Update app.py

app.py

@@ -9,24 +9,21 @@ model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
 # Chat history (global per session)
 chat_history_ids = None
 
-def vibebot_response(user_input, history=[]):
+def vibebot_response(message, chat_history):
     global chat_history_ids
+
     # Encode user input
-    new_input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors='pt')
+    new_input_ids = tokenizer.encode(message + tokenizer.eos_token, return_tensors='pt')
 
-    # Append to chat history if exists
+    # Append to chat history if it exists
     bot_input_ids = torch.cat([chat_history_ids, new_input_ids], dim=-1) if chat_history_ids is not None else new_input_ids
 
     # Generate response
     chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
     response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
 
-    # Append for gradio history
-    history.append((user_input, response))
-    return history, history
+    return response
 
 # Gradio interface
-demo = gr.ChatInterface(fn=vibebot_response, title="VibeBot: Gen-Z Therapist",
-                        chatbot=gr.Chatbot(height=400), theme="default")
-
-demo.launch()
+chat = gr.ChatInterface(fn=vibebot_response, title="VibeBot: Gen-Z Therapist")
+chat.launch()