diff --git a/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py b/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
index a55760006..6bf9a32af 100644
--- a/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
+++ b/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
@@ -9,9 +9,7 @@ from langflow import CustomComponent
 class AzureChatOpenAISpecsComponent(CustomComponent):
     display_name: str = "AzureChatOpenAI"
     description: str = "LLM model from Azure OpenAI."
-    documentation: str = (
-        "https://python.langchain.com/docs/integrations/llms/azure_openai"
-    )
+    documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
     beta = False
 
     AZURE_OPENAI_MODELS = [
diff --git a/src/backend/langflow/components/models/AzureOpenAIModel.py b/src/backend/langflow/components/models/AzureOpenAIModel.py
index 23da7e2ea..1e646e43a 100644
--- a/src/backend/langflow/components/models/AzureOpenAIModel.py
+++ b/src/backend/langflow/components/models/AzureOpenAIModel.py
@@ -9,9 +9,7 @@ from langflow import CustomComponent
 class AzureChatOpenAIComponent(CustomComponent):
     display_name: str = "AzureOpenAI Model"
     description: str = "Generate text using LLM model from Azure OpenAI."
-    documentation: str = (
-        "https://python.langchain.com/docs/integrations/llms/azure_openai"
-    )
+    documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai"
     beta = False
 
     AZURE_OPENAI_MODELS = [
diff --git a/src/backend/langflow/interface/wrappers/base.py b/src/backend/langflow/interface/wrappers/base.py
index 5cbc943c6..204a5153e 100644
--- a/src/backend/langflow/interface/wrappers/base.py
+++ b/src/backend/langflow/interface/wrappers/base.py
@@ -13,9 +13,7 @@ class WrapperCreator(LangChainTypeCreator):
     @property
     def type_to_loader_dict(self) -> Dict:
         if self.type_dict is None:
-            self.type_dict = {
-                wrapper.__name__: wrapper for wrapper in [requests.TextRequestsWrapper]
-            }
+            self.type_dict = {wrapper.__name__: wrapper for wrapper in [requests.TextRequestsWrapper]}
         return self.type_dict
 
     def get_signature(self, name: str) -> Optional[Dict]: