Update docs: Using the OpenAI Library

Add sse function to requests sessions
Small improvments in OpenaiChat and ARTA provider

docs/interference-api.md

@@ -8,7 +8,7 @@
    - [From Repository](#from-repository)
    - [Using the Interference API](#using-the-interference-api)
    - [Basic Usage](#basic-usage)
-   - [With OpenAI Library](#with-openai-library)
+   - [Using the OpenAI Library](#using-the-openai-library)
    - [With Requests Library](#with-requests-library)
    - [Selecting a Provider](#selecting-a-provider)
    - [Key Points](#key-points)
@@ -95,35 +95,45 @@ curl -X POST "http://localhost:1337/v1/images/generate" \
          }'
 ```
 
+---
 
-### With OpenAI Library
+### Using the OpenAI Library
+
+**To utilize the Inference API with the OpenAI Python library, you can specify the `base_url` to point to your endpoint:**
 
-**You can use the Interference API with the OpenAI Python library by changing the `base_url`:**
 ```python
 from openai import OpenAI
 
+# Initialize the OpenAI client
 client = OpenAI(
-    api_key="secret",
-    base_url="http://localhost:1337/v1"
+    api_key="secret",  # Set an API key (use "secret" if your provider doesn't require one)
+    base_url="http://localhost:1337/v1"  # Point to your local or custom API endpoint
 )
 
+# Create a chat completion request
 response = client.chat.completions.create(
-    model="gpt-4o-mini",
-    messages=[{"role": "user", "content": "Write a poem about a tree"}],
-    stream=True,
+    model="gpt-4o-mini",  # Specify the model to use
+    messages=[{"role": "user", "content": "Write a poem about a tree"}],  # Define the input message
+    stream=True,  # Enable streaming for real-time responses
 )
 
+# Handle the response
 if isinstance(response, dict):
-    # Not streaming
+    # Non-streaming response
     print(response.choices[0].message.content)
 else:
-    # Streaming
+    # Streaming response
     for token in response:
         content = token.choices[0].delta.content
         if content is not None:
             print(content, end="", flush=True)
-
 ```
+
+**Notes:**
+- The `api_key` is required by the OpenAI Python library. If your provider does not require an API key, you can set it to `"secret"`. This value will be ignored by providers in G4F.
+- Replace `"http://localhost:1337/v1"` with the appropriate URL for your custom or local inference API.
+
+---
   
 
 ### With Requests Library