Update app.py

app.py

@@ -12,59 +12,66 @@ def load_menu():
     except Exception as e:
         raise ValueError(f"Error loading menu file: {e}")
 
-# Filter menu items based on preference
-def get_menu_items():
-    menu_data = load_menu()
-    menu_details = ""
-    for _, item in menu_data.iterrows():
-        menu_details += f"{item['Dish Name']} - ${item['Price ($)']}. "
-    return menu_details
-
-# Text-to-speech response
-def generate_tts_response(text):
+# Generate TTS response
+async def generate_tts_response(text):
     communicate = edge_tts.Communicate(text)
     with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
         tmp_path = tmp_file.name
-        asyncio.run(communicate.save(tmp_path))
+        await communicate.save(tmp_path)
     return tmp_path
 
-# Process user input and respond
-def process_input(audio_file):
-    user_text = "menu"  # Assume Whisper transcribes the input here
+# Welcome Note Handler
+async def play_welcome_note():
+    welcome_text = "Hello, welcome to Biryani Hub. What do you want to order?"
+    return await generate_tts_response(welcome_text), "Hello, welcome to Biryani Hub. What do you want to order?"
+
+# Process customer input
+async def process_customer_input(audio_file):
+    # Simulated transcription (Replace with actual transcription logic)
+    transcription = "menu"  # This should be replaced with audio transcription logic
+
+    if "menu" in transcription.lower():
+        menu_data = load_menu()
+        menu_details = "Here is our menu: " + ", ".join(
+            f"{item['Dish Name']} - ${item['Price ($)']}" for _, item in menu_data.iterrows()
+        )
+        tts_path = await generate_tts_response(menu_details)
+        return tts_path, menu_details
+
+    elif "veg samosa" in transcription.lower():
+        response_text = "Order confirmed for Veg Samosa. It has been added to your cart."
+        tts_path = await generate_tts_response(response_text)
+        return tts_path, response_text
 
-    if "menu" in user_text.lower():
-        menu_details = get_menu_items()
-        response_text = f"Here are the menu details: {menu_details}"
     else:
         response_text = "I'm sorry, I didn't understand that. Please try again."
-
-    tts_path = generate_tts_response(response_text)
-    return tts_path, response_text
+        tts_path = await generate_tts_response(response_text)
+        return tts_path, response_text
 
 # Build Gradio app
 def app():
     with gr.Blocks() as demo:
         gr.Markdown("# Welcome to the Menu")
 
-        # Audio input and output
-        audio_input = gr.Audio(label="Click the microphone to start", type="filepath")
-        audio_output = gr.Audio(label="Assistant Response", autoplay=True)
+        # Welcome note audio output
+        welcome_audio_output = gr.Audio(label="Welcome Note", autoplay=True)
 
-        # Transcription
-        transcription = gr.Textbox(label="Transcription", placeholder="Detected text will appear here")
+        # Customer audio input and response
+        customer_audio_input = gr.Audio(label="Click to speak your order", type="filepath")
+        customer_audio_output = gr.Audio(label="Assistant Response", autoplay=True)
+        transcription_output = gr.Textbox(label="Transcription", placeholder="Detected text will appear here")
 
-        # Cart output
+        # Cart details
         cart_output = gr.Textbox(label="Cart", placeholder="Your cart details will appear here")
 
-        # When microphone is clicked, greet the user
-        def greet_user():
-            welcome_message = "Hello, welcome to Biryani Hub. What do you want to order?"
-            tts_path = generate_tts_response(welcome_message)
-            return tts_path, welcome_message
+        # Play welcome note
+        welcome_audio_output.update(value=asyncio.run(play_welcome_note())[0])
 
-        # Add click event to greet user
-        audio_input.change(
-            greet_user, inputs=[], outputs=[audio_output, transcription]
+        # Process customer input
+        customer_audio_input.change(
+            lambda audio: asyncio.run(process_customer_input(audio)),
+            inputs=[customer_audio_input],
+            outputs=[customer_audio_output, transcription_output]
         )
 
     return demo