Update app.py

app.py

@@ -71,7 +71,7 @@ async def chat_with_ai(message):
     
     try:
         response = chat_client.chat_completion(
-            messages=[{"role": "system", "content": "You are a helpful voice assistant. Provide concise and clear responses to user queries.Always try to respond in English if the query is in any other language."}] + chat_history,
+            messages=[{"role": "system", "content": "You are a helpful voice assistant. Provide concise and clear responses to user queries."}] + chat_history,
             max_tokens=800,
             temperature=0.7
         )
@@ -98,62 +98,25 @@ def transcribe_and_chat(audio):
     return response, audio_path
 
 def create_demo():
-    with gr.Blocks(theme=gr.themes.Soft()) as demo:
-        gr.Markdown(
-        """
-        # 🎙️ AI Voice Assistant
-        Welcome to the AI Voice Assistant! Speak your question or command, and I'll respond with both text and voice.
-        """
-        )
+    with gr.Blocks() as demo:
+        gr.Markdown("# AI Voice Assistant")
 
         with gr.Row():
             with gr.Column(scale=1):
-                audio_input = gr.Audio(
-                    type="filepath",
-                    label="🎤 Press 'Record' to Speak",
-                    source="microphone"
-                )
-
-            with gr.Column(scale=2):
-                chat_output = gr.Chatbot(
-                    label="Conversation",
-                    height=300
-                )
-                audio_output = gr.Audio(
-                    label="🔊 AI Voice Response",
-                    autoplay=True
-                )
+                audio_input = gr.Audio(type="filepath", label="Press 'Record' to Speak")
 
-        with gr.Row():
-            clear_button = gr.Button("🧹 Clear Conversation")
+            with gr.Column(scale=1):
+                chat_output = gr.Textbox(label="AI Response")
+                audio_output = gr.Audio(label="AI Voice Response", autoplay=True)
 
-        def process_audio(audio, history):
+        def process_audio(audio):
             logging.info(f"Received audio: {audio}")
             if audio is None:
-                return history + [["No audio detected. Please try recording again.", None]], None, None
-            user_message, audio_path = transcribe_and_chat(audio)
-            assistant_response = f"You said: {user_message}\n\nMy response: {audio_path[0]}" if isinstance(audio_path, tuple) else f"You said: {user_message}\n\nMy response: {audio_path}"
-            history.append((user_message, assistant_response))
-            logging.info(f"Response: {assistant_response}, Audio path: {audio_path}")
-            return history, audio_path, None  # Return None to clear the audio input
-
-        def clear_conversation():
-            global chat_history
-            chat_history = []
-            return None, None, None
-
-        audio_input.change(
-            process_audio,
-            inputs=[audio_input, chat_output],
-            outputs=[chat_output, audio_output, audio_input]
-        )
+                return "No audio detected. Please try recording again.", None, None
+            response, audio_path = transcribe_and_chat(audio)
+            logging.info(f"Response: {response}, Audio path: {audio_path}")
+            return response, audio_path, None  # Return None to clear the audio input
 
-        clear_button.click(
-            clear_conversation,
-            outputs=[chat_output, audio_output, audio_input]
-        )
-
-        # Custom JavaScript for auto-submission and audio playback
         demo.load(None, js="""
             function() {
                 document.querySelector("audio").addEventListener("stop", function() {
@@ -182,6 +145,8 @@ def create_demo():
             }
         """)
 
+        audio_input.change(process_audio, inputs=[audio_input], outputs=[chat_output, audio_output, audio_input])
+
     return demo
 
 # Launch the Gradio app