Update app.py

app.py

@@ -19,7 +19,6 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 # Try to import spaces; if available, wrap functions for GPU support.
 try:
     import spaces
-
     USING_SPACES = True
 except ImportError:
     USING_SPACES = False
@@ -206,7 +205,8 @@ Have a conversation with an AI using your reference voice!
                     lines=2,
                 )
 
-    chatbot_interface = gr.Chatbot(label="Conversation")
+    # Specify the chatbot type to avoid deprecation warnings.
+    chatbot_interface = gr.Chatbot(label="Conversation", type="messages")
 
     with gr.Row():
         with gr.Column():
@@ -231,6 +231,9 @@ Have a conversation with an AI using your reference voice!
         ]
     )
 
+    # Create a dummy hidden output to capture the extra (unused) output.
+    dummy_output = gr.Textbox(visible=False)
+
     @gpu_decorator
     def generate_audio_response(history, ref_audio, ref_text, remove_silence):
         """
@@ -280,7 +283,7 @@ Have a conversation with an AI using your reference voice!
     audio_input_chat.stop_recording(
         process_audio_input,
         inputs=[audio_input_chat, text_input_chat, groq_apikey, chatbot_interface, conversation_state],
-        outputs=[chatbot_interface, conversation_state, None],
+        outputs=[chatbot_interface, conversation_state, dummy_output],
     ).then(
         generate_audio_response,
         inputs=[chatbot_interface, ref_audio_chat, ref_text_chat, remove_silence_chat],
@@ -290,7 +293,7 @@ Have a conversation with an AI using your reference voice!
     text_input_chat.submit(
         process_audio_input,
         inputs=[audio_input_chat, text_input_chat, groq_apikey, chatbot_interface, conversation_state],
-        outputs=[chatbot_interface, conversation_state, None],
+        outputs=[chatbot_interface, conversation_state, dummy_output],
     ).then(
         generate_audio_response,
         inputs=[chatbot_interface, ref_audio_chat, ref_text_chat, remove_silence_chat],
@@ -300,7 +303,7 @@ Have a conversation with an AI using your reference voice!
     send_btn_chat.click(
         process_audio_input,
         inputs=[audio_input_chat, text_input_chat, groq_apikey, chatbot_interface, conversation_state],
-        outputs=[chatbot_interface, conversation_state, None],
+        outputs=[chatbot_interface, conversation_state, dummy_output],
     ).then(
         generate_audio_response,
         inputs=[chatbot_interface, ref_audio_chat, ref_text_chat, remove_silence_chat],