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import gradio as gr |
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import pyttsx3 |
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import speech_recognition as sr |
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from utils.state_management import state |
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from utils.excel_operations import read_excel |
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def voice_assistant(): |
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recognizer = sr.Recognizer() |
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engine = pyttsx3.init() |
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def speak_response(text): |
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engine.say(text) |
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engine.runAndWait() |
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def process_voice_command(audio): |
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try: |
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command = recognizer.recognize_google(audio) |
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if "menu" in command.lower(): |
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return fetch_menu() |
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elif "cart" in command.lower(): |
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return view_cart() |
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elif "place order" in command.lower(): |
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return place_order() |
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else: |
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return "Sorry, I didn't understand that command." |
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except Exception as e: |
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return f"Error processing voice command: {str(e)}" |
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def fetch_menu(): |
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if not state.get("user"): |
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return "Please log in first to view the menu." |
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menu = read_excel("data/menu.xlsx") |
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menu_list = "\n".join([f"{item['Name']} - {item['Price']} ₹" for item in menu]) |
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speak_response(menu_list) |
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return menu_list |
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def view_cart(): |
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cart = state.get("cart", []) |
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if not cart: |
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return "Your cart is empty." |
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cart_details = "\n".join([f"{item['Item']} - {item['Spice Level']}" for item in cart]) |
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speak_response(cart_details) |
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return cart_details |
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def place_order(): |
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if not state.get("cart"): |
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return "Your cart is empty." |
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speak_response("Your order has been placed successfully!") |
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state["cart"] = [] |
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return "Order placed successfully!" |
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def record_and_process_voice(): |
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with sr.Microphone() as source: |
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speak_response("Listening for your command...") |
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audio = recognizer.listen(source) |
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return process_voice_command(audio) |
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with gr.Group(): |
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gr.Markdown("### Voice Assistant") |
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gr.Button("Start Listening").click(record_and_process_voice, outputs="Response") |
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