docs(samples): add AutoML image classification sample (#923)

* Create predict_image_classification_sample.py

* feat: new sample and test

* lint: fix wsp

* lint: import order

* lint: fix import

* tags: fixed start tag

* samples: change tabular to image in sample function name.

* samples: replace TF version of reading in binary file with Python version

* samples: delete tf import, move other imports within region tags

* Update predict_image_classification_sample.py

* samples: move imports for lint

* Update predict_image_classification_sample.py

* Update predict_image_classification_sample_test.py

Co-authored-by: Karl Weinmeister <[email protected]>
Co-authored-by: Rosie Zou <[email protected]>
Co-authored-by: nayaknishant <[email protected]>

samples/model-builder/predict_image_classification_sample.py

@@ -0,0 +1,54 @@
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+#  [START aiplatform_sdk_predict_image_classification_sample]
+import base64
+
+from typing import List
+
+from google.cloud import aiplatform
+
+
+def predict_image_classification_sample(
+    project: str,
+    location: str,
+    endpoint_name: str,
+    images: List,
+):
+    '''
+    Args
+        project: Your project ID or project number.
+        location: Region where Endpoint is located. For example, 'us-central1'.
+        endpoint_name: A fully qualified endpoint name or endpoint ID. Example: "projects/123/locations/us-central1/endpoints/456" or
+               "456" when project and location are initialized or passed.
+        images: A list of one or more images to return a prediction for.
+    '''
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint(endpoint_name)
+
+    instances = []
+    for image in images:
+        with open(image, "rb") as f:
+            content = f.read()
+        instances.append({"content": base64.b64encode(content).decode("utf-8")})
+
+    response = endpoint.predict(instances=instances)
+
+    for prediction_ in response.predictions:
+        print(prediction_)
+
+
+#  [END aiplatform_sdk_predict_image_classification_sample]

samples/model-builder/predict_image_classification_sample_test.py

@@ -0,0 +1,33 @@
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import predict_image_classification_sample
+import test_constants as constants
+
+
+def test_predict_image_classification_sample(mock_sdk_init, mock_get_endpoint):
+
+    predict_image_classification_sample.predict_image_classification_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        endpoint_name=constants.ENDPOINT_NAME,
+        images=[]
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)