Update app.py

app.py

@@ -1,7 +1,106 @@
 import gradio as gr
 import pandas as pd
 import edge_tts
-import asyncio
+import asynciimport gradio as gr
+from gtts import gTTS
+import os
+import tempfile
+import json
+import speech_recognition as sr
+
+# Store cart in a temporary storage
+cart = []
+
+# Define the menu items dynamically
+menu_items = {
+    "Pizza": 10.99,
+    "Burger": 8.49,
+    "Pasta": 12.99,
+    "Salad": 7.99,
+    "Soda": 2.49
+}
+
+def generate_voice_response(text):
+    tts = gTTS(text)
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
+    temp_file.close()
+    tts.save(temp_file.name)
+    return temp_file.name
+
+def calculate_total(cart):
+    return sum(menu_items[item] for item in cart)
+
+def restaurant_voice_assistant(audio, state_json):
+    global cart
+    state = json.loads(state_json) if state_json else {}
+    response = ""
+    voice_path = None
+
+    # Convert audio input to text
+    if audio:
+        recognizer = sr.Recognizer()
+        with sr.AudioFile(audio) as source:
+            try:
+                input_text = recognizer.recognize_google(recognizer.record(source))
+            except sr.UnknownValueError:
+                input_text = ""
+    else:
+        input_text = ""
+
+    if not state.get("menu_shown", False):
+        # Show menu dynamically
+        response = "Welcome to our restaurant! Here is our menu:\n"
+        for item, price in menu_items.items():
+            response += f"{item}: ${price:.2f}\n"
+        response += "\nPlease tell me the item you would like to add to your cart."
+        state["menu_shown"] = True
+    elif any(item.lower() in input_text.lower() for item in menu_items):
+        # Check if input matches a menu item
+        for item in menu_items:
+            if item.lower() in input_text.lower():
+                cart.append(item)
+                total = calculate_total(cart)
+                response = f"{item} has been added to your cart. Your current cart includes:\n"
+                for cart_item in cart:
+                    response += f"- {cart_item}: ${menu_items[cart_item]:.2f}\n"
+                response += f"\nTotal: ${total:.2f}. Would you like to add anything else?"
+                break
+    elif "menu" in input_text.lower():
+        response = "Here is our menu again:\n"
+        for item, price in menu_items.items():
+            response += f"{item}: ${price:.2f}\n"
+        response += "\nWhat would you like to add to your cart?"
+    elif "final order" in input_text.lower() or "submit order" in input_text.lower():
+        if cart:
+            total = calculate_total(cart)
+            response = "Your final order includes:\n"
+            for item in cart:
+                response += f"- {item}: ${menu_items[item]:.2f}\n"
+            response += f"\nTotal: ${total:.2f}.\nThank you for ordering!"
+            cart = []  # Clear cart after finalizing order
+        else:
+            response = "Your cart is empty. Would you like to order something?"
+    else:
+        response = "I didn’t quite catch that. Please tell me what you’d like to order."
+
+    voice_path = generate_voice_response(response)
+    return response, voice_path, json.dumps(state)
+
+with gr.Blocks() as demo:
+    state = gr.State(value=json.dumps({}))
+
+    with gr.Row():
+        user_audio = gr.Audio(type="filepath", label="Your Voice Input")
+        output_text = gr.Textbox(label="Response Text")
+
+    with gr.Row():
+        voice_output = gr.Audio(label="Response Audio", autoplay=True)
+
+    # Automatically process audio when recording stops
+    user_audio.change(restaurant_voice_assistant, inputs=[user_audio, state], outputs=[output_text, voice_output, state])
+
+demo.launch()
+o
 import tempfile
 
 # Load menu data