Update app.py

app.py

@@ -8,7 +8,7 @@ import numpy as np
 # Initialize the conversation history globally
 conversation_history = []
 
-@spaces.GPU(duration=20)
+@spaces.GPU(duration=120)
 def transcribe_and_respond(audio_file, chat_history):
     try:
         pipe = transformers.pipeline(
@@ -51,23 +51,24 @@ def transcribe_and_respond(audio_file, chat_history):
         return chat_history_for_display, turns  # Return the formatted chat history for display and the updated history
 
     except Exception as e:
-        return f"Error: {str(e)}"
+        return f"Error: {str(e)}", chat_history  # Ensure history is returned even on error
 
 # Define the Gradio interface
 iface = gr.Interface(
     fn=transcribe_and_respond,
     inputs=[
-        gr.Audio(sources="microphone", type="filepath", label="Your Audio (Microphone)"), 
+        gr.Audio(source="microphone", type="filepath", label="Your Audio (Microphone)"), 
         gr.State([])  # Hidden state to maintain conversation history
     ],
     outputs=[
         gr.Chatbot(label="Conversation History"),  # Display the conversation
         gr.State([])  # Hidden state to keep track of the updated conversation history
     ],
-    title="🎙️ AI Chat with Live Transcription",
-    description="Talk to the AI through your microphone, and it will respond conversationally, keeping the entire conversation visible.",
-    live=True,
+    title="Shuka demo",
+    description="shuka live demo",
+    live=True,  # Enable live mode for real-time interaction
     allow_flagging="auto",
+#    enable_queue=True
 )
 
 if __name__ == "__main__":