'] = _DATASET
+_DATASET.fields_by_name[
+    "translation_dataset_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONDATASETMETADATA
+)
+_DATASET.fields_by_name[
+    "image_classification_dataset_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2._IMAGECLASSIFICATIONDATASETMETADATA
+)
+_DATASET.fields_by_name[
+    "text_classification_dataset_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2._TEXTCLASSIFICATIONDATASETMETADATA
+)
+_DATASET.fields_by_name[
+    "create_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_DATASET.oneofs_by_name["dataset_metadata"].fields.append(
+    _DATASET.fields_by_name["translation_dataset_metadata"]
+)
+_DATASET.fields_by_name[
+    "translation_dataset_metadata"
+].containing_oneof = _DATASET.oneofs_by_name["dataset_metadata"]
+_DATASET.oneofs_by_name["dataset_metadata"].fields.append(
+    _DATASET.fields_by_name["image_classification_dataset_metadata"]
+)
+_DATASET.fields_by_name[
+    "image_classification_dataset_metadata"
+].containing_oneof = _DATASET.oneofs_by_name["dataset_metadata"]
+_DATASET.oneofs_by_name["dataset_metadata"].fields.append(
+    _DATASET.fields_by_name["text_classification_dataset_metadata"]
+)
+_DATASET.fields_by_name[
+    "text_classification_dataset_metadata"
+].containing_oneof = _DATASET.oneofs_by_name["dataset_metadata"]
+DESCRIPTOR.message_types_by_name["Dataset"] = _DATASET
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-Dataset = _reflection.GeneratedProtocolMessageType('Dataset', (_message.Message,), dict(
-  DESCRIPTOR = _DATASET,
-  __module__ = 'google.cloud.automl_v1beta1.proto.dataset_pb2'
-  ,
-  __doc__ = """A workspace for solving a single, particular machine learning (ML)
+Dataset = _reflection.GeneratedProtocolMessageType(
+    "Dataset",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_DATASET,
+        __module__="google.cloud.automl_v1beta1.proto.dataset_pb2",
+        __doc__="""A workspace for solving a single, particular machine learning (ML)
   problem. A workspace contains examples that may be annotated.
   
   
@@ -155,11 +279,17 @@
       create_time:
           Output only. Timestamp when this dataset was created.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Dataset)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Dataset)
+    ),
+)
 _sym_db.RegisterMessage(Dataset)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/dataset_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2.py
index 1f87ecf61b35..c2bf200ed948 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2.py
@@ -2,140 +2,210 @@
 # source: google/cloud/automl_v1beta1/proto/image.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2
+from google.cloud.automl_v1beta1.proto import (
+    classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2,
+)
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/image.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n-google/cloud/automl_v1beta1/proto/image.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"r\n\"ImageClassificationDatasetMetadata\x12L\n\x13\x63lassification_type\x18\x01 \x01(\x0e\x32/.google.cloud.automl.v1beta1.ClassificationType\"x\n ImageClassificationModelMetadata\x12\x15\n\rbase_model_id\x18\x01 \x01(\t\x12\x14\n\x0ctrain_budget\x18\x02 \x01(\x03\x12\x12\n\ntrain_cost\x18\x03 \x01(\x03\x12\x13\n\x0bstop_reason\x18\x05 \x01(\tBr\n\x1f\x63om.google.cloud.automl.v1beta1B\nImageProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/image.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n-google/cloud/automl_v1beta1/proto/image.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x1fgoogle/protobuf/timestamp.proto"r\n"ImageClassificationDatasetMetadata\x12L\n\x13\x63lassification_type\x18\x01 \x01(\x0e\x32/.google.cloud.automl.v1beta1.ClassificationType"x\n ImageClassificationModelMetadata\x12\x15\n\rbase_model_id\x18\x01 \x01(\t\x12\x14\n\x0ctrain_budget\x18\x02 \x01(\x03\x12\x12\n\ntrain_cost\x18\x03 \x01(\x03\x12\x13\n\x0bstop_reason\x18\x05 \x01(\tBr\n\x1f\x63om.google.cloud.automl.v1beta1B\nImageProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _IMAGECLASSIFICATIONDATASETMETADATA = _descriptor.Descriptor(
-  name='ImageClassificationDatasetMetadata',
-  full_name='google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='classification_type', full_name='google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.classification_type', index=0,
-      number=1, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=197,
-  serialized_end=311,
+    name="ImageClassificationDatasetMetadata",
+    full_name="google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="classification_type",
+            full_name="google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.classification_type",
+            index=0,
+            number=1,
+            type=14,
+            cpp_type=8,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=197,
+    serialized_end=311,
 )
 
 
 _IMAGECLASSIFICATIONMODELMETADATA = _descriptor.Descriptor(
-  name='ImageClassificationModelMetadata',
-  full_name='google.cloud.automl.v1beta1.ImageClassificationModelMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='base_model_id', full_name='google.cloud.automl.v1beta1.ImageClassificationModelMetadata.base_model_id', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='train_budget', full_name='google.cloud.automl.v1beta1.ImageClassificationModelMetadata.train_budget', index=1,
-      number=2, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='train_cost', full_name='google.cloud.automl.v1beta1.ImageClassificationModelMetadata.train_cost', index=2,
-      number=3, type=3, cpp_type=2, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='stop_reason', full_name='google.cloud.automl.v1beta1.ImageClassificationModelMetadata.stop_reason', index=3,
-      number=5, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=313,
-  serialized_end=433,
+    name="ImageClassificationModelMetadata",
+    full_name="google.cloud.automl.v1beta1.ImageClassificationModelMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="base_model_id",
+            full_name="google.cloud.automl.v1beta1.ImageClassificationModelMetadata.base_model_id",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="train_budget",
+            full_name="google.cloud.automl.v1beta1.ImageClassificationModelMetadata.train_budget",
+            index=1,
+            number=2,
+            type=3,
+            cpp_type=2,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="train_cost",
+            full_name="google.cloud.automl.v1beta1.ImageClassificationModelMetadata.train_cost",
+            index=2,
+            number=3,
+            type=3,
+            cpp_type=2,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="stop_reason",
+            full_name="google.cloud.automl.v1beta1.ImageClassificationModelMetadata.stop_reason",
+            index=3,
+            number=5,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=313,
+    serialized_end=433,
 )
 
-_IMAGECLASSIFICATIONDATASETMETADATA.fields_by_name['classification_type'].enum_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONTYPE
-DESCRIPTOR.message_types_by_name['ImageClassificationDatasetMetadata'] = _IMAGECLASSIFICATIONDATASETMETADATA
-DESCRIPTOR.message_types_by_name['ImageClassificationModelMetadata'] = _IMAGECLASSIFICATIONMODELMETADATA
+_IMAGECLASSIFICATIONDATASETMETADATA.fields_by_name[
+    "classification_type"
+].enum_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONTYPE
+)
+DESCRIPTOR.message_types_by_name[
+    "ImageClassificationDatasetMetadata"
+] = _IMAGECLASSIFICATIONDATASETMETADATA
+DESCRIPTOR.message_types_by_name[
+    "ImageClassificationModelMetadata"
+] = _IMAGECLASSIFICATIONMODELMETADATA
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-ImageClassificationDatasetMetadata = _reflection.GeneratedProtocolMessageType('ImageClassificationDatasetMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _IMAGECLASSIFICATIONDATASETMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.image_pb2'
-  ,
-  __doc__ = """Dataset metadata that is specific to image classification.
+ImageClassificationDatasetMetadata = _reflection.GeneratedProtocolMessageType(
+    "ImageClassificationDatasetMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_IMAGECLASSIFICATIONDATASETMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.image_pb2",
+        __doc__="""Dataset metadata that is specific to image classification.
   
   
   Attributes:
       classification_type:
           Required. Type of the classification problem.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata)
+    ),
+)
 _sym_db.RegisterMessage(ImageClassificationDatasetMetadata)
 
-ImageClassificationModelMetadata = _reflection.GeneratedProtocolMessageType('ImageClassificationModelMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _IMAGECLASSIFICATIONMODELMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.image_pb2'
-  ,
-  __doc__ = """Model metadata for image classification.
+ImageClassificationModelMetadata = _reflection.GeneratedProtocolMessageType(
+    "ImageClassificationModelMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_IMAGECLASSIFICATIONMODELMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.image_pb2",
+        __doc__="""Model metadata for image classification.
   
   
   Attributes:
@@ -156,11 +226,17 @@
           Output only. The reason that this create model operation
           stopped, e.g. BUDGET\_REACHED, CONVERGED.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
+    ),
+)
 _sym_db.RegisterMessage(ImageClassificationModelMetadata)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\nImageProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\nImageProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/image_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2.py
index 82813fba85fd..6f62d361c059 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2.py
@@ -2,12 +2,14 @@
 # source: google/cloud/automl_v1beta1/proto/io.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
@@ -17,164 +19,214 @@
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/io.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n*google/cloud/automl_v1beta1/proto/io.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\"U\n\x0bInputConfig\x12<\n\ngcs_source\x18\x01 \x01(\x0b\x32&.google.cloud.automl.v1beta1.GcsSourceH\x00\x42\x08\n\x06source\"e\n\x0cOutputConfig\x12\x46\n\x0fgcs_destination\x18\x01 \x01(\x0b\x32+.google.cloud.automl.v1beta1.GcsDestinationH\x00\x42\r\n\x0b\x64\x65stination\"\x1f\n\tGcsSource\x12\x12\n\ninput_uris\x18\x01 \x03(\t\"+\n\x0eGcsDestination\x12\x19\n\x11output_uri_prefix\x18\x01 \x01(\tBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/io.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n*google/cloud/automl_v1beta1/proto/io.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto"U\n\x0bInputConfig\x12<\n\ngcs_source\x18\x01 \x01(\x0b\x32&.google.cloud.automl.v1beta1.GcsSourceH\x00\x42\x08\n\x06source"e\n\x0cOutputConfig\x12\x46\n\x0fgcs_destination\x18\x01 \x01(\x0b\x32+.google.cloud.automl.v1beta1.GcsDestinationH\x00\x42\r\n\x0b\x64\x65stination"\x1f\n\tGcsSource\x12\x12\n\ninput_uris\x18\x01 \x03(\t"+\n\x0eGcsDestination\x12\x19\n\x11output_uri_prefix\x18\x01 \x01(\tBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR],
+)
 
 
 _INPUTCONFIG = _descriptor.Descriptor(
-  name='InputConfig',
-  full_name='google.cloud.automl.v1beta1.InputConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='gcs_source', full_name='google.cloud.automl.v1beta1.InputConfig.gcs_source', index=0,
-      number=1, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='source', full_name='google.cloud.automl.v1beta1.InputConfig.source',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=105,
-  serialized_end=190,
+    name="InputConfig",
+    full_name="google.cloud.automl.v1beta1.InputConfig",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="gcs_source",
+            full_name="google.cloud.automl.v1beta1.InputConfig.gcs_source",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="source",
+            full_name="google.cloud.automl.v1beta1.InputConfig.source",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=105,
+    serialized_end=190,
 )
 
 
 _OUTPUTCONFIG = _descriptor.Descriptor(
-  name='OutputConfig',
-  full_name='google.cloud.automl.v1beta1.OutputConfig',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='gcs_destination', full_name='google.cloud.automl.v1beta1.OutputConfig.gcs_destination', index=0,
-      number=1, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='destination', full_name='google.cloud.automl.v1beta1.OutputConfig.destination',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=192,
-  serialized_end=293,
+    name="OutputConfig",
+    full_name="google.cloud.automl.v1beta1.OutputConfig",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="gcs_destination",
+            full_name="google.cloud.automl.v1beta1.OutputConfig.gcs_destination",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="destination",
+            full_name="google.cloud.automl.v1beta1.OutputConfig.destination",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=192,
+    serialized_end=293,
 )
 
 
 _GCSSOURCE = _descriptor.Descriptor(
-  name='GcsSource',
-  full_name='google.cloud.automl.v1beta1.GcsSource',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='input_uris', full_name='google.cloud.automl.v1beta1.GcsSource.input_uris', index=0,
-      number=1, type=9, cpp_type=9, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=295,
-  serialized_end=326,
+    name="GcsSource",
+    full_name="google.cloud.automl.v1beta1.GcsSource",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="input_uris",
+            full_name="google.cloud.automl.v1beta1.GcsSource.input_uris",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=295,
+    serialized_end=326,
 )
 
 
 _GCSDESTINATION = _descriptor.Descriptor(
-  name='GcsDestination',
-  full_name='google.cloud.automl.v1beta1.GcsDestination',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='output_uri_prefix', full_name='google.cloud.automl.v1beta1.GcsDestination.output_uri_prefix', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=328,
-  serialized_end=371,
+    name="GcsDestination",
+    full_name="google.cloud.automl.v1beta1.GcsDestination",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="output_uri_prefix",
+            full_name="google.cloud.automl.v1beta1.GcsDestination.output_uri_prefix",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=328,
+    serialized_end=371,
 )
 
-_INPUTCONFIG.fields_by_name['gcs_source'].message_type = _GCSSOURCE
-_INPUTCONFIG.oneofs_by_name['source'].fields.append(
-  _INPUTCONFIG.fields_by_name['gcs_source'])
-_INPUTCONFIG.fields_by_name['gcs_source'].containing_oneof = _INPUTCONFIG.oneofs_by_name['source']
-_OUTPUTCONFIG.fields_by_name['gcs_destination'].message_type = _GCSDESTINATION
-_OUTPUTCONFIG.oneofs_by_name['destination'].fields.append(
-  _OUTPUTCONFIG.fields_by_name['gcs_destination'])
-_OUTPUTCONFIG.fields_by_name['gcs_destination'].containing_oneof = _OUTPUTCONFIG.oneofs_by_name['destination']
-DESCRIPTOR.message_types_by_name['InputConfig'] = _INPUTCONFIG
-DESCRIPTOR.message_types_by_name['OutputConfig'] = _OUTPUTCONFIG
-DESCRIPTOR.message_types_by_name['GcsSource'] = _GCSSOURCE
-DESCRIPTOR.message_types_by_name['GcsDestination'] = _GCSDESTINATION
+_INPUTCONFIG.fields_by_name["gcs_source"].message_type = _GCSSOURCE
+_INPUTCONFIG.oneofs_by_name["source"].fields.append(
+    _INPUTCONFIG.fields_by_name["gcs_source"]
+)
+_INPUTCONFIG.fields_by_name[
+    "gcs_source"
+].containing_oneof = _INPUTCONFIG.oneofs_by_name["source"]
+_OUTPUTCONFIG.fields_by_name["gcs_destination"].message_type = _GCSDESTINATION
+_OUTPUTCONFIG.oneofs_by_name["destination"].fields.append(
+    _OUTPUTCONFIG.fields_by_name["gcs_destination"]
+)
+_OUTPUTCONFIG.fields_by_name[
+    "gcs_destination"
+].containing_oneof = _OUTPUTCONFIG.oneofs_by_name["destination"]
+DESCRIPTOR.message_types_by_name["InputConfig"] = _INPUTCONFIG
+DESCRIPTOR.message_types_by_name["OutputConfig"] = _OUTPUTCONFIG
+DESCRIPTOR.message_types_by_name["GcsSource"] = _GCSSOURCE
+DESCRIPTOR.message_types_by_name["GcsDestination"] = _GCSDESTINATION
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-InputConfig = _reflection.GeneratedProtocolMessageType('InputConfig', (_message.Message,), dict(
-  DESCRIPTOR = _INPUTCONFIG,
-  __module__ = 'google.cloud.automl_v1beta1.proto.io_pb2'
-  ,
-  __doc__ = """Input configuration.
+InputConfig = _reflection.GeneratedProtocolMessageType(
+    "InputConfig",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_INPUTCONFIG,
+        __module__="google.cloud.automl_v1beta1.proto.io_pb2",
+        __doc__="""Input configuration.
   
   
   Attributes:
@@ -183,15 +235,18 @@
       gcs_source:
           The GCS location for the input content.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.InputConfig)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.InputConfig)
+    ),
+)
 _sym_db.RegisterMessage(InputConfig)
 
-OutputConfig = _reflection.GeneratedProtocolMessageType('OutputConfig', (_message.Message,), dict(
-  DESCRIPTOR = _OUTPUTCONFIG,
-  __module__ = 'google.cloud.automl_v1beta1.proto.io_pb2'
-  ,
-  __doc__ = """Output configuration.
+OutputConfig = _reflection.GeneratedProtocolMessageType(
+    "OutputConfig",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_OUTPUTCONFIG,
+        __module__="google.cloud.automl_v1beta1.proto.io_pb2",
+        __doc__="""Output configuration.
   
   
   Attributes:
@@ -200,15 +255,18 @@
       gcs_destination:
           The GCS location where the output must be written to.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OutputConfig)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OutputConfig)
+    ),
+)
 _sym_db.RegisterMessage(OutputConfig)
 
-GcsSource = _reflection.GeneratedProtocolMessageType('GcsSource', (_message.Message,), dict(
-  DESCRIPTOR = _GCSSOURCE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.io_pb2'
-  ,
-  __doc__ = """The GCS location for the input content.
+GcsSource = _reflection.GeneratedProtocolMessageType(
+    "GcsSource",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_GCSSOURCE,
+        __module__="google.cloud.automl_v1beta1.proto.io_pb2",
+        __doc__="""The GCS location for the input content.
   
   
   Attributes:
@@ -217,15 +275,18 @@
           characters long. Accepted forms: \* Full object path:
           gs://bucket/directory/object.csv
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsSource)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsSource)
+    ),
+)
 _sym_db.RegisterMessage(GcsSource)
 
-GcsDestination = _reflection.GeneratedProtocolMessageType('GcsDestination', (_message.Message,), dict(
-  DESCRIPTOR = _GCSDESTINATION,
-  __module__ = 'google.cloud.automl_v1beta1.proto.io_pb2'
-  ,
-  __doc__ = """The GCS location where the output must be written to
+GcsDestination = _reflection.GeneratedProtocolMessageType(
+    "GcsDestination",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_GCSDESTINATION,
+        __module__="google.cloud.automl_v1beta1.proto.io_pb2",
+        __doc__="""The GCS location where the output must be written to
   
   
   Attributes:
@@ -236,11 +297,17 @@
           permission to the bucket. The directory is created if it
           doesn't exist.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsDestination)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GcsDestination)
+    ),
+)
 _sym_db.RegisterMessage(GcsDestination)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/io_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2.py
index 49b1144aa8ff..6654cc28ef1a 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2.py
@@ -2,119 +2,216 @@
 # source: google/cloud/automl_v1beta1/proto/model_evaluation.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2
-from google.cloud.automl_v1beta1.proto import translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2
+from google.cloud.automl_v1beta1.proto import (
+    classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2,
+)
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/model_evaluation.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n8google/cloud/automl_v1beta1/proto/model_evaluation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xe8\x02\n\x0fModelEvaluation\x12i\n!classification_evaluation_metrics\x18\x08 \x01(\x0b\x32<.google.cloud.automl.v1beta1.ClassificationEvaluationMetricsH\x00\x12\x63\n\x1etranslation_evaluation_metrics\x18\t \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.TranslationEvaluationMetricsH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1a\n\x12\x61nnotation_spec_id\x18\x02 \x01(\t\x12/\n\x0b\x63reate_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x1f\n\x17\x65valuated_example_count\x18\x06 \x01(\x05\x42\t\n\x07metricsBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/model_evaluation.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n8google/cloud/automl_v1beta1/proto/model_evaluation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto"\xe8\x02\n\x0fModelEvaluation\x12i\n!classification_evaluation_metrics\x18\x08 \x01(\x0b\x32<.google.cloud.automl.v1beta1.ClassificationEvaluationMetricsH\x00\x12\x63\n\x1etranslation_evaluation_metrics\x18\t \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.TranslationEvaluationMetricsH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1a\n\x12\x61nnotation_spec_id\x18\x02 \x01(\t\x12/\n\x0b\x63reate_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x1f\n\x17\x65valuated_example_count\x18\x06 \x01(\x05\x42\t\n\x07metricsBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _MODELEVALUATION = _descriptor.Descriptor(
-  name='ModelEvaluation',
-  full_name='google.cloud.automl.v1beta1.ModelEvaluation',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='classification_evaluation_metrics', full_name='google.cloud.automl.v1beta1.ModelEvaluation.classification_evaluation_metrics', index=0,
-      number=8, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='translation_evaluation_metrics', full_name='google.cloud.automl.v1beta1.ModelEvaluation.translation_evaluation_metrics', index=1,
-      number=9, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.ModelEvaluation.name', index=2,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='annotation_spec_id', full_name='google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id', index=3,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='create_time', full_name='google.cloud.automl.v1beta1.ModelEvaluation.create_time', index=4,
-      number=5, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='evaluated_example_count', full_name='google.cloud.automl.v1beta1.ModelEvaluation.evaluated_example_count', index=5,
-      number=6, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='metrics', full_name='google.cloud.automl.v1beta1.ModelEvaluation.metrics',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=262,
-  serialized_end=622,
+    name="ModelEvaluation",
+    full_name="google.cloud.automl.v1beta1.ModelEvaluation",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="classification_evaluation_metrics",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.classification_evaluation_metrics",
+            index=0,
+            number=8,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="translation_evaluation_metrics",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.translation_evaluation_metrics",
+            index=1,
+            number=9,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.name",
+            index=2,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="annotation_spec_id",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.annotation_spec_id",
+            index=3,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="create_time",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.create_time",
+            index=4,
+            number=5,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="evaluated_example_count",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.evaluated_example_count",
+            index=5,
+            number=6,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="metrics",
+            full_name="google.cloud.automl.v1beta1.ModelEvaluation.metrics",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=262,
+    serialized_end=622,
 )
 
-_MODELEVALUATION.fields_by_name['classification_evaluation_metrics'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONEVALUATIONMETRICS
-_MODELEVALUATION.fields_by_name['translation_evaluation_metrics'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONEVALUATIONMETRICS
-_MODELEVALUATION.fields_by_name['create_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_MODELEVALUATION.oneofs_by_name['metrics'].fields.append(
-  _MODELEVALUATION.fields_by_name['classification_evaluation_metrics'])
-_MODELEVALUATION.fields_by_name['classification_evaluation_metrics'].containing_oneof = _MODELEVALUATION.oneofs_by_name['metrics']
-_MODELEVALUATION.oneofs_by_name['metrics'].fields.append(
-  _MODELEVALUATION.fields_by_name['translation_evaluation_metrics'])
-_MODELEVALUATION.fields_by_name['translation_evaluation_metrics'].containing_oneof = _MODELEVALUATION.oneofs_by_name['metrics']
-DESCRIPTOR.message_types_by_name['ModelEvaluation'] = _MODELEVALUATION
+_MODELEVALUATION.fields_by_name[
+    "classification_evaluation_metrics"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONEVALUATIONMETRICS
+)
+_MODELEVALUATION.fields_by_name[
+    "translation_evaluation_metrics"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONEVALUATIONMETRICS
+)
+_MODELEVALUATION.fields_by_name[
+    "create_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_MODELEVALUATION.oneofs_by_name["metrics"].fields.append(
+    _MODELEVALUATION.fields_by_name["classification_evaluation_metrics"]
+)
+_MODELEVALUATION.fields_by_name[
+    "classification_evaluation_metrics"
+].containing_oneof = _MODELEVALUATION.oneofs_by_name["metrics"]
+_MODELEVALUATION.oneofs_by_name["metrics"].fields.append(
+    _MODELEVALUATION.fields_by_name["translation_evaluation_metrics"]
+)
+_MODELEVALUATION.fields_by_name[
+    "translation_evaluation_metrics"
+].containing_oneof = _MODELEVALUATION.oneofs_by_name["metrics"]
+DESCRIPTOR.message_types_by_name["ModelEvaluation"] = _MODELEVALUATION
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-ModelEvaluation = _reflection.GeneratedProtocolMessageType('ModelEvaluation', (_message.Message,), dict(
-  DESCRIPTOR = _MODELEVALUATION,
-  __module__ = 'google.cloud.automl_v1beta1.proto.model_evaluation_pb2'
-  ,
-  __doc__ = """Evaluation results of a model.
+ModelEvaluation = _reflection.GeneratedProtocolMessageType(
+    "ModelEvaluation",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_MODELEVALUATION,
+        __module__="google.cloud.automl_v1beta1.proto.model_evaluation_pb2",
+        __doc__="""Evaluation results of a model.
   
   
   Attributes:
@@ -140,11 +237,17 @@
       evaluated_example_count:
           Output only. The number of examples used for model evaluation.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelEvaluation)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ModelEvaluation)
+    ),
+)
 _sym_db.RegisterMessage(ModelEvaluation)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_evaluation_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2.py
index 24c2d96b6797..ca4006e3ab75 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2.py
@@ -2,175 +2,318 @@
 # source: google/cloud/automl_v1beta1/proto/model.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import image_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2
-from google.cloud.automl_v1beta1.proto import text_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2
-from google.cloud.automl_v1beta1.proto import translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2
+from google.cloud.automl_v1beta1.proto import (
+    image_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    text_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    translation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2,
+)
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/model.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n-google/cloud/automl_v1beta1/proto/model.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a-google/cloud/automl_v1beta1/proto/image.proto\x1a,google/cloud/automl_v1beta1/proto/text.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\x8b\x05\n\x05Model\x12l\n#image_classification_model_metadata\x18\r \x01(\x0b\x32=.google.cloud.automl.v1beta1.ImageClassificationModelMetadataH\x00\x12j\n\"text_classification_model_metadata\x18\x0e \x01(\x0b\x32<.google.cloud.automl.v1beta1.TextClassificationModelMetadataH\x00\x12[\n\x1atranslation_model_metadata\x18\x0f \x01(\x0b\x32\x35.google.cloud.automl.v1beta1.TranslationModelMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x12\n\ndataset_id\x18\x03 \x01(\t\x12/\n\x0b\x63reate_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12/\n\x0bupdate_time\x18\x0b \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12L\n\x10\x64\x65ployment_state\x18\x08 \x01(\x0e\x32\x32.google.cloud.automl.v1beta1.Model.DeploymentState\"Q\n\x0f\x44\x65ploymentState\x12 \n\x1c\x44\x45PLOYMENT_STATE_UNSPECIFIED\x10\x00\x12\x0c\n\x08\x44\x45PLOYED\x10\x01\x12\x0e\n\nUNDEPLOYED\x10\x02\x42\x10\n\x0emodel_metadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,])
-
+    name="google/cloud/automl_v1beta1/proto/model.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n-google/cloud/automl_v1beta1/proto/model.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a-google/cloud/automl_v1beta1/proto/image.proto\x1a,google/cloud/automl_v1beta1/proto/text.proto\x1a\x33google/cloud/automl_v1beta1/proto/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto"\x8b\x05\n\x05Model\x12l\n#image_classification_model_metadata\x18\r \x01(\x0b\x32=.google.cloud.automl.v1beta1.ImageClassificationModelMetadataH\x00\x12j\n"text_classification_model_metadata\x18\x0e \x01(\x0b\x32<.google.cloud.automl.v1beta1.TextClassificationModelMetadataH\x00\x12[\n\x1atranslation_model_metadata\x18\x0f \x01(\x0b\x32\x35.google.cloud.automl.v1beta1.TranslationModelMetadataH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x02 \x01(\t\x12\x12\n\ndataset_id\x18\x03 \x01(\t\x12/\n\x0b\x63reate_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12/\n\x0bupdate_time\x18\x0b \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12L\n\x10\x64\x65ployment_state\x18\x08 \x01(\x0e\x32\x32.google.cloud.automl.v1beta1.Model.DeploymentState"Q\n\x0f\x44\x65ploymentState\x12 \n\x1c\x44\x45PLOYMENT_STATE_UNSPECIFIED\x10\x00\x12\x0c\n\x08\x44\x45PLOYED\x10\x01\x12\x0e\n\nUNDEPLOYED\x10\x02\x42\x10\n\x0emodel_metadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _MODEL_DEPLOYMENTSTATE = _descriptor.EnumDescriptor(
-  name='DeploymentState',
-  full_name='google.cloud.automl.v1beta1.Model.DeploymentState',
-  filename=None,
-  file=DESCRIPTOR,
-  values=[
-    _descriptor.EnumValueDescriptor(
-      name='DEPLOYMENT_STATE_UNSPECIFIED', index=0, number=0,
-      options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='DEPLOYED', index=1, number=1,
-      options=None,
-      type=None),
-    _descriptor.EnumValueDescriptor(
-      name='UNDEPLOYED', index=2, number=2,
-      options=None,
-      type=None),
-  ],
-  containing_type=None,
-  options=None,
-  serialized_start=840,
-  serialized_end=921,
+    name="DeploymentState",
+    full_name="google.cloud.automl.v1beta1.Model.DeploymentState",
+    filename=None,
+    file=DESCRIPTOR,
+    values=[
+        _descriptor.EnumValueDescriptor(
+            name="DEPLOYMENT_STATE_UNSPECIFIED",
+            index=0,
+            number=0,
+            options=None,
+            type=None,
+        ),
+        _descriptor.EnumValueDescriptor(
+            name="DEPLOYED", index=1, number=1, options=None, type=None
+        ),
+        _descriptor.EnumValueDescriptor(
+            name="UNDEPLOYED", index=2, number=2, options=None, type=None
+        ),
+    ],
+    containing_type=None,
+    options=None,
+    serialized_start=840,
+    serialized_end=921,
 )
 _sym_db.RegisterEnumDescriptor(_MODEL_DEPLOYMENTSTATE)
 
 
 _MODEL = _descriptor.Descriptor(
-  name='Model',
-  full_name='google.cloud.automl.v1beta1.Model',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='image_classification_model_metadata', full_name='google.cloud.automl.v1beta1.Model.image_classification_model_metadata', index=0,
-      number=13, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='text_classification_model_metadata', full_name='google.cloud.automl.v1beta1.Model.text_classification_model_metadata', index=1,
-      number=14, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='translation_model_metadata', full_name='google.cloud.automl.v1beta1.Model.translation_model_metadata', index=2,
-      number=15, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.Model.name', index=3,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='display_name', full_name='google.cloud.automl.v1beta1.Model.display_name', index=4,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='dataset_id', full_name='google.cloud.automl.v1beta1.Model.dataset_id', index=5,
-      number=3, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='create_time', full_name='google.cloud.automl.v1beta1.Model.create_time', index=6,
-      number=7, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='update_time', full_name='google.cloud.automl.v1beta1.Model.update_time', index=7,
-      number=11, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='deployment_state', full_name='google.cloud.automl.v1beta1.Model.deployment_state', index=8,
-      number=8, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-    _MODEL_DEPLOYMENTSTATE,
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='model_metadata', full_name='google.cloud.automl.v1beta1.Model.model_metadata',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=288,
-  serialized_end=939,
+    name="Model",
+    full_name="google.cloud.automl.v1beta1.Model",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="image_classification_model_metadata",
+            full_name="google.cloud.automl.v1beta1.Model.image_classification_model_metadata",
+            index=0,
+            number=13,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="text_classification_model_metadata",
+            full_name="google.cloud.automl.v1beta1.Model.text_classification_model_metadata",
+            index=1,
+            number=14,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="translation_model_metadata",
+            full_name="google.cloud.automl.v1beta1.Model.translation_model_metadata",
+            index=2,
+            number=15,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.Model.name",
+            index=3,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="display_name",
+            full_name="google.cloud.automl.v1beta1.Model.display_name",
+            index=4,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="dataset_id",
+            full_name="google.cloud.automl.v1beta1.Model.dataset_id",
+            index=5,
+            number=3,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="create_time",
+            full_name="google.cloud.automl.v1beta1.Model.create_time",
+            index=6,
+            number=7,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="update_time",
+            full_name="google.cloud.automl.v1beta1.Model.update_time",
+            index=7,
+            number=11,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="deployment_state",
+            full_name="google.cloud.automl.v1beta1.Model.deployment_state",
+            index=8,
+            number=8,
+            type=14,
+            cpp_type=8,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[_MODEL_DEPLOYMENTSTATE],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="model_metadata",
+            full_name="google.cloud.automl.v1beta1.Model.model_metadata",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=288,
+    serialized_end=939,
 )
 
-_MODEL.fields_by_name['image_classification_model_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2._IMAGECLASSIFICATIONMODELMETADATA
-_MODEL.fields_by_name['text_classification_model_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2._TEXTCLASSIFICATIONMODELMETADATA
-_MODEL.fields_by_name['translation_model_metadata'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONMODELMETADATA
-_MODEL.fields_by_name['create_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_MODEL.fields_by_name['update_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_MODEL.fields_by_name['deployment_state'].enum_type = _MODEL_DEPLOYMENTSTATE
+_MODEL.fields_by_name[
+    "image_classification_model_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_image__pb2._IMAGECLASSIFICATIONMODELMETADATA
+)
+_MODEL.fields_by_name[
+    "text_classification_model_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_text__pb2._TEXTCLASSIFICATIONMODELMETADATA
+)
+_MODEL.fields_by_name[
+    "translation_model_metadata"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_translation__pb2._TRANSLATIONMODELMETADATA
+)
+_MODEL.fields_by_name[
+    "create_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_MODEL.fields_by_name[
+    "update_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_MODEL.fields_by_name["deployment_state"].enum_type = _MODEL_DEPLOYMENTSTATE
 _MODEL_DEPLOYMENTSTATE.containing_type = _MODEL
-_MODEL.oneofs_by_name['model_metadata'].fields.append(
-  _MODEL.fields_by_name['image_classification_model_metadata'])
-_MODEL.fields_by_name['image_classification_model_metadata'].containing_oneof = _MODEL.oneofs_by_name['model_metadata']
-_MODEL.oneofs_by_name['model_metadata'].fields.append(
-  _MODEL.fields_by_name['text_classification_model_metadata'])
-_MODEL.fields_by_name['text_classification_model_metadata'].containing_oneof = _MODEL.oneofs_by_name['model_metadata']
-_MODEL.oneofs_by_name['model_metadata'].fields.append(
-  _MODEL.fields_by_name['translation_model_metadata'])
-_MODEL.fields_by_name['translation_model_metadata'].containing_oneof = _MODEL.oneofs_by_name['model_metadata']
-DESCRIPTOR.message_types_by_name['Model'] = _MODEL
+_MODEL.oneofs_by_name["model_metadata"].fields.append(
+    _MODEL.fields_by_name["image_classification_model_metadata"]
+)
+_MODEL.fields_by_name[
+    "image_classification_model_metadata"
+].containing_oneof = _MODEL.oneofs_by_name["model_metadata"]
+_MODEL.oneofs_by_name["model_metadata"].fields.append(
+    _MODEL.fields_by_name["text_classification_model_metadata"]
+)
+_MODEL.fields_by_name[
+    "text_classification_model_metadata"
+].containing_oneof = _MODEL.oneofs_by_name["model_metadata"]
+_MODEL.oneofs_by_name["model_metadata"].fields.append(
+    _MODEL.fields_by_name["translation_model_metadata"]
+)
+_MODEL.fields_by_name[
+    "translation_model_metadata"
+].containing_oneof = _MODEL.oneofs_by_name["model_metadata"]
+DESCRIPTOR.message_types_by_name["Model"] = _MODEL
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-Model = _reflection.GeneratedProtocolMessageType('Model', (_message.Message,), dict(
-  DESCRIPTOR = _MODEL,
-  __module__ = 'google.cloud.automl_v1beta1.proto.model_pb2'
-  ,
-  __doc__ = """API proto representing a trained machine learning model.
+Model = _reflection.GeneratedProtocolMessageType(
+    "Model",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_MODEL,
+        __module__="google.cloud.automl_v1beta1.proto.model_pb2",
+        __doc__="""API proto representing a trained machine learning model.
   
   
   Attributes:
@@ -203,11 +346,17 @@
       deployment_state:
           Output only. Deployment state of the model.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Model)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Model)
+    ),
+)
 _sym_db.RegisterMessage(Model)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/model_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2.py
index 8aef0c4eca81..d202a2fae23e 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2.py
@@ -2,137 +2,218 @@
 # source: google/cloud/automl_v1beta1/proto/operations.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2
-from google.cloud.automl_v1beta1.proto import model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2
+from google.cloud.automl_v1beta1.proto import (
+    model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2,
+)
 from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2
 from google.rpc import status_pb2 as google_dot_rpc_dot_status__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/operations.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n2google/cloud/automl_v1beta1/proto/operations.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a-google/cloud/automl_v1beta1/proto/model.proto\x1a\x38google/cloud/automl_v1beta1/proto/model_evaluation.proto\x1a\x1bgoogle/protobuf/empty.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x17google/rpc/status.proto\"\xa3\x02\n\x11OperationMetadata\x12Y\n\x14\x63reate_model_details\x18\n \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.CreateModelOperationMetadataH\x00\x12\x18\n\x10progress_percent\x18\r \x01(\x05\x12,\n\x10partial_failures\x18\x02 \x03(\x0b\x32\x12.google.rpc.Status\x12/\n\x0b\x63reate_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12/\n\x0bupdate_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\t\n\x07\x64\x65tails\"\x1e\n\x1c\x43reateModelOperationMetadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.DESCRIPTOR,google_dot_protobuf_dot_empty__pb2.DESCRIPTOR,google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,google_dot_rpc_dot_status__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/operations.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n2google/cloud/automl_v1beta1/proto/operations.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a-google/cloud/automl_v1beta1/proto/model.proto\x1a\x38google/cloud/automl_v1beta1/proto/model_evaluation.proto\x1a\x1bgoogle/protobuf/empty.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x17google/rpc/status.proto"\xa3\x02\n\x11OperationMetadata\x12Y\n\x14\x63reate_model_details\x18\n \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.CreateModelOperationMetadataH\x00\x12\x18\n\x10progress_percent\x18\r \x01(\x05\x12,\n\x10partial_failures\x18\x02 \x03(\x0b\x32\x12.google.rpc.Status\x12/\n\x0b\x63reate_time\x18\x03 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12/\n\x0bupdate_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\t\n\x07\x64\x65tails"\x1e\n\x1c\x43reateModelOperationMetadataBf\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_empty__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,
+        google_dot_rpc_dot_status__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _OPERATIONMETADATA = _descriptor.Descriptor(
-  name='OperationMetadata',
-  full_name='google.cloud.automl.v1beta1.OperationMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='create_model_details', full_name='google.cloud.automl.v1beta1.OperationMetadata.create_model_details', index=0,
-      number=10, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='progress_percent', full_name='google.cloud.automl.v1beta1.OperationMetadata.progress_percent', index=1,
-      number=13, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='partial_failures', full_name='google.cloud.automl.v1beta1.OperationMetadata.partial_failures', index=2,
-      number=2, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='create_time', full_name='google.cloud.automl.v1beta1.OperationMetadata.create_time', index=3,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='update_time', full_name='google.cloud.automl.v1beta1.OperationMetadata.update_time', index=4,
-      number=4, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-    _descriptor.OneofDescriptor(
-      name='details', full_name='google.cloud.automl.v1beta1.OperationMetadata.details',
-      index=0, containing_type=None, fields=[]),
-  ],
-  serialized_start=306,
-  serialized_end=597,
+    name="OperationMetadata",
+    full_name="google.cloud.automl.v1beta1.OperationMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="create_model_details",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.create_model_details",
+            index=0,
+            number=10,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="progress_percent",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.progress_percent",
+            index=1,
+            number=13,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="partial_failures",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.partial_failures",
+            index=2,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="create_time",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.create_time",
+            index=3,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="update_time",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.update_time",
+            index=4,
+            number=4,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[
+        _descriptor.OneofDescriptor(
+            name="details",
+            full_name="google.cloud.automl.v1beta1.OperationMetadata.details",
+            index=0,
+            containing_type=None,
+            fields=[],
+        )
+    ],
+    serialized_start=306,
+    serialized_end=597,
 )
 
 
 _CREATEMODELOPERATIONMETADATA = _descriptor.Descriptor(
-  name='CreateModelOperationMetadata',
-  full_name='google.cloud.automl.v1beta1.CreateModelOperationMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=599,
-  serialized_end=629,
+    name="CreateModelOperationMetadata",
+    full_name="google.cloud.automl.v1beta1.CreateModelOperationMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=599,
+    serialized_end=629,
 )
 
-_OPERATIONMETADATA.fields_by_name['create_model_details'].message_type = _CREATEMODELOPERATIONMETADATA
-_OPERATIONMETADATA.fields_by_name['partial_failures'].message_type = google_dot_rpc_dot_status__pb2._STATUS
-_OPERATIONMETADATA.fields_by_name['create_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_OPERATIONMETADATA.fields_by_name['update_time'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
-_OPERATIONMETADATA.oneofs_by_name['details'].fields.append(
-  _OPERATIONMETADATA.fields_by_name['create_model_details'])
-_OPERATIONMETADATA.fields_by_name['create_model_details'].containing_oneof = _OPERATIONMETADATA.oneofs_by_name['details']
-DESCRIPTOR.message_types_by_name['OperationMetadata'] = _OPERATIONMETADATA
-DESCRIPTOR.message_types_by_name['CreateModelOperationMetadata'] = _CREATEMODELOPERATIONMETADATA
+_OPERATIONMETADATA.fields_by_name[
+    "create_model_details"
+].message_type = _CREATEMODELOPERATIONMETADATA
+_OPERATIONMETADATA.fields_by_name[
+    "partial_failures"
+].message_type = google_dot_rpc_dot_status__pb2._STATUS
+_OPERATIONMETADATA.fields_by_name[
+    "create_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_OPERATIONMETADATA.fields_by_name[
+    "update_time"
+].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP
+_OPERATIONMETADATA.oneofs_by_name["details"].fields.append(
+    _OPERATIONMETADATA.fields_by_name["create_model_details"]
+)
+_OPERATIONMETADATA.fields_by_name[
+    "create_model_details"
+].containing_oneof = _OPERATIONMETADATA.oneofs_by_name["details"]
+DESCRIPTOR.message_types_by_name["OperationMetadata"] = _OPERATIONMETADATA
+DESCRIPTOR.message_types_by_name[
+    "CreateModelOperationMetadata"
+] = _CREATEMODELOPERATIONMETADATA
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-OperationMetadata = _reflection.GeneratedProtocolMessageType('OperationMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _OPERATIONMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.operations_pb2'
-  ,
-  __doc__ = """Metadata used across all long running operations returned by AutoML API.
+OperationMetadata = _reflection.GeneratedProtocolMessageType(
+    "OperationMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_OPERATIONMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.operations_pb2",
+        __doc__="""Metadata used across all long running operations returned by AutoML API.
   
   
   Attributes:
@@ -155,21 +236,30 @@
           Output only. Time when the operation was updated for the last
           time.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OperationMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.OperationMetadata)
+    ),
+)
 _sym_db.RegisterMessage(OperationMetadata)
 
-CreateModelOperationMetadata = _reflection.GeneratedProtocolMessageType('CreateModelOperationMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _CREATEMODELOPERATIONMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.operations_pb2'
-  ,
-  __doc__ = """Details of CreateModel operation.
+CreateModelOperationMetadata = _reflection.GeneratedProtocolMessageType(
+    "CreateModelOperationMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_CREATEMODELOPERATIONMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.operations_pb2",
+        __doc__="""Details of CreateModel operation.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelOperationMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelOperationMetadata)
+    ),
+)
 _sym_db.RegisterMessage(CreateModelOperationMetadata)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/operations_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2.py
index 72bc73ca23d8..90ab3a7bc4b4 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2.py
@@ -2,211 +2,322 @@
 # source: google/cloud/automl_v1beta1/proto/prediction_service.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2
-from google.cloud.automl_v1beta1.proto import data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2
+from google.cloud.automl_v1beta1.proto import (
+    annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2,
+)
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/prediction_service.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n:google/cloud/automl_v1beta1/proto/prediction_service.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\"\xd4\x01\n\x0ePredictRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12<\n\x07payload\x18\x02 \x01(\x0b\x32+.google.cloud.automl.v1beta1.ExamplePayload\x12G\n\x06params\x18\x03 \x03(\x0b\x32\x37.google.cloud.automl.v1beta1.PredictRequest.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\xd1\x01\n\x0fPredictResponse\x12?\n\x07payload\x18\x01 \x03(\x0b\x32..google.cloud.automl.v1beta1.AnnotationPayload\x12L\n\x08metadata\x18\x02 \x03(\x0b\x32:.google.cloud.automl.v1beta1.PredictResponse.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x32\xbe\x01\n\x11PredictionService\x12\xa8\x01\n\x07Predict\x12+.google.cloud.automl.v1beta1.PredictRequest\x1a,.google.cloud.automl.v1beta1.PredictResponse\"B\x82\xd3\xe4\x93\x02<\"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\x01*B~\n\x1f\x63om.google.cloud.automl.v1beta1B\x16PredictionServiceProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/prediction_service.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n:google/cloud/automl_v1beta1/proto/prediction_service.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto"\xd4\x01\n\x0ePredictRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12<\n\x07payload\x18\x02 \x01(\x0b\x32+.google.cloud.automl.v1beta1.ExamplePayload\x12G\n\x06params\x18\x03 \x03(\x0b\x32\x37.google.cloud.automl.v1beta1.PredictRequest.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01"\xd1\x01\n\x0fPredictResponse\x12?\n\x07payload\x18\x01 \x03(\x0b\x32..google.cloud.automl.v1beta1.AnnotationPayload\x12L\n\x08metadata\x18\x02 \x03(\x0b\x32:.google.cloud.automl.v1beta1.PredictResponse.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x32\xbe\x01\n\x11PredictionService\x12\xa8\x01\n\x07Predict\x12+.google.cloud.automl.v1beta1.PredictRequest\x1a,.google.cloud.automl.v1beta1.PredictResponse"B\x82\xd3\xe4\x93\x02<"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\x01*B~\n\x1f\x63om.google.cloud.automl.v1beta1B\x16PredictionServiceProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _PREDICTREQUEST_PARAMSENTRY = _descriptor.Descriptor(
-  name='ParamsEntry',
-  full_name='google.cloud.automl.v1beta1.PredictRequest.ParamsEntry',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='key', full_name='google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.key', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='value', full_name='google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.value', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=401,
-  serialized_end=446,
+    name="ParamsEntry",
+    full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="key",
+            full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.key",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="value",
+            full_name="google.cloud.automl.v1beta1.PredictRequest.ParamsEntry.value",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001")),
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=401,
+    serialized_end=446,
 )
 
 _PREDICTREQUEST = _descriptor.Descriptor(
-  name='PredictRequest',
-  full_name='google.cloud.automl.v1beta1.PredictRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.PredictRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='payload', full_name='google.cloud.automl.v1beta1.PredictRequest.payload', index=1,
-      number=2, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='params', full_name='google.cloud.automl.v1beta1.PredictRequest.params', index=2,
-      number=3, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_PREDICTREQUEST_PARAMSENTRY, ],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=234,
-  serialized_end=446,
+    name="PredictRequest",
+    full_name="google.cloud.automl.v1beta1.PredictRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.PredictRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="payload",
+            full_name="google.cloud.automl.v1beta1.PredictRequest.payload",
+            index=1,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="params",
+            full_name="google.cloud.automl.v1beta1.PredictRequest.params",
+            index=2,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[_PREDICTREQUEST_PARAMSENTRY],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=234,
+    serialized_end=446,
 )
 
 
 _PREDICTRESPONSE_METADATAENTRY = _descriptor.Descriptor(
-  name='MetadataEntry',
-  full_name='google.cloud.automl.v1beta1.PredictResponse.MetadataEntry',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='key', full_name='google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.key', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='value', full_name='google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.value', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001')),
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=611,
-  serialized_end=658,
+    name="MetadataEntry",
+    full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="key",
+            full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.key",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="value",
+            full_name="google.cloud.automl.v1beta1.PredictResponse.MetadataEntry.value",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=_descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b("8\001")),
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=611,
+    serialized_end=658,
 )
 
 _PREDICTRESPONSE = _descriptor.Descriptor(
-  name='PredictResponse',
-  full_name='google.cloud.automl.v1beta1.PredictResponse',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='payload', full_name='google.cloud.automl.v1beta1.PredictResponse.payload', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='metadata', full_name='google.cloud.automl.v1beta1.PredictResponse.metadata', index=1,
-      number=2, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[_PREDICTRESPONSE_METADATAENTRY, ],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=449,
-  serialized_end=658,
+    name="PredictResponse",
+    full_name="google.cloud.automl.v1beta1.PredictResponse",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="payload",
+            full_name="google.cloud.automl.v1beta1.PredictResponse.payload",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="metadata",
+            full_name="google.cloud.automl.v1beta1.PredictResponse.metadata",
+            index=1,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[_PREDICTRESPONSE_METADATAENTRY],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=449,
+    serialized_end=658,
 )
 
 _PREDICTREQUEST_PARAMSENTRY.containing_type = _PREDICTREQUEST
-_PREDICTREQUEST.fields_by_name['payload'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._EXAMPLEPAYLOAD
-_PREDICTREQUEST.fields_by_name['params'].message_type = _PREDICTREQUEST_PARAMSENTRY
+_PREDICTREQUEST.fields_by_name[
+    "payload"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._EXAMPLEPAYLOAD
+)
+_PREDICTREQUEST.fields_by_name["params"].message_type = _PREDICTREQUEST_PARAMSENTRY
 _PREDICTRESPONSE_METADATAENTRY.containing_type = _PREDICTRESPONSE
-_PREDICTRESPONSE.fields_by_name['payload'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2._ANNOTATIONPAYLOAD
-_PREDICTRESPONSE.fields_by_name['metadata'].message_type = _PREDICTRESPONSE_METADATAENTRY
-DESCRIPTOR.message_types_by_name['PredictRequest'] = _PREDICTREQUEST
-DESCRIPTOR.message_types_by_name['PredictResponse'] = _PREDICTRESPONSE
+_PREDICTRESPONSE.fields_by_name[
+    "payload"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2._ANNOTATIONPAYLOAD
+)
+_PREDICTRESPONSE.fields_by_name[
+    "metadata"
+].message_type = _PREDICTRESPONSE_METADATAENTRY
+DESCRIPTOR.message_types_by_name["PredictRequest"] = _PREDICTREQUEST
+DESCRIPTOR.message_types_by_name["PredictResponse"] = _PREDICTRESPONSE
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-PredictRequest = _reflection.GeneratedProtocolMessageType('PredictRequest', (_message.Message,), dict(
-
-  ParamsEntry = _reflection.GeneratedProtocolMessageType('ParamsEntry', (_message.Message,), dict(
-    DESCRIPTOR = _PREDICTREQUEST_PARAMSENTRY,
-    __module__ = 'google.cloud.automl_v1beta1.proto.prediction_service_pb2'
-    # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest.ParamsEntry)
-    ))
-  ,
-  DESCRIPTOR = _PREDICTREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.prediction_service_pb2'
-  ,
-  __doc__ = """Request message for
+PredictRequest = _reflection.GeneratedProtocolMessageType(
+    "PredictRequest",
+    (_message.Message,),
+    dict(
+        ParamsEntry=_reflection.GeneratedProtocolMessageType(
+            "ParamsEntry",
+            (_message.Message,),
+            dict(
+                DESCRIPTOR=_PREDICTREQUEST_PARAMSENTRY,
+                __module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
+                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest.ParamsEntry)
+            ),
+        ),
+        DESCRIPTOR=_PREDICTREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
+        __doc__="""Request message for
   [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
   
   
@@ -224,23 +335,28 @@
           results that have at least this confidence score threshold.
           The default is 0.5.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictRequest)
+    ),
+)
 _sym_db.RegisterMessage(PredictRequest)
 _sym_db.RegisterMessage(PredictRequest.ParamsEntry)
 
-PredictResponse = _reflection.GeneratedProtocolMessageType('PredictResponse', (_message.Message,), dict(
-
-  MetadataEntry = _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), dict(
-    DESCRIPTOR = _PREDICTRESPONSE_METADATAENTRY,
-    __module__ = 'google.cloud.automl_v1beta1.proto.prediction_service_pb2'
-    # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse.MetadataEntry)
-    ))
-  ,
-  DESCRIPTOR = _PREDICTRESPONSE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.prediction_service_pb2'
-  ,
-  __doc__ = """Response message for
+PredictResponse = _reflection.GeneratedProtocolMessageType(
+    "PredictResponse",
+    (_message.Message,),
+    dict(
+        MetadataEntry=_reflection.GeneratedProtocolMessageType(
+            "MetadataEntry",
+            (_message.Message,),
+            dict(
+                DESCRIPTOR=_PREDICTRESPONSE_METADATAENTRY,
+                __module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2"
+                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse.MetadataEntry)
+            ),
+        ),
+        DESCRIPTOR=_PREDICTRESPONSE,
+        __module__="google.cloud.automl_v1beta1.proto.prediction_service_pb2",
+        __doc__="""Response message for
   [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
   
   Currently, this is only used to return an image recognition prediction
@@ -254,40 +370,56 @@
       metadata:
           Additional domain-specific prediction response metadata.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.PredictResponse)
+    ),
+)
 _sym_db.RegisterMessage(PredictResponse)
 _sym_db.RegisterMessage(PredictResponse.MetadataEntry)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\026PredictionServiceProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\026PredictionServiceProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 _PREDICTREQUEST_PARAMSENTRY.has_options = True
-_PREDICTREQUEST_PARAMSENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
+_PREDICTREQUEST_PARAMSENTRY._options = _descriptor._ParseOptions(
+    descriptor_pb2.MessageOptions(), _b("8\001")
+)
 _PREDICTRESPONSE_METADATAENTRY.has_options = True
-_PREDICTRESPONSE_METADATAENTRY._options = _descriptor._ParseOptions(descriptor_pb2.MessageOptions(), _b('8\001'))
+_PREDICTRESPONSE_METADATAENTRY._options = _descriptor._ParseOptions(
+    descriptor_pb2.MessageOptions(), _b("8\001")
+)
 
 _PREDICTIONSERVICE = _descriptor.ServiceDescriptor(
-  name='PredictionService',
-  full_name='google.cloud.automl.v1beta1.PredictionService',
-  file=DESCRIPTOR,
-  index=0,
-  options=None,
-  serialized_start=661,
-  serialized_end=851,
-  methods=[
-  _descriptor.MethodDescriptor(
-    name='Predict',
-    full_name='google.cloud.automl.v1beta1.PredictionService.Predict',
+    name="PredictionService",
+    full_name="google.cloud.automl.v1beta1.PredictionService",
+    file=DESCRIPTOR,
     index=0,
-    containing_service=None,
-    input_type=_PREDICTREQUEST,
-    output_type=_PREDICTRESPONSE,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002<\"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\001*')),
-  ),
-])
+    options=None,
+    serialized_start=661,
+    serialized_end=851,
+    methods=[
+        _descriptor.MethodDescriptor(
+            name="Predict",
+            full_name="google.cloud.automl.v1beta1.PredictionService.Predict",
+            index=0,
+            containing_service=None,
+            input_type=_PREDICTREQUEST,
+            output_type=_PREDICTRESPONSE,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002<"7/v1beta1/{name=projects/*/locations/*/models/*}:predict:\001*'
+                ),
+            ),
+        )
+    ],
+)
 _sym_db.RegisterServiceDescriptor(_PREDICTIONSERVICE)
 
-DESCRIPTOR.services_by_name['PredictionService'] = _PREDICTIONSERVICE
+DESCRIPTOR.services_by_name["PredictionService"] = _PREDICTIONSERVICE
 
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2_grpc.py
index adfd74458e4e..09790c6924a8 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/prediction_service_pb2_grpc.py
@@ -1,46 +1,49 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
 
-from google.cloud.automl_v1beta1.proto import prediction_service_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2
+from google.cloud.automl_v1beta1.proto import (
+    prediction_service_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2,
+)
 
 
 class PredictionServiceStub(object):
-  """AutoML Prediction API.
+    """AutoML Prediction API.
   """
 
-  def __init__(self, channel):
-    """Constructor.
+    def __init__(self, channel):
+        """Constructor.
 
     Args:
       channel: A grpc.Channel.
     """
-    self.Predict = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.PredictionService/Predict',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictResponse.FromString,
+        self.Predict = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.PredictionService/Predict",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictResponse.FromString,
         )
 
 
 class PredictionServiceServicer(object):
-  """AutoML Prediction API.
+    """AutoML Prediction API.
   """
 
-  def Predict(self, request, context):
-    """Perform a prediction.
+    def Predict(self, request, context):
+        """Perform a prediction.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
 
 def add_PredictionServiceServicer_to_server(servicer, server):
-  rpc_method_handlers = {
-      'Predict': grpc.unary_unary_rpc_method_handler(
-          servicer.Predict,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictResponse.SerializeToString,
-      ),
-  }
-  generic_handler = grpc.method_handlers_generic_handler(
-      'google.cloud.automl.v1beta1.PredictionService', rpc_method_handlers)
-  server.add_generic_rpc_handlers((generic_handler,))
+    rpc_method_handlers = {
+        "Predict": grpc.unary_unary_rpc_method_handler(
+            servicer.Predict,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_prediction__service__pb2.PredictResponse.SerializeToString,
+        )
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+        "google.cloud.automl.v1beta1.PredictionService", rpc_method_handlers
+    )
+    server.add_generic_rpc_handlers((generic_handler,))
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2.py
index 6b68d969a767..e35626383930 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2.py
@@ -2,708 +2,1076 @@
 # source: google/cloud/automl_v1beta1/proto/service.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2
-from google.cloud.automl_v1beta1.proto import dataset_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2
-from google.cloud.automl_v1beta1.proto import io_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2
-from google.cloud.automl_v1beta1.proto import model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2
-from google.cloud.automl_v1beta1.proto import model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2
-from google.cloud.automl_v1beta1.proto import operations_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2
-from google.longrunning import operations_pb2 as google_dot_longrunning_dot_operations__pb2
+from google.cloud.automl_v1beta1.proto import (
+    annotation_payload_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    dataset_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    io_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    operations_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2,
+)
+from google.longrunning import (
+    operations_pb2 as google_dot_longrunning_dot_operations__pb2,
+)
 from google.protobuf import field_mask_pb2 as google_dot_protobuf_dot_field__mask__pb2
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/service.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n/google/cloud/automl_v1beta1/proto/service.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a/google/cloud/automl_v1beta1/proto/dataset.proto\x1a*google/cloud/automl_v1beta1/proto/io.proto\x1a-google/cloud/automl_v1beta1/proto/model.proto\x1a\x38google/cloud/automl_v1beta1/proto/model_evaluation.proto\x1a\x32google/cloud/automl_v1beta1/proto/operations.proto\x1a#google/longrunning/operations.proto\x1a google/protobuf/field_mask.proto\"]\n\x14\x43reateDatasetRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x35\n\x07\x64\x61taset\x18\x02 \x01(\x0b\x32$.google.cloud.automl.v1beta1.Dataset\"!\n\x11GetDatasetRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"\\\n\x13ListDatasetsRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x0e\n\x06\x66ilter\x18\x03 \x01(\t\x12\x11\n\tpage_size\x18\x04 \x01(\x05\x12\x12\n\npage_token\x18\x06 \x01(\t\"g\n\x14ListDatasetsResponse\x12\x36\n\x08\x64\x61tasets\x18\x01 \x03(\x0b\x32$.google.cloud.automl.v1beta1.Dataset\x12\x17\n\x0fnext_page_token\x18\x02 \x01(\t\"$\n\x14\x44\x65leteDatasetRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"a\n\x11ImportDataRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12>\n\x0cinput_config\x18\x03 \x01(\x0b\x32(.google.cloud.automl.v1beta1.InputConfig\"c\n\x11\x45xportDataRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\x12@\n\routput_config\x18\x03 \x01(\x0b\x32).google.cloud.automl.v1beta1.OutputConfig\"W\n\x12\x43reateModelRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x31\n\x05model\x18\x04 \x01(\x0b\x32\".google.cloud.automl.v1beta1.Model\"\x1f\n\x0fGetModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"Z\n\x11ListModelsRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x0e\n\x06\x66ilter\x18\x03 \x01(\t\x12\x11\n\tpage_size\x18\x04 \x01(\x05\x12\x12\n\npage_token\x18\x06 \x01(\t\"`\n\x12ListModelsResponse\x12\x31\n\x05model\x18\x01 \x03(\x0b\x32\".google.cloud.automl.v1beta1.Model\x12\x17\n\x0fnext_page_token\x18\x02 \x01(\t\"\"\n\x12\x44\x65leteModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"\"\n\x12\x44\x65ployModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"$\n\x14UndeployModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\")\n\x19GetModelEvaluationRequest\x12\x0c\n\x04name\x18\x01 \x01(\t\"d\n\x1bListModelEvaluationsRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x0e\n\x06\x66ilter\x18\x03 \x01(\t\x12\x11\n\tpage_size\x18\x04 \x01(\x05\x12\x12\n\npage_token\x18\x06 \x01(\t\"\x7f\n\x1cListModelEvaluationsResponse\x12\x46\n\x10model_evaluation\x18\x01 \x03(\x0b\x32,.google.cloud.automl.v1beta1.ModelEvaluation\x12\x17\n\x0fnext_page_token\x18\x02 \x01(\t2\xde\x12\n\x06\x41utoMl\x12\xac\x01\n\rCreateDataset\x12\x31.google.cloud.automl.v1beta1.CreateDatasetRequest\x1a$.google.cloud.automl.v1beta1.Dataset\"B\x82\xd3\xe4\x93\x02<\"1/v1beta1/{parent=projects/*/locations/*}/datasets:\x07\x64\x61taset\x12\x9d\x01\n\nGetDataset\x12..google.cloud.automl.v1beta1.GetDatasetRequest\x1a$.google.cloud.automl.v1beta1.Dataset\"9\x82\xd3\xe4\x93\x02\x33\x12\x31/v1beta1/{name=projects/*/locations/*/datasets/*}\x12\xae\x01\n\x0cListDatasets\x12\x30.google.cloud.automl.v1beta1.ListDatasetsRequest\x1a\x31.google.cloud.automl.v1beta1.ListDatasetsResponse\"9\x82\xd3\xe4\x93\x02\x33\x12\x31/v1beta1/{parent=projects/*/locations/*}/datasets\x12\x9c\x01\n\rDeleteDataset\x12\x31.google.cloud.automl.v1beta1.DeleteDatasetRequest\x1a\x1d.google.longrunning.Operation\"9\x82\xd3\xe4\x93\x02\x33*1/v1beta1/{name=projects/*/locations/*/datasets/*}\x12\xa4\x01\n\nImportData\x12..google.cloud.automl.v1beta1.ImportDataRequest\x1a\x1d.google.longrunning.Operation\"G\x82\xd3\xe4\x93\x02\x41\"</v1beta1/{name=projects/*/locations/*/datasets/*}:importData:\x01*\x12\xa4\x01\n\nExportData\x12..google.cloud.automl.v1beta1.ExportDataRequest\x1a\x1d.google.longrunning.Operation\"G\x82\xd3\xe4\x93\x02\x41\"</v1beta1/{name=projects/*/locations/*/datasets/*}:exportData:\x01*\x12\x9d\x01\n\x0b\x43reateModel\x12/.google.cloud.automl.v1beta1.CreateModelRequest\x1a\x1d.google.longrunning.Operation\">\x82\xd3\xe4\x93\x02\x38\"//v1beta1/{parent=projects/*/locations/*}/models:\x05model\x12\x95\x01\n\x08GetModel\x12,.google.cloud.automl.v1beta1.GetModelRequest\x1a\".google.cloud.automl.v1beta1.Model\"7\x82\xd3\xe4\x93\x02\x31\x12//v1beta1/{name=projects/*/locations/*/models/*}\x12\xa6\x01\n\nListModels\x12..google.cloud.automl.v1beta1.ListModelsRequest\x1a/.google.cloud.automl.v1beta1.ListModelsResponse\"7\x82\xd3\xe4\x93\x02\x31\x12//v1beta1/{parent=projects/*/locations/*}/models\x12\x96\x01\n\x0b\x44\x65leteModel\x12/.google.cloud.automl.v1beta1.DeleteModelRequest\x1a\x1d.google.longrunning.Operation\"7\x82\xd3\xe4\x93\x02\x31*//v1beta1/{name=projects/*/locations/*/models/*}\x12\xa0\x01\n\x0b\x44\x65ployModel\x12/.google.cloud.automl.v1beta1.DeployModelRequest\x1a\x1d.google.longrunning.Operation\"A\x82\xd3\xe4\x93\x02;\"6/v1beta1/{name=projects/*/locations/*/models/*}:deploy:\x01*\x12\xa6\x01\n\rUndeployModel\x12\x31.google.cloud.automl.v1beta1.UndeployModelRequest\x1a\x1d.google.longrunning.Operation\"C\x82\xd3\xe4\x93\x02=\"8/v1beta1/{name=projects/*/locations/*/models/*}:undeploy:\x01*\x12\xc6\x01\n\x12GetModelEvaluation\x12\x36.google.cloud.automl.v1beta1.GetModelEvaluationRequest\x1a,.google.cloud.automl.v1beta1.ModelEvaluation\"J\x82\xd3\xe4\x93\x02\x44\x12\x42/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}\x12\xd7\x01\n\x14ListModelEvaluations\x12\x38.google.cloud.automl.v1beta1.ListModelEvaluationsRequest\x1a\x39.google.cloud.automl.v1beta1.ListModelEvaluationsResponse\"J\x82\xd3\xe4\x93\x02\x44\x12\x42/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluationsBs\n\x1f\x63om.google.cloud.automl.v1beta1B\x0b\x41utoMlProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2.DESCRIPTOR,google_dot_longrunning_dot_operations__pb2.DESCRIPTOR,google_dot_protobuf_dot_field__mask__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/service.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n/google/cloud/automl_v1beta1/proto/service.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a:google/cloud/automl_v1beta1/proto/annotation_payload.proto\x1a/google/cloud/automl_v1beta1/proto/dataset.proto\x1a*google/cloud/automl_v1beta1/proto/io.proto\x1a-google/cloud/automl_v1beta1/proto/model.proto\x1a\x38google/cloud/automl_v1beta1/proto/model_evaluation.proto\x1a\x32google/cloud/automl_v1beta1/proto/operations.proto\x1a#google/longrunning/operations.proto\x1a google/protobuf/field_mask.proto"]\n\x14\x43reateDatasetRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x35\n\x07\x64\x61taset\x18\x02 \x01(\x0b\x32$.google.cloud.automl.v1beta1.Dataset"!\n\x11GetDatasetRequest\x12\x0c\n\x04name\x18\x01 \x01(\t"\\\n\x13ListDatasetsRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x0e\n\x06\x66ilter\x18\x03 \x01(\t\x12\x11\n\tpage_size\x18\x04 \x01(\x05\x12\x12\n\npage_token\x18\x06 \x01(\t"g\n\x14ListDatasetsResponse\x12\x36\n\x08\x64\x61tasets\x18\x01 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\x01(\t""\n\x12\x44\x65leteModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t""\n\x12\x44\x65ployModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t"$\n\x14UndeployModelRequest\x12\x0c\n\x04name\x18\x01 \x01(\t")\n\x19GetModelEvaluationRequest\x12\x0c\n\x04name\x18\x01 \x01(\t"d\n\x1bListModelEvaluationsRequest\x12\x0e\n\x06parent\x18\x01 \x01(\t\x12\x0e\n\x06\x66ilter\x18\x03 \x01(\t\x12\x11\n\tpage_size\x18\x04 \x01(\x05\x12\x12\n\npage_token\x18\x06 \x01(\t"\x7f\n\x1cListModelEvaluationsResponse\x12\x46\n\x10model_evaluation\x18\x01 \x03(\x0b\x32,.google.cloud.automl.v1beta1.ModelEvaluation\x12\x17\n\x0fnext_page_token\x18\x02 \x01(\t2\xde\x12\n\x06\x41utoMl\x12\xac\x01\n\rCreateDataset\x12\x31.google.cloud.automl.v1beta1.CreateDatasetRequest\x1a$.google.cloud.automl.v1beta1.Dataset"B\x82\xd3\xe4\x93\x02<"1/v1beta1/{parent=projects/*/locations/*}/datasets:\x07\x64\x61taset\x12\x9d\x01\n\nGetDataset\x12..google.cloud.automl.v1beta1.GetDatasetRequest\x1a$.google.cloud.automl.v1beta1.Dataset"9\x82\xd3\xe4\x93\x02\x33\x12\x31/v1beta1/{name=projects/*/locations/*/datasets/*}\x12\xae\x01\n\x0cListDatasets\x12\x30.google.cloud.automl.v1beta1.ListDatasetsRequest\x1a\x31.google.cloud.automl.v1beta1.ListDatasetsResponse"9\x82\xd3\xe4\x93\x02\x33\x12\x31/v1beta1/{parent=projects/*/locations/*}/datasets\x12\x9c\x01\n\rDeleteDataset\x12\x31.google.cloud.automl.v1beta1.DeleteDatasetRequest\x1a\x1d.google.longrunning.Operation"9\x82\xd3\xe4\x93\x02\x33*1/v1beta1/{name=projects/*/locations/*/datasets/*}\x12\xa4\x01\n\nImportData\x12..google.cloud.automl.v1beta1.ImportDataRequest\x1a\x1d.google.longrunning.Operation"G\x82\xd3\xe4\x93\x02\x41"</v1beta1/{name=projects/*/locations/*/datasets/*}:importData:\x01*\x12\xa4\x01\n\nExportData\x12..google.cloud.automl.v1beta1.ExportDataRequest\x1a\x1d.google.longrunning.Operation"G\x82\xd3\xe4\x93\x02\x41"</v1beta1/{name=projects/*/locations/*/datasets/*}:exportData:\x01*\x12\x9d\x01\n\x0b\x43reateModel\x12/.google.cloud.automl.v1beta1.CreateModelRequest\x1a\x1d.google.longrunning.Operation">\x82\xd3\xe4\x93\x02\x38"//v1beta1/{parent=projects/*/locations/*}/models:\x05model\x12\x95\x01\n\x08GetModel\x12,.google.cloud.automl.v1beta1.GetModelRequest\x1a".google.cloud.automl.v1beta1.Model"7\x82\xd3\xe4\x93\x02\x31\x12//v1beta1/{name=projects/*/locations/*/models/*}\x12\xa6\x01\n\nListModels\x12..google.cloud.automl.v1beta1.ListModelsRequest\x1a/.google.cloud.automl.v1beta1.ListModelsResponse"7\x82\xd3\xe4\x93\x02\x31\x12//v1beta1/{parent=projects/*/locations/*}/models\x12\x96\x01\n\x0b\x44\x65leteModel\x12/.google.cloud.automl.v1beta1.DeleteModelRequest\x1a\x1d.google.longrunning.Operation"7\x82\xd3\xe4\x93\x02\x31*//v1beta1/{name=projects/*/locations/*/models/*}\x12\xa0\x01\n\x0b\x44\x65ployModel\x12/.google.cloud.automl.v1beta1.DeployModelRequest\x1a\x1d.google.longrunning.Operation"A\x82\xd3\xe4\x93\x02;"6/v1beta1/{name=projects/*/locations/*/models/*}:deploy:\x01*\x12\xa6\x01\n\rUndeployModel\x12\x31.google.cloud.automl.v1beta1.UndeployModelRequest\x1a\x1d.google.longrunning.Operation"C\x82\xd3\xe4\x93\x02="8/v1beta1/{name=projects/*/locations/*/models/*}:undeploy:\x01*\x12\xc6\x01\n\x12GetModelEvaluation\x12\x36.google.cloud.automl.v1beta1.GetModelEvaluationRequest\x1a,.google.cloud.automl.v1beta1.ModelEvaluation"J\x82\xd3\xe4\x93\x02\x44\x12\x42/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}\x12\xd7\x01\n\x14ListModelEvaluations\x12\x38.google.cloud.automl.v1beta1.ListModelEvaluationsRequest\x1a\x39.google.cloud.automl.v1beta1.ListModelEvaluationsResponse"J\x82\xd3\xe4\x93\x02\x44\x12\x42/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluationsBs\n\x1f\x63om.google.cloud.automl.v1beta1B\x0b\x41utoMlProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_annotation__payload__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_operations__pb2.DESCRIPTOR,
+        google_dot_longrunning_dot_operations__pb2.DESCRIPTOR,
+        google_dot_protobuf_dot_field__mask__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _CREATEDATASETREQUEST = _descriptor.Descriptor(
-  name='CreateDatasetRequest',
-  full_name='google.cloud.automl.v1beta1.CreateDatasetRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='parent', full_name='google.cloud.automl.v1beta1.CreateDatasetRequest.parent', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='dataset', full_name='google.cloud.automl.v1beta1.CreateDatasetRequest.dataset', index=1,
-      number=2, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=491,
-  serialized_end=584,
+    name="CreateDatasetRequest",
+    full_name="google.cloud.automl.v1beta1.CreateDatasetRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="parent",
+            full_name="google.cloud.automl.v1beta1.CreateDatasetRequest.parent",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="dataset",
+            full_name="google.cloud.automl.v1beta1.CreateDatasetRequest.dataset",
+            index=1,
+            number=2,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=491,
+    serialized_end=584,
 )
 
 
 _GETDATASETREQUEST = _descriptor.Descriptor(
-  name='GetDatasetRequest',
-  full_name='google.cloud.automl.v1beta1.GetDatasetRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.GetDatasetRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=586,
-  serialized_end=619,
+    name="GetDatasetRequest",
+    full_name="google.cloud.automl.v1beta1.GetDatasetRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.GetDatasetRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=586,
+    serialized_end=619,
 )
 
 
 _LISTDATASETSREQUEST = _descriptor.Descriptor(
-  name='ListDatasetsRequest',
-  full_name='google.cloud.automl.v1beta1.ListDatasetsRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='parent', full_name='google.cloud.automl.v1beta1.ListDatasetsRequest.parent', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='filter', full_name='google.cloud.automl.v1beta1.ListDatasetsRequest.filter', index=1,
-      number=3, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_size', full_name='google.cloud.automl.v1beta1.ListDatasetsRequest.page_size', index=2,
-      number=4, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_token', full_name='google.cloud.automl.v1beta1.ListDatasetsRequest.page_token', index=3,
-      number=6, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=621,
-  serialized_end=713,
+    name="ListDatasetsRequest",
+    full_name="google.cloud.automl.v1beta1.ListDatasetsRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="parent",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsRequest.parent",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="filter",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsRequest.filter",
+            index=1,
+            number=3,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_size",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsRequest.page_size",
+            index=2,
+            number=4,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_token",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsRequest.page_token",
+            index=3,
+            number=6,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=621,
+    serialized_end=713,
 )
 
 
 _LISTDATASETSRESPONSE = _descriptor.Descriptor(
-  name='ListDatasetsResponse',
-  full_name='google.cloud.automl.v1beta1.ListDatasetsResponse',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='datasets', full_name='google.cloud.automl.v1beta1.ListDatasetsResponse.datasets', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='next_page_token', full_name='google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=715,
-  serialized_end=818,
+    name="ListDatasetsResponse",
+    full_name="google.cloud.automl.v1beta1.ListDatasetsResponse",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="datasets",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsResponse.datasets",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="next_page_token",
+            full_name="google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=715,
+    serialized_end=818,
 )
 
 
 _DELETEDATASETREQUEST = _descriptor.Descriptor(
-  name='DeleteDatasetRequest',
-  full_name='google.cloud.automl.v1beta1.DeleteDatasetRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.DeleteDatasetRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=820,
-  serialized_end=856,
+    name="DeleteDatasetRequest",
+    full_name="google.cloud.automl.v1beta1.DeleteDatasetRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.DeleteDatasetRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=820,
+    serialized_end=856,
 )
 
 
 _IMPORTDATAREQUEST = _descriptor.Descriptor(
-  name='ImportDataRequest',
-  full_name='google.cloud.automl.v1beta1.ImportDataRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.ImportDataRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='input_config', full_name='google.cloud.automl.v1beta1.ImportDataRequest.input_config', index=1,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=858,
-  serialized_end=955,
+    name="ImportDataRequest",
+    full_name="google.cloud.automl.v1beta1.ImportDataRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.ImportDataRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="input_config",
+            full_name="google.cloud.automl.v1beta1.ImportDataRequest.input_config",
+            index=1,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=858,
+    serialized_end=955,
 )
 
 
 _EXPORTDATAREQUEST = _descriptor.Descriptor(
-  name='ExportDataRequest',
-  full_name='google.cloud.automl.v1beta1.ExportDataRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.ExportDataRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='output_config', full_name='google.cloud.automl.v1beta1.ExportDataRequest.output_config', index=1,
-      number=3, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=957,
-  serialized_end=1056,
+    name="ExportDataRequest",
+    full_name="google.cloud.automl.v1beta1.ExportDataRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.ExportDataRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="output_config",
+            full_name="google.cloud.automl.v1beta1.ExportDataRequest.output_config",
+            index=1,
+            number=3,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=957,
+    serialized_end=1056,
 )
 
 
 _CREATEMODELREQUEST = _descriptor.Descriptor(
-  name='CreateModelRequest',
-  full_name='google.cloud.automl.v1beta1.CreateModelRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='parent', full_name='google.cloud.automl.v1beta1.CreateModelRequest.parent', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='model', full_name='google.cloud.automl.v1beta1.CreateModelRequest.model', index=1,
-      number=4, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1058,
-  serialized_end=1145,
+    name="CreateModelRequest",
+    full_name="google.cloud.automl.v1beta1.CreateModelRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="parent",
+            full_name="google.cloud.automl.v1beta1.CreateModelRequest.parent",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="model",
+            full_name="google.cloud.automl.v1beta1.CreateModelRequest.model",
+            index=1,
+            number=4,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1058,
+    serialized_end=1145,
 )
 
 
 _GETMODELREQUEST = _descriptor.Descriptor(
-  name='GetModelRequest',
-  full_name='google.cloud.automl.v1beta1.GetModelRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.GetModelRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1147,
-  serialized_end=1178,
+    name="GetModelRequest",
+    full_name="google.cloud.automl.v1beta1.GetModelRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.GetModelRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1147,
+    serialized_end=1178,
 )
 
 
 _LISTMODELSREQUEST = _descriptor.Descriptor(
-  name='ListModelsRequest',
-  full_name='google.cloud.automl.v1beta1.ListModelsRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='parent', full_name='google.cloud.automl.v1beta1.ListModelsRequest.parent', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='filter', full_name='google.cloud.automl.v1beta1.ListModelsRequest.filter', index=1,
-      number=3, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_size', full_name='google.cloud.automl.v1beta1.ListModelsRequest.page_size', index=2,
-      number=4, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_token', full_name='google.cloud.automl.v1beta1.ListModelsRequest.page_token', index=3,
-      number=6, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1180,
-  serialized_end=1270,
+    name="ListModelsRequest",
+    full_name="google.cloud.automl.v1beta1.ListModelsRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="parent",
+            full_name="google.cloud.automl.v1beta1.ListModelsRequest.parent",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="filter",
+            full_name="google.cloud.automl.v1beta1.ListModelsRequest.filter",
+            index=1,
+            number=3,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_size",
+            full_name="google.cloud.automl.v1beta1.ListModelsRequest.page_size",
+            index=2,
+            number=4,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_token",
+            full_name="google.cloud.automl.v1beta1.ListModelsRequest.page_token",
+            index=3,
+            number=6,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1180,
+    serialized_end=1270,
 )
 
 
 _LISTMODELSRESPONSE = _descriptor.Descriptor(
-  name='ListModelsResponse',
-  full_name='google.cloud.automl.v1beta1.ListModelsResponse',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='model', full_name='google.cloud.automl.v1beta1.ListModelsResponse.model', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='next_page_token', full_name='google.cloud.automl.v1beta1.ListModelsResponse.next_page_token', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1272,
-  serialized_end=1368,
+    name="ListModelsResponse",
+    full_name="google.cloud.automl.v1beta1.ListModelsResponse",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="model",
+            full_name="google.cloud.automl.v1beta1.ListModelsResponse.model",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="next_page_token",
+            full_name="google.cloud.automl.v1beta1.ListModelsResponse.next_page_token",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1272,
+    serialized_end=1368,
 )
 
 
 _DELETEMODELREQUEST = _descriptor.Descriptor(
-  name='DeleteModelRequest',
-  full_name='google.cloud.automl.v1beta1.DeleteModelRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.DeleteModelRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1370,
-  serialized_end=1404,
+    name="DeleteModelRequest",
+    full_name="google.cloud.automl.v1beta1.DeleteModelRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.DeleteModelRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1370,
+    serialized_end=1404,
 )
 
 
 _DEPLOYMODELREQUEST = _descriptor.Descriptor(
-  name='DeployModelRequest',
-  full_name='google.cloud.automl.v1beta1.DeployModelRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.DeployModelRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1406,
-  serialized_end=1440,
+    name="DeployModelRequest",
+    full_name="google.cloud.automl.v1beta1.DeployModelRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.DeployModelRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1406,
+    serialized_end=1440,
 )
 
 
 _UNDEPLOYMODELREQUEST = _descriptor.Descriptor(
-  name='UndeployModelRequest',
-  full_name='google.cloud.automl.v1beta1.UndeployModelRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.UndeployModelRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1442,
-  serialized_end=1478,
+    name="UndeployModelRequest",
+    full_name="google.cloud.automl.v1beta1.UndeployModelRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.UndeployModelRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1442,
+    serialized_end=1478,
 )
 
 
 _GETMODELEVALUATIONREQUEST = _descriptor.Descriptor(
-  name='GetModelEvaluationRequest',
-  full_name='google.cloud.automl.v1beta1.GetModelEvaluationRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='name', full_name='google.cloud.automl.v1beta1.GetModelEvaluationRequest.name', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1480,
-  serialized_end=1521,
+    name="GetModelEvaluationRequest",
+    full_name="google.cloud.automl.v1beta1.GetModelEvaluationRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="name",
+            full_name="google.cloud.automl.v1beta1.GetModelEvaluationRequest.name",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1480,
+    serialized_end=1521,
 )
 
 
 _LISTMODELEVALUATIONSREQUEST = _descriptor.Descriptor(
-  name='ListModelEvaluationsRequest',
-  full_name='google.cloud.automl.v1beta1.ListModelEvaluationsRequest',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='parent', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsRequest.parent', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='filter', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsRequest.filter', index=1,
-      number=3, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_size', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_size', index=2,
-      number=4, type=5, cpp_type=1, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='page_token', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token', index=3,
-      number=6, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1523,
-  serialized_end=1623,
+    name="ListModelEvaluationsRequest",
+    full_name="google.cloud.automl.v1beta1.ListModelEvaluationsRequest",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="parent",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsRequest.parent",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="filter",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsRequest.filter",
+            index=1,
+            number=3,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_size",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_size",
+            index=2,
+            number=4,
+            type=5,
+            cpp_type=1,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="page_token",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsRequest.page_token",
+            index=3,
+            number=6,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1523,
+    serialized_end=1623,
 )
 
 
 _LISTMODELEVALUATIONSRESPONSE = _descriptor.Descriptor(
-  name='ListModelEvaluationsResponse',
-  full_name='google.cloud.automl.v1beta1.ListModelEvaluationsResponse',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='model_evaluation', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsResponse.model_evaluation', index=0,
-      number=1, type=11, cpp_type=10, label=3,
-      has_default_value=False, default_value=[],
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='next_page_token', full_name='google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=1625,
-  serialized_end=1752,
+    name="ListModelEvaluationsResponse",
+    full_name="google.cloud.automl.v1beta1.ListModelEvaluationsResponse",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="model_evaluation",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsResponse.model_evaluation",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=3,
+            has_default_value=False,
+            default_value=[],
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="next_page_token",
+            full_name="google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=1625,
+    serialized_end=1752,
 )
 
-_CREATEDATASETREQUEST.fields_by_name['dataset'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET
-_LISTDATASETSRESPONSE.fields_by_name['datasets'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET
-_IMPORTDATAREQUEST.fields_by_name['input_config'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._INPUTCONFIG
-_EXPORTDATAREQUEST.fields_by_name['output_config'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._OUTPUTCONFIG
-_CREATEMODELREQUEST.fields_by_name['model'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL
-_LISTMODELSRESPONSE.fields_by_name['model'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL
-_LISTMODELEVALUATIONSRESPONSE.fields_by_name['model_evaluation'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2._MODELEVALUATION
-DESCRIPTOR.message_types_by_name['CreateDatasetRequest'] = _CREATEDATASETREQUEST
-DESCRIPTOR.message_types_by_name['GetDatasetRequest'] = _GETDATASETREQUEST
-DESCRIPTOR.message_types_by_name['ListDatasetsRequest'] = _LISTDATASETSREQUEST
-DESCRIPTOR.message_types_by_name['ListDatasetsResponse'] = _LISTDATASETSRESPONSE
-DESCRIPTOR.message_types_by_name['DeleteDatasetRequest'] = _DELETEDATASETREQUEST
-DESCRIPTOR.message_types_by_name['ImportDataRequest'] = _IMPORTDATAREQUEST
-DESCRIPTOR.message_types_by_name['ExportDataRequest'] = _EXPORTDATAREQUEST
-DESCRIPTOR.message_types_by_name['CreateModelRequest'] = _CREATEMODELREQUEST
-DESCRIPTOR.message_types_by_name['GetModelRequest'] = _GETMODELREQUEST
-DESCRIPTOR.message_types_by_name['ListModelsRequest'] = _LISTMODELSREQUEST
-DESCRIPTOR.message_types_by_name['ListModelsResponse'] = _LISTMODELSRESPONSE
-DESCRIPTOR.message_types_by_name['DeleteModelRequest'] = _DELETEMODELREQUEST
-DESCRIPTOR.message_types_by_name['DeployModelRequest'] = _DEPLOYMODELREQUEST
-DESCRIPTOR.message_types_by_name['UndeployModelRequest'] = _UNDEPLOYMODELREQUEST
-DESCRIPTOR.message_types_by_name['GetModelEvaluationRequest'] = _GETMODELEVALUATIONREQUEST
-DESCRIPTOR.message_types_by_name['ListModelEvaluationsRequest'] = _LISTMODELEVALUATIONSREQUEST
-DESCRIPTOR.message_types_by_name['ListModelEvaluationsResponse'] = _LISTMODELEVALUATIONSRESPONSE
+_CREATEDATASETREQUEST.fields_by_name[
+    "dataset"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET
+)
+_LISTDATASETSRESPONSE.fields_by_name[
+    "datasets"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET
+)
+_IMPORTDATAREQUEST.fields_by_name[
+    "input_config"
+].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._INPUTCONFIG
+_EXPORTDATAREQUEST.fields_by_name[
+    "output_config"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_io__pb2._OUTPUTCONFIG
+)
+_CREATEMODELREQUEST.fields_by_name[
+    "model"
+].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL
+_LISTMODELSRESPONSE.fields_by_name[
+    "model"
+].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL
+_LISTMODELEVALUATIONSRESPONSE.fields_by_name[
+    "model_evaluation"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2._MODELEVALUATION
+)
+DESCRIPTOR.message_types_by_name["CreateDatasetRequest"] = _CREATEDATASETREQUEST
+DESCRIPTOR.message_types_by_name["GetDatasetRequest"] = _GETDATASETREQUEST
+DESCRIPTOR.message_types_by_name["ListDatasetsRequest"] = _LISTDATASETSREQUEST
+DESCRIPTOR.message_types_by_name["ListDatasetsResponse"] = _LISTDATASETSRESPONSE
+DESCRIPTOR.message_types_by_name["DeleteDatasetRequest"] = _DELETEDATASETREQUEST
+DESCRIPTOR.message_types_by_name["ImportDataRequest"] = _IMPORTDATAREQUEST
+DESCRIPTOR.message_types_by_name["ExportDataRequest"] = _EXPORTDATAREQUEST
+DESCRIPTOR.message_types_by_name["CreateModelRequest"] = _CREATEMODELREQUEST
+DESCRIPTOR.message_types_by_name["GetModelRequest"] = _GETMODELREQUEST
+DESCRIPTOR.message_types_by_name["ListModelsRequest"] = _LISTMODELSREQUEST
+DESCRIPTOR.message_types_by_name["ListModelsResponse"] = _LISTMODELSRESPONSE
+DESCRIPTOR.message_types_by_name["DeleteModelRequest"] = _DELETEMODELREQUEST
+DESCRIPTOR.message_types_by_name["DeployModelRequest"] = _DEPLOYMODELREQUEST
+DESCRIPTOR.message_types_by_name["UndeployModelRequest"] = _UNDEPLOYMODELREQUEST
+DESCRIPTOR.message_types_by_name[
+    "GetModelEvaluationRequest"
+] = _GETMODELEVALUATIONREQUEST
+DESCRIPTOR.message_types_by_name[
+    "ListModelEvaluationsRequest"
+] = _LISTMODELEVALUATIONSREQUEST
+DESCRIPTOR.message_types_by_name[
+    "ListModelEvaluationsResponse"
+] = _LISTMODELEVALUATIONSRESPONSE
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-CreateDatasetRequest = _reflection.GeneratedProtocolMessageType('CreateDatasetRequest', (_message.Message,), dict(
-  DESCRIPTOR = _CREATEDATASETREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+CreateDatasetRequest = _reflection.GeneratedProtocolMessageType(
+    "CreateDatasetRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_CREATEDATASETREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
   
   
@@ -713,15 +1081,18 @@
       dataset:
           The dataset to create.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateDatasetRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateDatasetRequest)
+    ),
+)
 _sym_db.RegisterMessage(CreateDatasetRequest)
 
-GetDatasetRequest = _reflection.GeneratedProtocolMessageType('GetDatasetRequest', (_message.Message,), dict(
-  DESCRIPTOR = _GETDATASETREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+GetDatasetRequest = _reflection.GeneratedProtocolMessageType(
+    "GetDatasetRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_GETDATASETREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
   
   
@@ -729,15 +1100,18 @@
       name:
           The resource name of the dataset to retrieve.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetDatasetRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetDatasetRequest)
+    ),
+)
 _sym_db.RegisterMessage(GetDatasetRequest)
 
-ListDatasetsRequest = _reflection.GeneratedProtocolMessageType('ListDatasetsRequest', (_message.Message,), dict(
-  DESCRIPTOR = _LISTDATASETSREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+ListDatasetsRequest = _reflection.GeneratedProtocolMessageType(
+    "ListDatasetsRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTDATASETSREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
   
   
@@ -759,15 +1133,18 @@
           _token] of the previous [AutoMl.ListDatasets][google.cloud.aut
           oml.v1beta1.AutoMl.ListDatasets] call.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsRequest)
+    ),
+)
 _sym_db.RegisterMessage(ListDatasetsRequest)
 
-ListDatasetsResponse = _reflection.GeneratedProtocolMessageType('ListDatasetsResponse', (_message.Message,), dict(
-  DESCRIPTOR = _LISTDATASETSRESPONSE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Response message for
+ListDatasetsResponse = _reflection.GeneratedProtocolMessageType(
+    "ListDatasetsResponse",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTDATASETSRESPONSE,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Response message for
   [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
   
   
@@ -779,15 +1156,18 @@
           sRequest.page\_token][google.cloud.automl.v1beta1.ListDatasets
           Request.page\_token] to obtain that page.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsResponse)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListDatasetsResponse)
+    ),
+)
 _sym_db.RegisterMessage(ListDatasetsResponse)
 
-DeleteDatasetRequest = _reflection.GeneratedProtocolMessageType('DeleteDatasetRequest', (_message.Message,), dict(
-  DESCRIPTOR = _DELETEDATASETREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+DeleteDatasetRequest = _reflection.GeneratedProtocolMessageType(
+    "DeleteDatasetRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_DELETEDATASETREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
   
   
@@ -795,15 +1175,18 @@
       name:
           The resource name of the dataset to delete.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteDatasetRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteDatasetRequest)
+    ),
+)
 _sym_db.RegisterMessage(DeleteDatasetRequest)
 
-ImportDataRequest = _reflection.GeneratedProtocolMessageType('ImportDataRequest', (_message.Message,), dict(
-  DESCRIPTOR = _IMPORTDATAREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+ImportDataRequest = _reflection.GeneratedProtocolMessageType(
+    "ImportDataRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_IMPORTDATAREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
   
   
@@ -814,15 +1197,18 @@
       input_config:
           Required. The desired input location.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImportDataRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImportDataRequest)
+    ),
+)
 _sym_db.RegisterMessage(ImportDataRequest)
 
-ExportDataRequest = _reflection.GeneratedProtocolMessageType('ExportDataRequest', (_message.Message,), dict(
-  DESCRIPTOR = _EXPORTDATAREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+ExportDataRequest = _reflection.GeneratedProtocolMessageType(
+    "ExportDataRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_EXPORTDATAREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
   
   
@@ -832,15 +1218,18 @@
       output_config:
           Required. The desired output location.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ExportDataRequest)
+    ),
+)
 _sym_db.RegisterMessage(ExportDataRequest)
 
-CreateModelRequest = _reflection.GeneratedProtocolMessageType('CreateModelRequest', (_message.Message,), dict(
-  DESCRIPTOR = _CREATEMODELREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+CreateModelRequest = _reflection.GeneratedProtocolMessageType(
+    "CreateModelRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_CREATEMODELREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
   
   
@@ -851,15 +1240,18 @@
       model:
           The model to create.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CreateModelRequest)
+    ),
+)
 _sym_db.RegisterMessage(CreateModelRequest)
 
-GetModelRequest = _reflection.GeneratedProtocolMessageType('GetModelRequest', (_message.Message,), dict(
-  DESCRIPTOR = _GETMODELREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+GetModelRequest = _reflection.GeneratedProtocolMessageType(
+    "GetModelRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_GETMODELREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
   
   
@@ -867,15 +1259,18 @@
       name:
           Resource name of the model.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelRequest)
+    ),
+)
 _sym_db.RegisterMessage(GetModelRequest)
 
-ListModelsRequest = _reflection.GeneratedProtocolMessageType('ListModelsRequest', (_message.Message,), dict(
-  DESCRIPTOR = _LISTMODELSREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+ListModelsRequest = _reflection.GeneratedProtocolMessageType(
+    "ListModelsRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTMODELSREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
   
   
@@ -899,15 +1294,18 @@
           en] of the previous [AutoMl.ListModels][google.cloud.automl.v1
           beta1.AutoMl.ListModels] call.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsRequest)
+    ),
+)
 _sym_db.RegisterMessage(ListModelsRequest)
 
-ListModelsResponse = _reflection.GeneratedProtocolMessageType('ListModelsResponse', (_message.Message,), dict(
-  DESCRIPTOR = _LISTMODELSRESPONSE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Response message for
+ListModelsResponse = _reflection.GeneratedProtocolMessageType(
+    "ListModelsResponse",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTMODELSRESPONSE,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Response message for
   [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
   
   
@@ -918,15 +1316,18 @@
           A token to retrieve next page of results. Pass to
           [ListModels.page\_token][] to obtain that page.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsResponse)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelsResponse)
+    ),
+)
 _sym_db.RegisterMessage(ListModelsResponse)
 
-DeleteModelRequest = _reflection.GeneratedProtocolMessageType('DeleteModelRequest', (_message.Message,), dict(
-  DESCRIPTOR = _DELETEMODELREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+DeleteModelRequest = _reflection.GeneratedProtocolMessageType(
+    "DeleteModelRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_DELETEMODELREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
   
   
@@ -934,15 +1335,18 @@
       name:
           Resource name of the model being deleted.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteModelRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeleteModelRequest)
+    ),
+)
 _sym_db.RegisterMessage(DeleteModelRequest)
 
-DeployModelRequest = _reflection.GeneratedProtocolMessageType('DeployModelRequest', (_message.Message,), dict(
-  DESCRIPTOR = _DEPLOYMODELREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+DeployModelRequest = _reflection.GeneratedProtocolMessageType(
+    "DeployModelRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_DEPLOYMODELREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
   
   
@@ -950,15 +1354,18 @@
       name:
           Resource name of the model to deploy.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeployModelRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DeployModelRequest)
+    ),
+)
 _sym_db.RegisterMessage(DeployModelRequest)
 
-UndeployModelRequest = _reflection.GeneratedProtocolMessageType('UndeployModelRequest', (_message.Message,), dict(
-  DESCRIPTOR = _UNDEPLOYMODELREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+UndeployModelRequest = _reflection.GeneratedProtocolMessageType(
+    "UndeployModelRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_UNDEPLOYMODELREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
   
   
@@ -966,15 +1373,18 @@
       name:
           Resource name of the model to undeploy.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UndeployModelRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.UndeployModelRequest)
+    ),
+)
 _sym_db.RegisterMessage(UndeployModelRequest)
 
-GetModelEvaluationRequest = _reflection.GeneratedProtocolMessageType('GetModelEvaluationRequest', (_message.Message,), dict(
-  DESCRIPTOR = _GETMODELEVALUATIONREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+GetModelEvaluationRequest = _reflection.GeneratedProtocolMessageType(
+    "GetModelEvaluationRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_GETMODELEVALUATIONREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
   
   
@@ -982,15 +1392,18 @@
       name:
           Resource name for the model evaluation.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelEvaluationRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.GetModelEvaluationRequest)
+    ),
+)
 _sym_db.RegisterMessage(GetModelEvaluationRequest)
 
-ListModelEvaluationsRequest = _reflection.GeneratedProtocolMessageType('ListModelEvaluationsRequest', (_message.Message,), dict(
-  DESCRIPTOR = _LISTMODELEVALUATIONSREQUEST,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Request message for
+ListModelEvaluationsRequest = _reflection.GeneratedProtocolMessageType(
+    "ListModelEvaluationsRequest",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTMODELEVALUATIONSREQUEST,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Request message for
   [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
   
   
@@ -1016,15 +1429,18 @@
           previous [AutoMl.ListModelEvaluations][google.cloud.automl.v1b
           eta1.AutoMl.ListModelEvaluations] call.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsRequest)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsRequest)
+    ),
+)
 _sym_db.RegisterMessage(ListModelEvaluationsRequest)
 
-ListModelEvaluationsResponse = _reflection.GeneratedProtocolMessageType('ListModelEvaluationsResponse', (_message.Message,), dict(
-  DESCRIPTOR = _LISTMODELEVALUATIONSRESPONSE,
-  __module__ = 'google.cloud.automl_v1beta1.proto.service_pb2'
-  ,
-  __doc__ = """Response message for
+ListModelEvaluationsResponse = _reflection.GeneratedProtocolMessageType(
+    "ListModelEvaluationsResponse",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_LISTMODELEVALUATIONSRESPONSE,
+        __module__="google.cloud.automl_v1beta1.proto.service_pb2",
+        __doc__="""Response message for
   [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
   
   
@@ -1035,152 +1451,229 @@
           A token to retrieve next page of results. Pass to
           [ListModelEvaluations.page\_token][] to obtain that page.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsResponse)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ListModelEvaluationsResponse)
+    ),
+)
 _sym_db.RegisterMessage(ListModelEvaluationsResponse)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\013AutoMlProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\013AutoMlProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 
 _AUTOML = _descriptor.ServiceDescriptor(
-  name='AutoMl',
-  full_name='google.cloud.automl.v1beta1.AutoMl',
-  file=DESCRIPTOR,
-  index=0,
-  options=None,
-  serialized_start=1755,
-  serialized_end=4153,
-  methods=[
-  _descriptor.MethodDescriptor(
-    name='CreateDataset',
-    full_name='google.cloud.automl.v1beta1.AutoMl.CreateDataset',
+    name="AutoMl",
+    full_name="google.cloud.automl.v1beta1.AutoMl",
+    file=DESCRIPTOR,
     index=0,
-    containing_service=None,
-    input_type=_CREATEDATASETREQUEST,
-    output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002<\"1/v1beta1/{parent=projects/*/locations/*}/datasets:\007dataset')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='GetDataset',
-    full_name='google.cloud.automl.v1beta1.AutoMl.GetDataset',
-    index=1,
-    containing_service=None,
-    input_type=_GETDATASETREQUEST,
-    output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0023\0221/v1beta1/{name=projects/*/locations/*/datasets/*}')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='ListDatasets',
-    full_name='google.cloud.automl.v1beta1.AutoMl.ListDatasets',
-    index=2,
-    containing_service=None,
-    input_type=_LISTDATASETSREQUEST,
-    output_type=_LISTDATASETSRESPONSE,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0023\0221/v1beta1/{parent=projects/*/locations/*}/datasets')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='DeleteDataset',
-    full_name='google.cloud.automl.v1beta1.AutoMl.DeleteDataset',
-    index=3,
-    containing_service=None,
-    input_type=_DELETEDATASETREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0023*1/v1beta1/{name=projects/*/locations/*/datasets/*}')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='ImportData',
-    full_name='google.cloud.automl.v1beta1.AutoMl.ImportData',
-    index=4,
-    containing_service=None,
-    input_type=_IMPORTDATAREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002A\"</v1beta1/{name=projects/*/locations/*/datasets/*}:importData:\001*')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='ExportData',
-    full_name='google.cloud.automl.v1beta1.AutoMl.ExportData',
-    index=5,
-    containing_service=None,
-    input_type=_EXPORTDATAREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002A\"</v1beta1/{name=projects/*/locations/*/datasets/*}:exportData:\001*')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='CreateModel',
-    full_name='google.cloud.automl.v1beta1.AutoMl.CreateModel',
-    index=6,
-    containing_service=None,
-    input_type=_CREATEMODELREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0028\"//v1beta1/{parent=projects/*/locations/*}/models:\005model')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='GetModel',
-    full_name='google.cloud.automl.v1beta1.AutoMl.GetModel',
-    index=7,
-    containing_service=None,
-    input_type=_GETMODELREQUEST,
-    output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0021\022//v1beta1/{name=projects/*/locations/*/models/*}')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='ListModels',
-    full_name='google.cloud.automl.v1beta1.AutoMl.ListModels',
-    index=8,
-    containing_service=None,
-    input_type=_LISTMODELSREQUEST,
-    output_type=_LISTMODELSRESPONSE,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0021\022//v1beta1/{parent=projects/*/locations/*}/models')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='DeleteModel',
-    full_name='google.cloud.automl.v1beta1.AutoMl.DeleteModel',
-    index=9,
-    containing_service=None,
-    input_type=_DELETEMODELREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\0021*//v1beta1/{name=projects/*/locations/*/models/*}')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='DeployModel',
-    full_name='google.cloud.automl.v1beta1.AutoMl.DeployModel',
-    index=10,
-    containing_service=None,
-    input_type=_DEPLOYMODELREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002;\"6/v1beta1/{name=projects/*/locations/*/models/*}:deploy:\001*')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='UndeployModel',
-    full_name='google.cloud.automl.v1beta1.AutoMl.UndeployModel',
-    index=11,
-    containing_service=None,
-    input_type=_UNDEPLOYMODELREQUEST,
-    output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002=\"8/v1beta1/{name=projects/*/locations/*/models/*}:undeploy:\001*')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='GetModelEvaluation',
-    full_name='google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation',
-    index=12,
-    containing_service=None,
-    input_type=_GETMODELEVALUATIONREQUEST,
-    output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2._MODELEVALUATION,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002D\022B/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}')),
-  ),
-  _descriptor.MethodDescriptor(
-    name='ListModelEvaluations',
-    full_name='google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations',
-    index=13,
-    containing_service=None,
-    input_type=_LISTMODELEVALUATIONSREQUEST,
-    output_type=_LISTMODELEVALUATIONSRESPONSE,
-    options=_descriptor._ParseOptions(descriptor_pb2.MethodOptions(), _b('\202\323\344\223\002D\022B/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations')),
-  ),
-])
+    options=None,
+    serialized_start=1755,
+    serialized_end=4153,
+    methods=[
+        _descriptor.MethodDescriptor(
+            name="CreateDataset",
+            full_name="google.cloud.automl.v1beta1.AutoMl.CreateDataset",
+            index=0,
+            containing_service=None,
+            input_type=_CREATEDATASETREQUEST,
+            output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002<"1/v1beta1/{parent=projects/*/locations/*}/datasets:\007dataset'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="GetDataset",
+            full_name="google.cloud.automl.v1beta1.AutoMl.GetDataset",
+            index=1,
+            containing_service=None,
+            input_type=_GETDATASETREQUEST,
+            output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2._DATASET,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0023\0221/v1beta1/{name=projects/*/locations/*/datasets/*}"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="ListDatasets",
+            full_name="google.cloud.automl.v1beta1.AutoMl.ListDatasets",
+            index=2,
+            containing_service=None,
+            input_type=_LISTDATASETSREQUEST,
+            output_type=_LISTDATASETSRESPONSE,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0023\0221/v1beta1/{parent=projects/*/locations/*}/datasets"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="DeleteDataset",
+            full_name="google.cloud.automl.v1beta1.AutoMl.DeleteDataset",
+            index=3,
+            containing_service=None,
+            input_type=_DELETEDATASETREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0023*1/v1beta1/{name=projects/*/locations/*/datasets/*}"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="ImportData",
+            full_name="google.cloud.automl.v1beta1.AutoMl.ImportData",
+            index=4,
+            containing_service=None,
+            input_type=_IMPORTDATAREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002A"</v1beta1/{name=projects/*/locations/*/datasets/*}:importData:\001*'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="ExportData",
+            full_name="google.cloud.automl.v1beta1.AutoMl.ExportData",
+            index=5,
+            containing_service=None,
+            input_type=_EXPORTDATAREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002A"</v1beta1/{name=projects/*/locations/*/datasets/*}:exportData:\001*'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="CreateModel",
+            full_name="google.cloud.automl.v1beta1.AutoMl.CreateModel",
+            index=6,
+            containing_service=None,
+            input_type=_CREATEMODELREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\0028"//v1beta1/{parent=projects/*/locations/*}/models:\005model'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="GetModel",
+            full_name="google.cloud.automl.v1beta1.AutoMl.GetModel",
+            index=7,
+            containing_service=None,
+            input_type=_GETMODELREQUEST,
+            output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2._MODEL,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0021\022//v1beta1/{name=projects/*/locations/*/models/*}"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="ListModels",
+            full_name="google.cloud.automl.v1beta1.AutoMl.ListModels",
+            index=8,
+            containing_service=None,
+            input_type=_LISTMODELSREQUEST,
+            output_type=_LISTMODELSRESPONSE,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0021\022//v1beta1/{parent=projects/*/locations/*}/models"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="DeleteModel",
+            full_name="google.cloud.automl.v1beta1.AutoMl.DeleteModel",
+            index=9,
+            containing_service=None,
+            input_type=_DELETEMODELREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\0021*//v1beta1/{name=projects/*/locations/*/models/*}"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="DeployModel",
+            full_name="google.cloud.automl.v1beta1.AutoMl.DeployModel",
+            index=10,
+            containing_service=None,
+            input_type=_DEPLOYMODELREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002;"6/v1beta1/{name=projects/*/locations/*/models/*}:deploy:\001*'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="UndeployModel",
+            full_name="google.cloud.automl.v1beta1.AutoMl.UndeployModel",
+            index=11,
+            containing_service=None,
+            input_type=_UNDEPLOYMODELREQUEST,
+            output_type=google_dot_longrunning_dot_operations__pb2._OPERATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    '\202\323\344\223\002="8/v1beta1/{name=projects/*/locations/*/models/*}:undeploy:\001*'
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="GetModelEvaluation",
+            full_name="google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation",
+            index=12,
+            containing_service=None,
+            input_type=_GETMODELEVALUATIONREQUEST,
+            output_type=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2._MODELEVALUATION,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\002D\022B/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}"
+                ),
+            ),
+        ),
+        _descriptor.MethodDescriptor(
+            name="ListModelEvaluations",
+            full_name="google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations",
+            index=13,
+            containing_service=None,
+            input_type=_LISTMODELEVALUATIONSREQUEST,
+            output_type=_LISTMODELEVALUATIONSRESPONSE,
+            options=_descriptor._ParseOptions(
+                descriptor_pb2.MethodOptions(),
+                _b(
+                    "\202\323\344\223\002D\022B/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations"
+                ),
+            ),
+        ),
+    ],
+)
 _sym_db.RegisterServiceDescriptor(_AUTOML)
 
-DESCRIPTOR.services_by_name['AutoMl'] = _AUTOML
+DESCRIPTOR.services_by_name["AutoMl"] = _AUTOML
 
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2_grpc.py
index 769ee7feaa82..381be64805c3 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/service_pb2_grpc.py
@@ -1,15 +1,25 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
 
-from google.cloud.automl_v1beta1.proto import dataset_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2
-from google.cloud.automl_v1beta1.proto import model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2
-from google.cloud.automl_v1beta1.proto import model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2
-from google.cloud.automl_v1beta1.proto import service_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2
-from google.longrunning import operations_pb2 as google_dot_longrunning_dot_operations__pb2
+from google.cloud.automl_v1beta1.proto import (
+    dataset_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    model_evaluation_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    model_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2,
+)
+from google.cloud.automl_v1beta1.proto import (
+    service_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2,
+)
+from google.longrunning import (
+    operations_pb2 as google_dot_longrunning_dot_operations__pb2,
+)
 
 
 class AutoMlStub(object):
-  """AutoML Server API.
+    """AutoML Server API.
 
   The resource names are assigned by the server.
   The server never reuses names that it has created after the resources with
@@ -21,86 +31,86 @@ class AutoMlStub(object):
 
   """
 
-  def __init__(self, channel):
-    """Constructor.
+    def __init__(self, channel):
+        """Constructor.
 
     Args:
       channel: A grpc.Channel.
     """
-    self.CreateDataset = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/CreateDataset',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateDatasetRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.FromString,
+        self.CreateDataset = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/CreateDataset",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateDatasetRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.FromString,
         )
-    self.GetDataset = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/GetDataset',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetDatasetRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.FromString,
+        self.GetDataset = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/GetDataset",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetDatasetRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.FromString,
         )
-    self.ListDatasets = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/ListDatasets',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsResponse.FromString,
+        self.ListDatasets = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/ListDatasets",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsResponse.FromString,
         )
-    self.DeleteDataset = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/DeleteDataset',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteDatasetRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.DeleteDataset = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/DeleteDataset",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteDatasetRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.ImportData = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/ImportData',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ImportDataRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.ImportData = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/ImportData",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ImportDataRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.ExportData = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/ExportData',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ExportDataRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.ExportData = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/ExportData",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ExportDataRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.CreateModel = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/CreateModel',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateModelRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.CreateModel = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/CreateModel",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateModelRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.GetModel = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/GetModel',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.Model.FromString,
+        self.GetModel = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/GetModel",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.Model.FromString,
         )
-    self.ListModels = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/ListModels',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsResponse.FromString,
+        self.ListModels = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/ListModels",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsResponse.FromString,
         )
-    self.DeleteModel = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/DeleteModel',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteModelRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.DeleteModel = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/DeleteModel",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteModelRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.DeployModel = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/DeployModel',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeployModelRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.DeployModel = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/DeployModel",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeployModelRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.UndeployModel = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/UndeployModel',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.UndeployModelRequest.SerializeToString,
-        response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
+        self.UndeployModel = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/UndeployModel",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.UndeployModelRequest.SerializeToString,
+            response_deserializer=google_dot_longrunning_dot_operations__pb2.Operation.FromString,
         )
-    self.GetModelEvaluation = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/GetModelEvaluation',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelEvaluationRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.ModelEvaluation.FromString,
+        self.GetModelEvaluation = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/GetModelEvaluation",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelEvaluationRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.ModelEvaluation.FromString,
         )
-    self.ListModelEvaluations = channel.unary_unary(
-        '/google.cloud.automl.v1beta1.AutoMl/ListModelEvaluations',
-        request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsRequest.SerializeToString,
-        response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsResponse.FromString,
+        self.ListModelEvaluations = channel.unary_unary(
+            "/google.cloud.automl.v1beta1.AutoMl/ListModelEvaluations",
+            request_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsRequest.SerializeToString,
+            response_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsResponse.FromString,
         )
 
 
 class AutoMlServicer(object):
-  """AutoML Server API.
+    """AutoML Server API.
 
   The resource names are assigned by the server.
   The server never reuses names that it has created after the resources with
@@ -112,83 +122,83 @@ class AutoMlServicer(object):
 
   """
 
-  def CreateDataset(self, request, context):
-    """Creates a dataset.
+    def CreateDataset(self, request, context):
+        """Creates a dataset.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def GetDataset(self, request, context):
-    """Gets a dataset.
+    def GetDataset(self, request, context):
+        """Gets a dataset.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def ListDatasets(self, request, context):
-    """Lists datasets in a project.
+    def ListDatasets(self, request, context):
+        """Lists datasets in a project.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def DeleteDataset(self, request, context):
-    """Deletes a dataset and all of its contents.
+    def DeleteDataset(self, request, context):
+        """Deletes a dataset and all of its contents.
     Returns empty response in the
     [response][google.longrunning.Operation.response] field when it completes,
     and `delete_details` in the
     [metadata][google.longrunning.Operation.metadata] field.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def ImportData(self, request, context):
-    """Imports data into a dataset.
+    def ImportData(self, request, context):
+        """Imports data into a dataset.
     Returns an empty response in the
     [response][google.longrunning.Operation.response] field when it completes.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def ExportData(self, request, context):
-    """Exports dataset's data to a Google Cloud Storage bucket.
+    def ExportData(self, request, context):
+        """Exports dataset's data to a Google Cloud Storage bucket.
     Returns an empty response in the
     [response][google.longrunning.Operation.response] field when it completes.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def CreateModel(self, request, context):
-    """Creates a model.
+    def CreateModel(self, request, context):
+        """Creates a model.
     Returns a Model in the [response][google.longrunning.Operation.response]
     field when it completes.
     When you create a model, several model evaluations are created for it:
     a global evaluation, and one evaluation for each annotation spec.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def GetModel(self, request, context):
-    """Gets a model.
+    def GetModel(self, request, context):
+        """Gets a model.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def ListModels(self, request, context):
-    """Lists models.
+    def ListModels(self, request, context):
+        """Lists models.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def DeleteModel(self, request, context):
-    """Deletes a model.
+    def DeleteModel(self, request, context):
+        """Deletes a model.
     If a model is already deployed, this only deletes the model in AutoML BE,
     and does not change the status of the deployed model in the production
     environment.
@@ -197,116 +207,117 @@ def DeleteModel(self, request, context):
     and `delete_details` in the
     [metadata][google.longrunning.Operation.metadata] field.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def DeployModel(self, request, context):
-    """Deploys model.
+    def DeployModel(self, request, context):
+        """Deploys model.
     Returns a [DeployModelResponse][] in the
     [response][google.longrunning.Operation.response] field when it completes.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def UndeployModel(self, request, context):
-    """Undeploys model.
+    def UndeployModel(self, request, context):
+        """Undeploys model.
     Returns an `UndeployModelResponse` in the
     [response][google.longrunning.Operation.response] field when it completes.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def GetModelEvaluation(self, request, context):
-    """Gets a model evaluation.
+    def GetModelEvaluation(self, request, context):
+        """Gets a model evaluation.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
-  def ListModelEvaluations(self, request, context):
-    """Lists model evaluations.
+    def ListModelEvaluations(self, request, context):
+        """Lists model evaluations.
     """
-    context.set_code(grpc.StatusCode.UNIMPLEMENTED)
-    context.set_details('Method not implemented!')
-    raise NotImplementedError('Method not implemented!')
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details("Method not implemented!")
+        raise NotImplementedError("Method not implemented!")
 
 
 def add_AutoMlServicer_to_server(servicer, server):
-  rpc_method_handlers = {
-      'CreateDataset': grpc.unary_unary_rpc_method_handler(
-          servicer.CreateDataset,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateDatasetRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.SerializeToString,
-      ),
-      'GetDataset': grpc.unary_unary_rpc_method_handler(
-          servicer.GetDataset,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetDatasetRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.SerializeToString,
-      ),
-      'ListDatasets': grpc.unary_unary_rpc_method_handler(
-          servicer.ListDatasets,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsResponse.SerializeToString,
-      ),
-      'DeleteDataset': grpc.unary_unary_rpc_method_handler(
-          servicer.DeleteDataset,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteDatasetRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'ImportData': grpc.unary_unary_rpc_method_handler(
-          servicer.ImportData,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ImportDataRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'ExportData': grpc.unary_unary_rpc_method_handler(
-          servicer.ExportData,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ExportDataRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'CreateModel': grpc.unary_unary_rpc_method_handler(
-          servicer.CreateModel,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateModelRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'GetModel': grpc.unary_unary_rpc_method_handler(
-          servicer.GetModel,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.Model.SerializeToString,
-      ),
-      'ListModels': grpc.unary_unary_rpc_method_handler(
-          servicer.ListModels,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsResponse.SerializeToString,
-      ),
-      'DeleteModel': grpc.unary_unary_rpc_method_handler(
-          servicer.DeleteModel,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteModelRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'DeployModel': grpc.unary_unary_rpc_method_handler(
-          servicer.DeployModel,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeployModelRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'UndeployModel': grpc.unary_unary_rpc_method_handler(
-          servicer.UndeployModel,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.UndeployModelRequest.FromString,
-          response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
-      ),
-      'GetModelEvaluation': grpc.unary_unary_rpc_method_handler(
-          servicer.GetModelEvaluation,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelEvaluationRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.ModelEvaluation.SerializeToString,
-      ),
-      'ListModelEvaluations': grpc.unary_unary_rpc_method_handler(
-          servicer.ListModelEvaluations,
-          request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsRequest.FromString,
-          response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsResponse.SerializeToString,
-      ),
-  }
-  generic_handler = grpc.method_handlers_generic_handler(
-      'google.cloud.automl.v1beta1.AutoMl', rpc_method_handlers)
-  server.add_generic_rpc_handlers((generic_handler,))
+    rpc_method_handlers = {
+        "CreateDataset": grpc.unary_unary_rpc_method_handler(
+            servicer.CreateDataset,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateDatasetRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.SerializeToString,
+        ),
+        "GetDataset": grpc.unary_unary_rpc_method_handler(
+            servicer.GetDataset,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetDatasetRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_dataset__pb2.Dataset.SerializeToString,
+        ),
+        "ListDatasets": grpc.unary_unary_rpc_method_handler(
+            servicer.ListDatasets,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListDatasetsResponse.SerializeToString,
+        ),
+        "DeleteDataset": grpc.unary_unary_rpc_method_handler(
+            servicer.DeleteDataset,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteDatasetRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "ImportData": grpc.unary_unary_rpc_method_handler(
+            servicer.ImportData,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ImportDataRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "ExportData": grpc.unary_unary_rpc_method_handler(
+            servicer.ExportData,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ExportDataRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "CreateModel": grpc.unary_unary_rpc_method_handler(
+            servicer.CreateModel,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.CreateModelRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "GetModel": grpc.unary_unary_rpc_method_handler(
+            servicer.GetModel,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__pb2.Model.SerializeToString,
+        ),
+        "ListModels": grpc.unary_unary_rpc_method_handler(
+            servicer.ListModels,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelsResponse.SerializeToString,
+        ),
+        "DeleteModel": grpc.unary_unary_rpc_method_handler(
+            servicer.DeleteModel,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeleteModelRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "DeployModel": grpc.unary_unary_rpc_method_handler(
+            servicer.DeployModel,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.DeployModelRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "UndeployModel": grpc.unary_unary_rpc_method_handler(
+            servicer.UndeployModel,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.UndeployModelRequest.FromString,
+            response_serializer=google_dot_longrunning_dot_operations__pb2.Operation.SerializeToString,
+        ),
+        "GetModelEvaluation": grpc.unary_unary_rpc_method_handler(
+            servicer.GetModelEvaluation,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.GetModelEvaluationRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_model__evaluation__pb2.ModelEvaluation.SerializeToString,
+        ),
+        "ListModelEvaluations": grpc.unary_unary_rpc_method_handler(
+            servicer.ListModelEvaluations,
+            request_deserializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsRequest.FromString,
+            response_serializer=google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_service__pb2.ListModelEvaluationsResponse.SerializeToString,
+        ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+        "google.cloud.automl.v1beta1.AutoMl", rpc_method_handlers
+    )
+    server.add_generic_rpc_handlers((generic_handler,))
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2.py
index 61e4a3b133cd..43591b2d8f20 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2.py
@@ -2,117 +2,147 @@
 # source: google/cloud/automl_v1beta1/proto/text.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2
+from google.cloud.automl_v1beta1.proto import (
+    classification_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2,
+)
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/text.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n,google/cloud/automl_v1beta1/proto/text.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto\"q\n!TextClassificationDatasetMetadata\x12L\n\x13\x63lassification_type\x18\x01 \x01(\x0e\x32/.google.cloud.automl.v1beta1.ClassificationType\"!\n\x1fTextClassificationModelMetadataBq\n\x1f\x63om.google.cloud.automl.v1beta1B\tTextProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/text.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n,google/cloud/automl_v1beta1/proto/text.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x36google/cloud/automl_v1beta1/proto/classification.proto"q\n!TextClassificationDatasetMetadata\x12L\n\x13\x63lassification_type\x18\x01 \x01(\x0e\x32/.google.cloud.automl.v1beta1.ClassificationType"!\n\x1fTextClassificationModelMetadataBq\n\x1f\x63om.google.cloud.automl.v1beta1B\tTextProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _TEXTCLASSIFICATIONDATASETMETADATA = _descriptor.Descriptor(
-  name='TextClassificationDatasetMetadata',
-  full_name='google.cloud.automl.v1beta1.TextClassificationDatasetMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='classification_type', full_name='google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.classification_type', index=0,
-      number=1, type=14, cpp_type=8, label=1,
-      has_default_value=False, default_value=0,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=163,
-  serialized_end=276,
+    name="TextClassificationDatasetMetadata",
+    full_name="google.cloud.automl.v1beta1.TextClassificationDatasetMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="classification_type",
+            full_name="google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.classification_type",
+            index=0,
+            number=1,
+            type=14,
+            cpp_type=8,
+            label=1,
+            has_default_value=False,
+            default_value=0,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=163,
+    serialized_end=276,
 )
 
 
 _TEXTCLASSIFICATIONMODELMETADATA = _descriptor.Descriptor(
-  name='TextClassificationModelMetadata',
-  full_name='google.cloud.automl.v1beta1.TextClassificationModelMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=278,
-  serialized_end=311,
+    name="TextClassificationModelMetadata",
+    full_name="google.cloud.automl.v1beta1.TextClassificationModelMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=278,
+    serialized_end=311,
 )
 
-_TEXTCLASSIFICATIONDATASETMETADATA.fields_by_name['classification_type'].enum_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONTYPE
-DESCRIPTOR.message_types_by_name['TextClassificationDatasetMetadata'] = _TEXTCLASSIFICATIONDATASETMETADATA
-DESCRIPTOR.message_types_by_name['TextClassificationModelMetadata'] = _TEXTCLASSIFICATIONMODELMETADATA
+_TEXTCLASSIFICATIONDATASETMETADATA.fields_by_name[
+    "classification_type"
+].enum_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_classification__pb2._CLASSIFICATIONTYPE
+)
+DESCRIPTOR.message_types_by_name[
+    "TextClassificationDatasetMetadata"
+] = _TEXTCLASSIFICATIONDATASETMETADATA
+DESCRIPTOR.message_types_by_name[
+    "TextClassificationModelMetadata"
+] = _TEXTCLASSIFICATIONMODELMETADATA
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-TextClassificationDatasetMetadata = _reflection.GeneratedProtocolMessageType('TextClassificationDatasetMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _TEXTCLASSIFICATIONDATASETMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.text_pb2'
-  ,
-  __doc__ = """Dataset metadata for classification.
+TextClassificationDatasetMetadata = _reflection.GeneratedProtocolMessageType(
+    "TextClassificationDatasetMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TEXTCLASSIFICATIONDATASETMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.text_pb2",
+        __doc__="""Dataset metadata for classification.
   
   
   Attributes:
       classification_type:
           Required. Type of the classification problem.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationDatasetMetadata)
+    ),
+)
 _sym_db.RegisterMessage(TextClassificationDatasetMetadata)
 
-TextClassificationModelMetadata = _reflection.GeneratedProtocolMessageType('TextClassificationModelMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _TEXTCLASSIFICATIONMODELMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.text_pb2'
-  ,
-  __doc__ = """Model metadata that is specific to text classification.
+TextClassificationModelMetadata = _reflection.GeneratedProtocolMessageType(
+    "TextClassificationModelMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TEXTCLASSIFICATIONMODELMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.text_pb2",
+        __doc__="""Model metadata that is specific to text classification.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationModelMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextClassificationModelMetadata)
+    ),
+)
 _sym_db.RegisterMessage(TextClassificationModelMetadata)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\tTextProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\tTextProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/text_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2.py
index 81173f968f25..3fa4cf235cb2 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2.py
@@ -2,195 +2,288 @@
 # source: google/cloud/automl_v1beta1/proto/translation.proto
 
 import sys
-_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+
+_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 from google.protobuf import descriptor_pb2
+
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
 
 
 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
-from google.cloud.automl_v1beta1.proto import data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2
+from google.cloud.automl_v1beta1.proto import (
+    data_items_pb2 as google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2,
+)
 
 
 DESCRIPTOR = _descriptor.FileDescriptor(
-  name='google/cloud/automl_v1beta1/proto/translation.proto',
-  package='google.cloud.automl.v1beta1',
-  syntax='proto3',
-  serialized_pb=_b('\n3google/cloud/automl_v1beta1/proto/translation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto\"X\n\x1aTranslationDatasetMetadata\x12\x1c\n\x14source_language_code\x18\x01 \x01(\t\x12\x1c\n\x14target_language_code\x18\x02 \x01(\t\"K\n\x1cTranslationEvaluationMetrics\x12\x12\n\nbleu_score\x18\x01 \x01(\x01\x12\x17\n\x0f\x62\x61se_bleu_score\x18\x02 \x01(\x01\"j\n\x18TranslationModelMetadata\x12\x12\n\nbase_model\x18\x01 \x01(\t\x12\x1c\n\x14source_language_code\x18\x02 \x01(\t\x12\x1c\n\x14target_language_code\x18\x03 \x01(\t\"]\n\x15TranslationAnnotation\x12\x44\n\x12translated_content\x18\x01 \x01(\x0b\x32(.google.cloud.automl.v1beta1.TextSnippetBx\n\x1f\x63om.google.cloud.automl.v1beta1B\x10TranslationProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3')
-  ,
-  dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,])
-
-
+    name="google/cloud/automl_v1beta1/proto/translation.proto",
+    package="google.cloud.automl.v1beta1",
+    syntax="proto3",
+    serialized_pb=_b(
+        '\n3google/cloud/automl_v1beta1/proto/translation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x32google/cloud/automl_v1beta1/proto/data_items.proto"X\n\x1aTranslationDatasetMetadata\x12\x1c\n\x14source_language_code\x18\x01 \x01(\t\x12\x1c\n\x14target_language_code\x18\x02 \x01(\t"K\n\x1cTranslationEvaluationMetrics\x12\x12\n\nbleu_score\x18\x01 \x01(\x01\x12\x17\n\x0f\x62\x61se_bleu_score\x18\x02 \x01(\x01"j\n\x18TranslationModelMetadata\x12\x12\n\nbase_model\x18\x01 \x01(\t\x12\x1c\n\x14source_language_code\x18\x02 \x01(\t\x12\x1c\n\x14target_language_code\x18\x03 \x01(\t"]\n\x15TranslationAnnotation\x12\x44\n\x12translated_content\x18\x01 \x01(\x0b\x32(.google.cloud.automl.v1beta1.TextSnippetBx\n\x1f\x63om.google.cloud.automl.v1beta1B\x10TranslationProtoP\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automlb\x06proto3'
+    ),
+    dependencies=[
+        google_dot_api_dot_annotations__pb2.DESCRIPTOR,
+        google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2.DESCRIPTOR,
+    ],
+)
 
 
 _TRANSLATIONDATASETMETADATA = _descriptor.Descriptor(
-  name='TranslationDatasetMetadata',
-  full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='source_language_code', full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata.source_language_code', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='target_language_code', full_name='google.cloud.automl.v1beta1.TranslationDatasetMetadata.target_language_code', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=166,
-  serialized_end=254,
+    name="TranslationDatasetMetadata",
+    full_name="google.cloud.automl.v1beta1.TranslationDatasetMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="source_language_code",
+            full_name="google.cloud.automl.v1beta1.TranslationDatasetMetadata.source_language_code",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="target_language_code",
+            full_name="google.cloud.automl.v1beta1.TranslationDatasetMetadata.target_language_code",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=166,
+    serialized_end=254,
 )
 
 
 _TRANSLATIONEVALUATIONMETRICS = _descriptor.Descriptor(
-  name='TranslationEvaluationMetrics',
-  full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='bleu_score', full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics.bleu_score', index=0,
-      number=1, type=1, cpp_type=5, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='base_bleu_score', full_name='google.cloud.automl.v1beta1.TranslationEvaluationMetrics.base_bleu_score', index=1,
-      number=2, type=1, cpp_type=5, label=1,
-      has_default_value=False, default_value=float(0),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=256,
-  serialized_end=331,
+    name="TranslationEvaluationMetrics",
+    full_name="google.cloud.automl.v1beta1.TranslationEvaluationMetrics",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="bleu_score",
+            full_name="google.cloud.automl.v1beta1.TranslationEvaluationMetrics.bleu_score",
+            index=0,
+            number=1,
+            type=1,
+            cpp_type=5,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="base_bleu_score",
+            full_name="google.cloud.automl.v1beta1.TranslationEvaluationMetrics.base_bleu_score",
+            index=1,
+            number=2,
+            type=1,
+            cpp_type=5,
+            label=1,
+            has_default_value=False,
+            default_value=float(0),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=256,
+    serialized_end=331,
 )
 
 
 _TRANSLATIONMODELMETADATA = _descriptor.Descriptor(
-  name='TranslationModelMetadata',
-  full_name='google.cloud.automl.v1beta1.TranslationModelMetadata',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='base_model', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.base_model', index=0,
-      number=1, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='source_language_code', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.source_language_code', index=1,
-      number=2, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-    _descriptor.FieldDescriptor(
-      name='target_language_code', full_name='google.cloud.automl.v1beta1.TranslationModelMetadata.target_language_code', index=2,
-      number=3, type=9, cpp_type=9, label=1,
-      has_default_value=False, default_value=_b("").decode('utf-8'),
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=333,
-  serialized_end=439,
+    name="TranslationModelMetadata",
+    full_name="google.cloud.automl.v1beta1.TranslationModelMetadata",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="base_model",
+            full_name="google.cloud.automl.v1beta1.TranslationModelMetadata.base_model",
+            index=0,
+            number=1,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="source_language_code",
+            full_name="google.cloud.automl.v1beta1.TranslationModelMetadata.source_language_code",
+            index=1,
+            number=2,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+        _descriptor.FieldDescriptor(
+            name="target_language_code",
+            full_name="google.cloud.automl.v1beta1.TranslationModelMetadata.target_language_code",
+            index=2,
+            number=3,
+            type=9,
+            cpp_type=9,
+            label=1,
+            has_default_value=False,
+            default_value=_b("").decode("utf-8"),
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        ),
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=333,
+    serialized_end=439,
 )
 
 
 _TRANSLATIONANNOTATION = _descriptor.Descriptor(
-  name='TranslationAnnotation',
-  full_name='google.cloud.automl.v1beta1.TranslationAnnotation',
-  filename=None,
-  file=DESCRIPTOR,
-  containing_type=None,
-  fields=[
-    _descriptor.FieldDescriptor(
-      name='translated_content', full_name='google.cloud.automl.v1beta1.TranslationAnnotation.translated_content', index=0,
-      number=1, type=11, cpp_type=10, label=1,
-      has_default_value=False, default_value=None,
-      message_type=None, enum_type=None, containing_type=None,
-      is_extension=False, extension_scope=None,
-      options=None, file=DESCRIPTOR),
-  ],
-  extensions=[
-  ],
-  nested_types=[],
-  enum_types=[
-  ],
-  options=None,
-  is_extendable=False,
-  syntax='proto3',
-  extension_ranges=[],
-  oneofs=[
-  ],
-  serialized_start=441,
-  serialized_end=534,
+    name="TranslationAnnotation",
+    full_name="google.cloud.automl.v1beta1.TranslationAnnotation",
+    filename=None,
+    file=DESCRIPTOR,
+    containing_type=None,
+    fields=[
+        _descriptor.FieldDescriptor(
+            name="translated_content",
+            full_name="google.cloud.automl.v1beta1.TranslationAnnotation.translated_content",
+            index=0,
+            number=1,
+            type=11,
+            cpp_type=10,
+            label=1,
+            has_default_value=False,
+            default_value=None,
+            message_type=None,
+            enum_type=None,
+            containing_type=None,
+            is_extension=False,
+            extension_scope=None,
+            options=None,
+            file=DESCRIPTOR,
+        )
+    ],
+    extensions=[],
+    nested_types=[],
+    enum_types=[],
+    options=None,
+    is_extendable=False,
+    syntax="proto3",
+    extension_ranges=[],
+    oneofs=[],
+    serialized_start=441,
+    serialized_end=534,
 )
 
-_TRANSLATIONANNOTATION.fields_by_name['translated_content'].message_type = google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._TEXTSNIPPET
-DESCRIPTOR.message_types_by_name['TranslationDatasetMetadata'] = _TRANSLATIONDATASETMETADATA
-DESCRIPTOR.message_types_by_name['TranslationEvaluationMetrics'] = _TRANSLATIONEVALUATIONMETRICS
-DESCRIPTOR.message_types_by_name['TranslationModelMetadata'] = _TRANSLATIONMODELMETADATA
-DESCRIPTOR.message_types_by_name['TranslationAnnotation'] = _TRANSLATIONANNOTATION
+_TRANSLATIONANNOTATION.fields_by_name[
+    "translated_content"
+].message_type = (
+    google_dot_cloud_dot_automl__v1beta1_dot_proto_dot_data__items__pb2._TEXTSNIPPET
+)
+DESCRIPTOR.message_types_by_name[
+    "TranslationDatasetMetadata"
+] = _TRANSLATIONDATASETMETADATA
+DESCRIPTOR.message_types_by_name[
+    "TranslationEvaluationMetrics"
+] = _TRANSLATIONEVALUATIONMETRICS
+DESCRIPTOR.message_types_by_name["TranslationModelMetadata"] = _TRANSLATIONMODELMETADATA
+DESCRIPTOR.message_types_by_name["TranslationAnnotation"] = _TRANSLATIONANNOTATION
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 
-TranslationDatasetMetadata = _reflection.GeneratedProtocolMessageType('TranslationDatasetMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _TRANSLATIONDATASETMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
-  ,
-  __doc__ = """Dataset metadata that is specific to translation.
+TranslationDatasetMetadata = _reflection.GeneratedProtocolMessageType(
+    "TranslationDatasetMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TRANSLATIONDATASETMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.translation_pb2",
+        __doc__="""Dataset metadata that is specific to translation.
   
   
   Attributes:
@@ -199,15 +292,18 @@
       target_language_code:
           Required. The BCP-47 language code of the target language.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationDatasetMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationDatasetMetadata)
+    ),
+)
 _sym_db.RegisterMessage(TranslationDatasetMetadata)
 
-TranslationEvaluationMetrics = _reflection.GeneratedProtocolMessageType('TranslationEvaluationMetrics', (_message.Message,), dict(
-  DESCRIPTOR = _TRANSLATIONEVALUATIONMETRICS,
-  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
-  ,
-  __doc__ = """Evaluation metrics for the dataset.
+TranslationEvaluationMetrics = _reflection.GeneratedProtocolMessageType(
+    "TranslationEvaluationMetrics",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TRANSLATIONEVALUATIONMETRICS,
+        __module__="google.cloud.automl_v1beta1.proto.translation_pb2",
+        __doc__="""Evaluation metrics for the dataset.
   
   
   Attributes:
@@ -216,15 +312,18 @@
       base_bleu_score:
           Output only. BLEU score for base model.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationEvaluationMetrics)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationEvaluationMetrics)
+    ),
+)
 _sym_db.RegisterMessage(TranslationEvaluationMetrics)
 
-TranslationModelMetadata = _reflection.GeneratedProtocolMessageType('TranslationModelMetadata', (_message.Message,), dict(
-  DESCRIPTOR = _TRANSLATIONMODELMETADATA,
-  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
-  ,
-  __doc__ = """Model metadata that is specific to translation.
+TranslationModelMetadata = _reflection.GeneratedProtocolMessageType(
+    "TranslationModelMetadata",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TRANSLATIONMODELMETADATA,
+        __module__="google.cloud.automl_v1beta1.proto.translation_pb2",
+        __doc__="""Model metadata that is specific to translation.
   
   
   Attributes:
@@ -240,26 +339,35 @@
           Output only. The target languge (The BCP-47 language code)
           that is used for training.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationModelMetadata)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationModelMetadata)
+    ),
+)
 _sym_db.RegisterMessage(TranslationModelMetadata)
 
-TranslationAnnotation = _reflection.GeneratedProtocolMessageType('TranslationAnnotation', (_message.Message,), dict(
-  DESCRIPTOR = _TRANSLATIONANNOTATION,
-  __module__ = 'google.cloud.automl_v1beta1.proto.translation_pb2'
-  ,
-  __doc__ = """Annotation details specific to translation.
+TranslationAnnotation = _reflection.GeneratedProtocolMessageType(
+    "TranslationAnnotation",
+    (_message.Message,),
+    dict(
+        DESCRIPTOR=_TRANSLATIONANNOTATION,
+        __module__="google.cloud.automl_v1beta1.proto.translation_pb2",
+        __doc__="""Annotation details specific to translation.
   
   
   Attributes:
       translated_content:
           Output only . The translated content.
   """,
-  # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationAnnotation)
-  ))
+        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TranslationAnnotation)
+    ),
+)
 _sym_db.RegisterMessage(TranslationAnnotation)
 
 
 DESCRIPTOR.has_options = True
-DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('\n\037com.google.cloud.automl.v1beta1B\020TranslationProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl'))
+DESCRIPTOR._options = _descriptor._ParseOptions(
+    descriptor_pb2.FileOptions(),
+    _b(
+        "\n\037com.google.cloud.automl.v1beta1B\020TranslationProtoP\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl"
+    ),
+)
 # @@protoc_insertion_point(module_scope)
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2_grpc.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2_grpc.py
index a89435267cb2..07cb78fe03a9 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2_grpc.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/proto/translation_pb2_grpc.py
@@ -1,3 +1,2 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
-
diff --git a/packages/google-cloud-automl/google/cloud/automl_v1beta1/types.py b/packages/google-cloud-automl/google/cloud/automl_v1beta1/types.py
index a0b4d3a0f231..6342c8556788 100644
--- a/packages/google-cloud-automl/google/cloud/automl_v1beta1/types.py
+++ b/packages/google-cloud-automl/google/cloud/automl_v1beta1/types.py
@@ -76,7 +76,7 @@
         names.append(name)
 for module in _local_modules:
     for name, message in get_messages(module).items():
-        message.__module__ = 'google.cloud.automl_v1beta1.types'
+        message.__module__ = "google.cloud.automl_v1beta1.types"
         setattr(sys.modules[__name__], name, message)
         names.append(name)
 
diff --git a/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_auto_ml_client_v1beta1.py b/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_auto_ml_client_v1beta1.py
index b3c3e7d573cb..9a59687a3cf3 100644
--- a/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_auto_ml_client_v1beta1.py
+++ b/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_auto_ml_client_v1beta1.py
@@ -58,10 +58,7 @@ def __init__(self, responses=[]):
         self.responses = responses
         self.requests = []
 
-    def unary_unary(self,
-                    method,
-                    request_serializer=None,
-                    response_deserializer=None):
+    def unary_unary(self, method, request_serializer=None, response_deserializer=None):
         return MultiCallableStub(method, self)
 
 
@@ -72,25 +69,25 @@ class CustomException(Exception):
 class TestAutoMlClient(object):
     def test_create_dataset(self):
         # Setup Expected Response
-        name = 'name3373707'
-        display_name = 'displayName1615086568'
+        name = "name3373707"
+        display_name = "displayName1615086568"
         example_count = 1517063674
         expected_response = {
-            'name': name,
-            'display_name': display_name,
-            'example_count': example_count
+            "name": name,
+            "display_name": display_name,
+            "example_count": example_count,
         }
         expected_response = dataset_pb2.Dataset(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
         dataset = {}
 
         response = client.create_dataset(parent, dataset)
@@ -98,20 +95,21 @@ def test_create_dataset(self):
 
         assert len(channel.requests) == 1
         expected_request = service_pb2.CreateDatasetRequest(
-            parent=parent, dataset=dataset)
+            parent=parent, dataset=dataset
+        )
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
     def test_create_dataset_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
         dataset = {}
 
         with pytest.raises(CustomException):
@@ -119,25 +117,25 @@ def test_create_dataset_exception(self):
 
     def test_get_dataset(self):
         # Setup Expected Response
-        name_2 = 'name2-1052831874'
-        display_name = 'displayName1615086568'
+        name_2 = "name2-1052831874"
+        display_name = "displayName1615086568"
         example_count = 1517063674
         expected_response = {
-            'name': name_2,
-            'display_name': display_name,
-            'example_count': example_count
+            "name": name_2,
+            "display_name": display_name,
+            "example_count": example_count,
         }
         expected_response = dataset_pb2.Dataset(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
 
         response = client.get_dataset(name)
         assert expected_response == response
@@ -150,38 +148,34 @@ def test_get_dataset(self):
     def test_get_dataset_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
 
         with pytest.raises(CustomException):
             client.get_dataset(name)
 
     def test_list_datasets(self):
         # Setup Expected Response
-        next_page_token = ''
+        next_page_token = ""
         datasets_element = {}
         datasets = [datasets_element]
-        expected_response = {
-            'next_page_token': next_page_token,
-            'datasets': datasets
-        }
-        expected_response = service_pb2.ListDatasetsResponse(
-            **expected_response)
+        expected_response = {"next_page_token": next_page_token, "datasets": datasets}
+        expected_response = service_pb2.ListDatasetsResponse(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
 
         paged_list_response = client.list_datasets(parent)
         resources = list(paged_list_response)
@@ -196,13 +190,13 @@ def test_list_datasets(self):
 
     def test_list_datasets_exception(self):
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
 
         paged_list_response = client.list_datasets(parent)
         with pytest.raises(CustomException):
@@ -213,18 +207,19 @@ def test_delete_dataset(self):
         expected_response = {}
         expected_response = empty_pb2.Empty(**expected_response)
         operation = operations_pb2.Operation(
-            name='operations/test_delete_dataset', done=True)
+            name="operations/test_delete_dataset", done=True
+        )
         operation.response.Pack(expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
 
         response = client.delete_dataset(name)
         result = response.result()
@@ -239,18 +234,19 @@ def test_delete_dataset_exception(self):
         # Setup Response
         error = status_pb2.Status()
         operation = operations_pb2.Operation(
-            name='operations/test_delete_dataset_exception', done=True)
+            name="operations/test_delete_dataset_exception", done=True
+        )
         operation.error.CopyFrom(error)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
 
         response = client.delete_dataset(name)
         exception = response.exception()
@@ -261,18 +257,19 @@ def test_import_data(self):
         expected_response = {}
         expected_response = empty_pb2.Empty(**expected_response)
         operation = operations_pb2.Operation(
-            name='operations/test_import_data', done=True)
+            name="operations/test_import_data", done=True
+        )
         operation.response.Pack(expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
         input_config = {}
 
         response = client.import_data(name, input_config)
@@ -281,7 +278,8 @@ def test_import_data(self):
 
         assert len(channel.requests) == 1
         expected_request = service_pb2.ImportDataRequest(
-            name=name, input_config=input_config)
+            name=name, input_config=input_config
+        )
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
@@ -289,18 +287,19 @@ def test_import_data_exception(self):
         # Setup Response
         error = status_pb2.Status()
         operation = operations_pb2.Operation(
-            name='operations/test_import_data_exception', done=True)
+            name="operations/test_import_data_exception", done=True
+        )
         operation.error.CopyFrom(error)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
         input_config = {}
 
         response = client.import_data(name, input_config)
@@ -312,18 +311,19 @@ def test_export_data(self):
         expected_response = {}
         expected_response = empty_pb2.Empty(**expected_response)
         operation = operations_pb2.Operation(
-            name='operations/test_export_data', done=True)
+            name="operations/test_export_data", done=True
+        )
         operation.response.Pack(expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
         output_config = {}
 
         response = client.export_data(name, output_config)
@@ -332,7 +332,8 @@ def test_export_data(self):
 
         assert len(channel.requests) == 1
         expected_request = service_pb2.ExportDataRequest(
-            name=name, output_config=output_config)
+            name=name, output_config=output_config
+        )
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
@@ -340,18 +341,19 @@ def test_export_data_exception(self):
         # Setup Response
         error = status_pb2.Status()
         operation = operations_pb2.Operation(
-            name='operations/test_export_data_exception', done=True)
+            name="operations/test_export_data_exception", done=True
+        )
         operation.error.CopyFrom(error)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.dataset_path('[PROJECT]', '[LOCATION]', '[DATASET]')
+        name = client.dataset_path("[PROJECT]", "[LOCATION]", "[DATASET]")
         output_config = {}
 
         response = client.export_data(name, output_config)
@@ -360,28 +362,29 @@ def test_export_data_exception(self):
 
     def test_create_model(self):
         # Setup Expected Response
-        name = 'name3373707'
-        display_name = 'displayName1615086568'
-        dataset_id = 'datasetId-2115646910'
+        name = "name3373707"
+        display_name = "displayName1615086568"
+        dataset_id = "datasetId-2115646910"
         expected_response = {
-            'name': name,
-            'display_name': display_name,
-            'dataset_id': dataset_id
+            "name": name,
+            "display_name": display_name,
+            "dataset_id": dataset_id,
         }
         expected_response = model_pb2.Model(**expected_response)
         operation = operations_pb2.Operation(
-            name='operations/test_create_model', done=True)
+            name="operations/test_create_model", done=True
+        )
         operation.response.Pack(expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
         model = {}
 
         response = client.create_model(parent, model)
@@ -389,8 +392,7 @@ def test_create_model(self):
         assert expected_response == result
 
         assert len(channel.requests) == 1
-        expected_request = service_pb2.CreateModelRequest(
-            parent=parent, model=model)
+        expected_request = service_pb2.CreateModelRequest(parent=parent, model=model)
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
@@ -398,18 +400,19 @@ def test_create_model_exception(self):
         # Setup Response
         error = status_pb2.Status()
         operation = operations_pb2.Operation(
-            name='operations/test_create_model_exception', done=True)
+            name="operations/test_create_model_exception", done=True
+        )
         operation.error.CopyFrom(error)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
         model = {}
 
         response = client.create_model(parent, model)
@@ -418,25 +421,25 @@ def test_create_model_exception(self):
 
     def test_get_model(self):
         # Setup Expected Response
-        name_2 = 'name2-1052831874'
-        display_name = 'displayName1615086568'
-        dataset_id = 'datasetId-2115646910'
+        name_2 = "name2-1052831874"
+        display_name = "displayName1615086568"
+        dataset_id = "datasetId-2115646910"
         expected_response = {
-            'name': name_2,
-            'display_name': display_name,
-            'dataset_id': dataset_id
+            "name": name_2,
+            "display_name": display_name,
+            "dataset_id": dataset_id,
         }
         expected_response = model_pb2.Model(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         response = client.get_model(name)
         assert expected_response == response
@@ -449,37 +452,34 @@ def test_get_model(self):
     def test_get_model_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         with pytest.raises(CustomException):
             client.get_model(name)
 
     def test_list_models(self):
         # Setup Expected Response
-        next_page_token = ''
+        next_page_token = ""
         model_element = {}
         model = [model_element]
-        expected_response = {
-            'next_page_token': next_page_token,
-            'model': model
-        }
+        expected_response = {"next_page_token": next_page_token, "model": model}
         expected_response = service_pb2.ListModelsResponse(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
 
         paged_list_response = client.list_models(parent)
         resources = list(paged_list_response)
@@ -494,13 +494,13 @@ def test_list_models(self):
 
     def test_list_models_exception(self):
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        parent = client.location_path('[PROJECT]', '[LOCATION]')
+        parent = client.location_path("[PROJECT]", "[LOCATION]")
 
         paged_list_response = client.list_models(parent)
         with pytest.raises(CustomException):
@@ -511,18 +511,19 @@ def test_delete_model(self):
         expected_response = {}
         expected_response = empty_pb2.Empty(**expected_response)
         operation = operations_pb2.Operation(
-            name='operations/test_delete_model', done=True)
+            name="operations/test_delete_model", done=True
+        )
         operation.response.Pack(expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         response = client.delete_model(name)
         result = response.result()
@@ -537,18 +538,19 @@ def test_delete_model_exception(self):
         # Setup Response
         error = status_pb2.Status()
         operation = operations_pb2.Operation(
-            name='operations/test_delete_model_exception', done=True)
+            name="operations/test_delete_model_exception", done=True
+        )
         operation.error.CopyFrom(error)
 
         # Mock the API response
         channel = ChannelStub(responses=[operation])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         response = client.delete_model(name)
         exception = response.exception()
@@ -556,20 +558,20 @@ def test_delete_model_exception(self):
 
     def test_deploy_model(self):
         # Setup Expected Response
-        name_2 = 'name2-1052831874'
+        name_2 = "name2-1052831874"
         done = True
-        expected_response = {'name': name_2, 'done': done}
+        expected_response = {"name": name_2, "done": done}
         expected_response = operations_pb2.Operation(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         response = client.deploy_model(name)
         assert expected_response == response
@@ -582,33 +584,33 @@ def test_deploy_model(self):
     def test_deploy_model_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         with pytest.raises(CustomException):
             client.deploy_model(name)
 
     def test_undeploy_model(self):
         # Setup Expected Response
-        name_2 = 'name2-1052831874'
+        name_2 = "name2-1052831874"
         done = True
-        expected_response = {'name': name_2, 'done': done}
+        expected_response = {"name": name_2, "done": done}
         expected_response = operations_pb2.Operation(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         response = client.undeploy_model(name)
         assert expected_response == response
@@ -621,40 +623,40 @@ def test_undeploy_model(self):
     def test_undeploy_model_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         with pytest.raises(CustomException):
             client.undeploy_model(name)
 
     def test_get_model_evaluation(self):
         # Setup Expected Response
-        name_2 = 'name2-1052831874'
-        annotation_spec_id = 'annotationSpecId60690191'
+        name_2 = "name2-1052831874"
+        annotation_spec_id = "annotationSpecId60690191"
         evaluated_example_count = 277565350
         expected_response = {
-            'name': name_2,
-            'annotation_spec_id': annotation_spec_id,
-            'evaluated_example_count': evaluated_example_count
+            "name": name_2,
+            "annotation_spec_id": annotation_spec_id,
+            "evaluated_example_count": evaluated_example_count,
         }
-        expected_response = model_evaluation_pb2.ModelEvaluation(
-            **expected_response)
+        expected_response = model_evaluation_pb2.ModelEvaluation(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        name = client.model_evaluation_path('[PROJECT]', '[LOCATION]',
-                                            '[MODEL]', '[MODEL_EVALUATION]')
+        name = client.model_evaluation_path(
+            "[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"
+        )
 
         response = client.get_model_evaluation(name)
         assert expected_response == response
@@ -667,39 +669,41 @@ def test_get_model_evaluation(self):
     def test_get_model_evaluation_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        name = client.model_evaluation_path('[PROJECT]', '[LOCATION]',
-                                            '[MODEL]', '[MODEL_EVALUATION]')
+        name = client.model_evaluation_path(
+            "[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"
+        )
 
         with pytest.raises(CustomException):
             client.get_model_evaluation(name)
 
     def test_list_model_evaluations(self):
         # Setup Expected Response
-        next_page_token = ''
+        next_page_token = ""
         model_evaluation_element = {}
         model_evaluation = [model_evaluation_element]
         expected_response = {
-            'next_page_token': next_page_token,
-            'model_evaluation': model_evaluation
+            "next_page_token": next_page_token,
+            "model_evaluation": model_evaluation,
         }
         expected_response = service_pb2.ListModelEvaluationsResponse(
-            **expected_response)
+            **expected_response
+        )
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup Request
-        parent = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        parent = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         paged_list_response = client.list_model_evaluations(parent)
         resources = list(paged_list_response)
@@ -708,20 +712,19 @@ def test_list_model_evaluations(self):
         assert expected_response.model_evaluation[0] == resources[0]
 
         assert len(channel.requests) == 1
-        expected_request = service_pb2.ListModelEvaluationsRequest(
-            parent=parent)
+        expected_request = service_pb2.ListModelEvaluationsRequest(parent=parent)
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
     def test_list_model_evaluations_exception(self):
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.AutoMlClient()
 
         # Setup request
-        parent = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        parent = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
 
         paged_list_response = client.list_model_evaluations(parent)
         with pytest.raises(CustomException):
diff --git a/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_prediction_service_client_v1beta1.py b/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_prediction_service_client_v1beta1.py
index f591f8d4257f..2bfeba020105 100644
--- a/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_prediction_service_client_v1beta1.py
+++ b/packages/google-cloud-automl/tests/unit/gapic/v1beta1/test_prediction_service_client_v1beta1.py
@@ -51,10 +51,7 @@ def __init__(self, responses=[]):
         self.responses = responses
         self.requests = []
 
-    def unary_unary(self,
-                    method,
-                    request_serializer=None,
-                    response_deserializer=None):
+    def unary_unary(self, method, request_serializer=None, response_deserializer=None):
         return MultiCallableStub(method, self)
 
 
@@ -66,18 +63,17 @@ class TestPredictionServiceClient(object):
     def test_predict(self):
         # Setup Expected Response
         expected_response = {}
-        expected_response = prediction_service_pb2.PredictResponse(
-            **expected_response)
+        expected_response = prediction_service_pb2.PredictResponse(**expected_response)
 
         # Mock the API response
         channel = ChannelStub(responses=[expected_response])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.PredictionServiceClient()
 
         # Setup Request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
         payload = {}
 
         response = client.predict(name, payload)
@@ -85,20 +81,21 @@ def test_predict(self):
 
         assert len(channel.requests) == 1
         expected_request = prediction_service_pb2.PredictRequest(
-            name=name, payload=payload)
+            name=name, payload=payload
+        )
         actual_request = channel.requests[0][1]
         assert expected_request == actual_request
 
     def test_predict_exception(self):
         # Mock the API response
         channel = ChannelStub(responses=[CustomException()])
-        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
+        patch = mock.patch("google.api_core.grpc_helpers.create_channel")
         with patch as create_channel:
             create_channel.return_value = channel
             client = automl_v1beta1.PredictionServiceClient()
 
         # Setup request
-        name = client.model_path('[PROJECT]', '[LOCATION]', '[MODEL]')
+        name = client.model_path("[PROJECT]", "[LOCATION]", "[MODEL]")
         payload = {}
 
         with pytest.raises(CustomException):