Update app.py

app.py

@@ -100,35 +100,20 @@ def generate_response(messages):
     
     return result[0]["generated_text"]
 
-def chat_interface(message, chat_history):
-    if message.strip() == "":
-        return chat_history
-    
-    try:
-        messages = []
-        for msg in chat_history:
-            messages.append({"role": "user", "content": msg[0]})
-            if msg[1] is not None:
-                messages.append({"role": "assistant", "content": msg[1]})
-        
-        messages.append({"role": "user", "content": message})
-        
-        response = generate_response(messages)
-        
-        chat_history.append((message, response))
-        return chat_history
-    except Exception as e:
-        chat_history.append((message, f"Error: {str(e)}"))
-        return chat_history
+def chat_interface(messages):
+    chat_history = []
+    for message in messages:
+        try:
+            response = generate_response([{"role": "user", "content": message}])
+            chat_history.append((message, response))
+        except Exception as e:
+            chat_history.append((message, f"Error: {str(e)}"))
+    return chat_history
 
 # Create Gradio interface
 demo = gr.Chatbot(
     chat_interface,
-    #description="Chat with Qwen2.5-Coder-32B model via Hugging Face Inference API",
-    examples=[
-        "Hello! Can you help me with coding?",
-        "Write a simple Python function to calculate factorial"
-    ]
+    type="messages"
 )
 
 # Mount both FastAPI and Gradio