Update app.py

app.py

@@ -12,22 +12,30 @@ SYSTEM_MESSAGE = (
 
 # Function to handle chatbot responses
 def respond(message, history):
-    # Convert history to OpenAI-style format
-    messages = [{"role": "system", "content": SYSTEM_MESSAGE}] + history
+    # Convert history into OpenAI-style messages
+    messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
+    
+    # Convert Gradio history format (tuples) to OpenAI format
+    for user, bot in history:
+        messages.append({"role": "user", "content": user})
+        messages.append({"role": "assistant", "content": bot})
+
+    # Append latest user input
     messages.append({"role": "user", "content": message})
 
     # Get response from Hugging Face model
     response = client.chat_completion(messages, max_tokens=200, temperature=0.7)
     bot_reply = response.choices[0].message.content
 
-    # Append response to history in OpenAI format
-    history.append({"role": "assistant", "content": bot_reply})
-    return history
+    # Append new message in (user, bot) tuple format (✅ Correct for Gradio)
+    history.append((message, bot_reply))
+    
+    return history, bot_reply  # ✅ Ensure return matches Gradio format
 
 # Create Gradio chatbot UI
 demo = gr.ChatInterface(
     respond, 
-    chatbot=gr.Chatbot(type="messages"),  # Correct format
+    chatbot=gr.Chatbot(),  # ✅ Default format expects (user, bot) tuples
     title="Misinformation Detection Chatbot",
     description="Ask anything, and the chatbot will verify whether it's true or false.",
 )