import gradio as gr
from gtts import gTTS
import os

# Menu data from the second image (hardcoded for simplicity)
menu = {
    "Appetizer": ["Veg Samosas", "Cut Mirchi", "Onion", "Spinach", "Mixed Vegetable"],
    "Pakodas": ["Veg Pakoda", "Chicken Pakoda", "Fish Pakoda"],
    "Manchurian": ["Vegetable", "Paneer", "Chicken", "Fish", "Jhinga"],
    "Chilly": ["Gobi", "Paneer", "Chicken", "Fish", "Shrimp"],
    "Chef's Special": ["Murgh (Chicken)", "Gosht (Goat)", "Jhinga (Shrimp)", "Fish Fry"],
    "Vegetarian Entree": ["Dal Fry", "Dal Makhani", "Channa Masala", "Aloo Gobi Masala", "Saag Paneer"],
    "Chettinad": ["Egg", "Murgh (Chicken)", "Gosht (Goat)", "Jhinga (Shrimp)", "Crab"],
    "Butter Masala": ["Chicken", "Shrimp", "Gosht (Goat)"]
}

# Function to speak a text using Google Text-to-Speech (gTTS)
def speak(text):
    tts = gTTS(text=text, lang='en')
    tts.save("output.mp3")
    # Do not try to play the audio, just save it
    # os.system("mpg321 output.mp3")  # Removed, as it is not supported in Hugging Face

# Function to process the order and handle confirmation
def process_order(order, confirmation):
    response = "You have ordered the following: "
    order = order.lower()

    # Check for matching menu items
    ordered_items = []
    for category, items in menu.items():
        for item in items:
            if item.lower() in order:
                ordered_items.append(item)

    if ordered_items:
        response += ', '.join(ordered_items) + ". Is that correct?"
        if confirmation.lower() == "yes":
            speak("Thank you for your order. It will be ready shortly!")
            return "Order confirmed. " + response
        else:
            speak("Please tell me again what you'd like to order.")
            return "Order not confirmed. Please try again."
    else:
        speak("Sorry, I couldn't find any items matching your order. Can you try again?")
        return "Sorry, I couldn't find any items matching your order. Can you try again?"

# Create Gradio interface
def start_assistant(order, confirmation):
    return process_order(order, confirmation)

# Gradio interface setup
iface = gr.Interface(fn=start_assistant, inputs=["text", "text"], outputs="text", 
                     live=True, 
                     title="Voice Food Ordering Assistant", 
                     description="Type your food order and confirm your order.")

# Launch the interface
iface.launch()