Update app.py

app.py

@@ -1,26 +1,24 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+
 def respond(
     message,
-    history: list[tuple[str, str]],
+    history: list[dict[str, str]],
     system_message,
     max_tokens,
     temperature,
     top_p,
-    hf_token: gr.OAuthToken,  # Add OAuth token parameter
+    hf_token: gr.OAuthToken,
 ):
-    # Initialize client with the OAuth token
+    """
+    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+    """
     client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
 
     messages = [{"role": "system", "content": system_message}]
 
-    # Convert history from tuple format to message format
-    for user_msg, assistant_msg in history:
-        if user_msg:
-            messages.append({"role": "user", "content": user_msg})
-        if assistant_msg:
-            messages.append({"role": "assistant", "content": assistant_msg})
+    messages.extend(history)
 
     messages.append({"role": "user", "content": message})
 
@@ -33,35 +31,40 @@ def respond(
         temperature=temperature,
         top_p=top_p,
     ):
-        # Add safety check for the response structure
-        if hasattr(message, 'choices') and len(message.choices) > 0:
-            if hasattr(message.choices[0], 'delta') and hasattr(message.choices[0].delta, 'content'):
-                token = message.choices[0].delta.content
-                response += token
-                yield response
+        choices = message.choices
+        token = ""
+        if len(choices) and choices[0].delta.content:
+            token = choices[0].delta.content
+
+        response += token
+        yield response
+
 
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+chatbot = gr.ChatInterface(
+    respond,
+    type="messages",
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+    ],
+)
 
-# Create the ChatInterface with OAuth support
 with gr.Blocks() as demo:
     with gr.Sidebar():
-        gr.LoginButton()  # Add login button
-    
-    chatbot = gr.ChatInterface(
-        respond,
-        additional_inputs=[
-            gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-            gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-            gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-            gr.Slider(
-                minimum=0.1,
-                maximum=1.0,
-                value=0.95,
-                step=0.05,
-                label="Top-p (nucleus sampling)",
-            ),
-        ],
-    )
+        gr.LoginButton()
+    chatbot.render()
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()