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Update app.py
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import gradio as gr
import sounddevice as sd
import numpy as np
from scipy.io.wavfile import write
import tempfile
from gtts import gTTS
import os
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 record_audio(duration=5):
# Record audio for a fixed duration
samplerate = 44100 # Sample rate
print("Recording...")
audio = sd.rec(int(samplerate * duration), samplerate=samplerate, channels=1, dtype="int16")
sd.wait() # Wait until recording is finished
temp_wav = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
write(temp_wav.name, samplerate, audio)
print("Recording finished.")
return temp_wav.name
def process_audio(audio_path, state_json):
global cart
state = json.loads(state_json) if state_json else {}
response = ""
# Convert audio to text
recognizer = sr.Recognizer()
with sr.AudioFile(audio_path) as source:
try:
input_text = recognizer.recognize_google(recognizer.record(source)).lower()
except sr.UnknownValueError:
input_text = ""
if not state.get("menu_shown", False):
# Show menu dynamically
response = "Welcome to our restaurant! Here is our menu:\n"
for item in menu_items.keys():
response += f"{item}\n"
response += "\nPlease tell me the item you would like to add to your cart or ask for the price of an item."
state["menu_shown"] = True
elif "price of" in input_text:
# Handle price queries
matched_items = [item for item in menu_items if item.lower() in input_text]
if len(matched_items) == 1:
item = matched_items[0]
response = f"The price of {item} is ${menu_items[item]:.2f}."
elif len(matched_items) > 1:
response = f"I detected multiple items in your input: {', '.join(matched_items)}. Please ask for the price of one item at a time."
else:
response = "I couldn't find that item on the menu. Please ask for an item available in the menu."
elif any(item.lower() in input_text for item in menu_items):
# Match the input text with menu items
matched_items = [item for item in menu_items if item.lower() in input_text and item not in state.get("current_items", [])]
if len(matched_items) == 1:
item = matched_items[0]
cart.append(item)
state.setdefault("current_items", []).append(item)
response = f"{item} has been added to your cart. Your current cart includes:\n"
for cart_item in cart:
response += f"- {cart_item}\n"
response += "\nWould you like to add anything else?"
elif len(matched_items) > 1:
response = f"I detected multiple items in your input: {', '.join(matched_items)}. Please mention one item at a time."
elif "menu" in input_text:
response = "Here is our menu again:\n"
for item in menu_items.keys():
response += f"{item}\n"
response += "\nWhat would you like to add to your cart or ask about?"
elif "final order" in input_text or "submit order" in input_text:
if cart:
total = calculate_total(cart)
response = "Your final order includes:\n"
for item in cart:
response += f"- {item}\n"
response += f"\nTotal amount: ${total:.2f}.\nThank you for ordering!"
cart = [] # Clear cart after finalizing order
state["current_items"] = [] # Clear current cycle tracking
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 or ask about."
voice_path = generate_voice_response(response)
return response, voice_path, json.dumps(state)
def record_and_process(state_json):
audio_path = record_audio()
return process_audio(audio_path, state_json)
with gr.Blocks() as demo:
state = gr.State(value=json.dumps({}))
with gr.Row():
button = gr.Button("Start Recording")
output_text = gr.Textbox(label="Response Text", interactive=False)
with gr.Row():
voice_output = gr.Audio(label="Response Audio", autoplay=True)
button.click(record_and_process, inputs=state, outputs=[output_text, voice_output, state])
demo.launch()