Update app.py

app.py

@@ -1,13 +1,6 @@
 import gradio as gr
-import os
 from huggingface_hub import InferenceClient
 
-# Initialize the InferenceClient for chatbot
-client = InferenceClient(
-    model="openai/gpt-oss-20b",
-    token=os.getenv("HF_TOKEN1")
-)
-
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -15,14 +8,19 @@ def respond(
     max_tokens,
     temperature,
     top_p,
+    hf_token: gr.OAuthToken,  # Add OAuth token parameter
 ):
+    # Initialize client with the OAuth token
+    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+
     messages = [{"role": "system", "content": system_message}]
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    # 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.append({"role": "user", "content": message})
 
@@ -35,31 +33,35 @@ def respond(
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
+        # 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
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = 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)",
-        ),
-    ],
-)
+# 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)",
+            ),
+        ],
+    )
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()