diff --git a/docs/openapi.json b/docs/openapi.json
index b37eb33a..d0f78061 100644
--- a/docs/openapi.json
+++ b/docs/openapi.json
@@ -2094,4 +2094,4 @@
       "description": "Hugging Face Text Generation Inference API"
     }
   ]
-}
\ No newline at end of file
+}
diff --git a/docs/source/basic_tutorials/consuming_tgi.md b/docs/source/basic_tutorials/consuming_tgi.md
index 6e4ec49c..b07e7219 100644
--- a/docs/source/basic_tutorials/consuming_tgi.md
+++ b/docs/source/basic_tutorials/consuming_tgi.md
@@ -88,7 +88,7 @@ There is also an async version of the client, `AsyncInferenceClient`, based on `
 
 You can directly use the OpenAI [Python](https://github.com/openai/openai-python) or [JS](https://github.com/openai/openai-node) clients to interact with TGI.
 
-Install the OpenAI Python package via pip. 
+Install the OpenAI Python package via pip.
 
 ```bash
 pip install openai
@@ -145,7 +145,7 @@ def inference(message, history):
         stream=True,
         max_tokens=1024,
     )
-    
+
     for chunk in output:
         partial_message += chunk.choices[0].delta.content
         yield partial_message
@@ -196,4 +196,4 @@ To serve both ChatUI and TGI in same environment, simply add your own endpoints
 }
 ```
 
-![ChatUI](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/chatui_screen.png)
\ No newline at end of file
+![ChatUI](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/chatui_screen.png)