diff --git a/opensearch_py_ml/ml_commons/ml_commons_client.py b/opensearch_py_ml/ml_commons/ml_commons_client.py
index af4161b3..34529d05 100644
--- a/opensearch_py_ml/ml_commons/ml_commons_client.py
+++ b/opensearch_py_ml/ml_commons/ml_commons_client.py
@@ -24,8 +24,8 @@
 from opensearch_py_ml.ml_commons.model_access_control import ModelAccessControl
 from opensearch_py_ml.ml_commons.model_connector import Connector
 from opensearch_py_ml.ml_commons.model_execute import ModelExecute
-from opensearch_py_ml.ml_commons.model_uploader import ModelUploader
 from opensearch_py_ml.ml_commons.model_profile import ModelProfile
+from opensearch_py_ml.ml_commons.model_uploader import ModelUploader
 
 
 class MLCommonClient:
diff --git a/opensearch_py_ml/ml_commons/model_profile.py b/opensearch_py_ml/ml_commons/model_profile.py
index 18eee298..fecdddab 100644
--- a/opensearch_py_ml/ml_commons/model_profile.py
+++ b/opensearch_py_ml/ml_commons/model_profile.py
@@ -5,47 +5,49 @@
 # Any modifications Copyright OpenSearch Contributors. See
 # GitHub history for details.
 
-from opensearchpy import OpenSearch
 from typing import Optional
 
+from opensearchpy import OpenSearch
+
 from opensearch_py_ml.ml_commons.ml_common_utils import ML_BASE_URI
 
 
 class ModelProfile:
     API_ENDPOINT = "profile"
-    
+
     def __init__(self, os_client: OpenSearch):
         self.client = os_client
-    
+
     def _validate_input(self, path_parameter, payload):
         if path_parameter is not None and not isinstance(path_parameter, str):
             raise ValueError("payload needs to be a dictionary or None")
 
         if payload is not None and not isinstance(payload, dict):
             raise ValueError("path_parameter needs to be a string or None")
-    
+
     def get_profile(self, payload: Optional[dict] = None):
         if payload is not None and not isinstance(payload, dict):
             raise ValueError("payload needs to be a dictionary or None")
         return self.client.transport.perform_request(
             method="GET", url=f"{ML_BASE_URI}/{self.API_ENDPOINT}", body=payload
         )
-    
-    def get_models_profile(self, path_parameter: Optional[str]='', payload: Optional[dict] = None):
-        
+
+    def get_models_profile(
+        self, path_parameter: Optional[str] = "", payload: Optional[dict] = None
+    ):
         self._validate_input(path_parameter, payload)
-        
+
         url = f"{ML_BASE_URI}/{self.API_ENDPOINT}/models/{path_parameter if path_parameter else ''}"
         return self.client.transport.perform_request(
             method="GET", url=url, body=payload
         )
-        
 
-    def get_tasks_profile(self, path_parameter: Optional[str]='', payload: Optional[dict] = None):
-        
+    def get_tasks_profile(
+        self, path_parameter: Optional[str] = "", payload: Optional[dict] = None
+    ):
         self._validate_input(path_parameter, payload)
-        
+
         url = f"{ML_BASE_URI}/{self.API_ENDPOINT}/tasks/{path_parameter if path_parameter else ''}"
         return self.client.transport.perform_request(
             method="GET", url=url, body=payload
-        )
\ No newline at end of file
+        )
diff --git a/tests/ml_commons/test_ml_commons_client.py b/tests/ml_commons/test_ml_commons_client.py
index 170a3ea6..20193a03 100644
--- a/tests/ml_commons/test_ml_commons_client.py
+++ b/tests/ml_commons/test_ml_commons_client.py
@@ -17,8 +17,8 @@
 from sklearn.datasets import load_iris
 
 from opensearch_py_ml.ml_commons import MLCommonClient
-from opensearch_py_ml.ml_commons.model_uploader import ModelUploader
 from opensearch_py_ml.ml_commons.model_profile import ModelProfile
+from opensearch_py_ml.ml_commons.model_uploader import ModelUploader
 from opensearch_py_ml.ml_models.sentencetransformermodel import SentenceTransformerModel
 from tests import OPENSEARCH_TEST_CLIENT
 
@@ -575,19 +575,21 @@ def test_search():
         raised = True
     assert raised == False, "Raised Exception in searching model"
 
+
 # Model Profile Tests. These will need some model train/predict data. Hence, need to be
 # at the end after the training/prediction tests are done.
 
+
 @pytest.fixture
 def profile_client():
     client = ModelProfile(OPENSEARCH_TEST_CLIENT)
     return client
 
+
 def test_get_profile(profile_client):
-    
     with pytest.raises(ValueError):
         profile_client.get_profile("")
-    
+
     result = profile_client.get_profile()
     assert isinstance(result, dict)
     if len(result) > 0:
@@ -595,33 +597,29 @@ def test_get_profile(profile_client):
 
 
 def test_get_models_profile(profile_client):
-    
     with pytest.raises(ValueError):
         profile_client.get_models_profile(10)
-    
+
     with pytest.raises(ValueError):
         profile_client.get_models_profile("", 10)
-    
+
     result = profile_client.get_models_profile()
     assert isinstance(result, dict)
     if len(result) > 0:
         assert "nodes" in result
-        for _, node_val in result['nodes'].items():
+        for _, node_val in result["nodes"].items():
             assert "models" in node_val
-            
 
 
 def test_get_tasks_profile(profile_client):
-    
     with pytest.raises(ValueError):
         profile_client.get_tasks_profile(10)
-    
+
     with pytest.raises(ValueError):
         profile_client.get_tasks_profile("", 10)
-    
+
     result = profile_client.get_tasks_profile()
     if len(result) > 0:
         assert "nodes" in result
-        for _, node_val in result['nodes'].items():
+        for _, node_val in result["nodes"].items():
             assert "tasks" in node_val
-    
\ No newline at end of file