Update app.py

app.py

@@ -1,4 +1,4 @@
-"""Gradio App for Veda Programming Assistant - Fixed for Gradio 6.2.0"""
+"""Gradio App for Veda Programming Assistant - Gradio 6.2.0"""
 
 import gradio as gr
 import tensorflow as tf
@@ -124,6 +124,9 @@ def generate_response(user_input: str, temperature: float = 0.7, max_tokens: int
         
         response = clean_response(response)
         
+        if not response:
+            response = "I'm not sure how to respond to that. Could you try rephrasing?"
+        
         conversation_history.append({
             'user': user_input,
             'assistant': response
@@ -139,18 +142,22 @@ def generate_response(user_input: str, temperature: float = 0.7, max_tokens: int
         return f"Error: {str(e)}"
 
 
-def respond(message, chat_history, temperature, max_tokens):
-    """Chat function - returns tuple format"""
+def respond(message, history, temperature, max_tokens):
+    """Chat function using messages format for Gradio 6.x"""
     if not message or not message.strip():
-        return "", chat_history if chat_history else []
+        return "", history if history else []
     
     bot_message = generate_response(message, temperature, max_tokens)
     
-    if chat_history is None:
-        chat_history = []
+    if history is None:
+        history = []
+    
+    # Gradio 6.x requires messages format
+    new_history = list(history)
+    new_history.append({"role": "user", "content": message})
+    new_history.append({"role": "assistant", "content": bot_message})
     
-    chat_history.append((message, bot_message))
-    return "", chat_history
+    return "", new_history
 
 
 def feedback_good():
@@ -215,7 +222,7 @@ initialize()
 print("Initialization complete!")
 
 
-# Create Gradio interface - NO type parameter
+# Create Gradio interface
 with gr.Blocks(title="Veda Programming Assistant") as demo:
     
     gr.Markdown("""
@@ -227,10 +234,10 @@ with gr.Blocks(title="Veda Programming Assistant") as demo:
     with gr.Tabs():
         
         with gr.TabItem("💬 Chat"):
-            # Simple Chatbot without type parameter
             chatbot = gr.Chatbot(
                 label="Conversation",
-                height=400
+                height=400,
+                value=[]
             )
             
             with gr.Row():
@@ -265,7 +272,6 @@ with gr.Blocks(title="Veda Programming Assistant") as demo:
             
             feedback_msg = gr.Textbox(label="Status", lines=1, interactive=False)
             
-            # Event handlers
             send_btn.click(
                 respond,
                 inputs=[msg, chatbot, temperature, max_tokens],
@@ -320,12 +326,8 @@ with gr.Blocks(title="Veda Programming Assistant") as demo:
             refresh_btn = gr.Button("🔄 Refresh Statistics")
             refresh_btn.click(get_stats, outputs=stats_out)
     
-    gr.Markdown("""
-    ---
-    **Veda Programming Assistant** - Learning from every conversation!
-    """)
+    gr.Markdown("---\n**Veda Programming Assistant** - Learning from every conversation!")
 
 
-# Launch the app
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)