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Update app.py
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app.py
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@@ -1,10 +1,9 @@
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import gradio as gr
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from gtts import gTTS
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import os
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import speech_recognition as sr
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from tempfile import NamedTemporaryFile
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import threading
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import time
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# Initialize the recognizer
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recognizer = sr.Recognizer()
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@@ -19,21 +18,21 @@ cart = []
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# Helper Functions
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def text_to_speech(text):
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"""Convert text to speech and
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tts = gTTS(text=text, lang='en')
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audio_file = NamedTemporaryFile(delete=False, suffix=".mp3")
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tts.save(audio_file.name)
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return audio_file.name
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def read_menu():
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"""Generate
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menu_text = "Here is the menu:
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for category, items in menu_items.items():
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menu_text += f"{category.capitalize()}:
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menu_text += "Please tell me the items you want to add to your cart."
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return menu_text
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# Command Processing
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def process_audio_command(audio_path):
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"""Process the user's audio command."""
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global cart
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audio = recognizer.record(source)
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command = recognizer.recognize_google(audio).lower()
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except Exception as e:
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return "Sorry, I
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if "menu" in command:
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return read_menu()
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for category, items in menu_items.items():
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for item in items:
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if item.lower() in command:
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cart.append(item)
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return f"{item} has been added to your cart."
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if "cart" in command:
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if not cart:
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return "Your cart is empty."
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else:
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return "Your cart contains: " + ", ".join(cart)
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if "submit" in command or "finalize" in command:
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if not cart:
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return "Your cart is empty. Add some items before submitting."
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return "Sorry, I didn't understand that. Please try again."
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# Continuous
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def continuous_conversation():
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"""Continuously listen to and respond to user commands."""
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while True:
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with open(temp_audio.name, "wb") as f:
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f.write(audio.get_wav_data())
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response = process_audio_command(temp_audio.name)
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print(response)
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os.system(f"mpg123 {audio_response}")
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except Exception as e:
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print("Error processing audio input
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# Gradio Interface
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with gr.Blocks() as app:
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gr.Markdown("# Voice-Activated Restaurant Menu System")
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gr.Markdown("Speak your command to interact with the menu dynamically.")
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with gr.Row():
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audio_input = gr.Audio(label="Speak Your Command", type="filepath")
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response_text = gr.Textbox(label="Assistant Response")
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audio_output = gr.Audio(label="Assistant Voice Response")
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def handle_conversation(audio_path):
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response = process_audio_command(audio_path)
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return response, text_to_speech(response)
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audio_input.change(handle_conversation, inputs=audio_input, outputs=[response_text, audio_output])
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if __name__ == "__main__":
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import os
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import time
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import threading
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import speech_recognition as sr
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from gtts import gTTS
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from tempfile import NamedTemporaryFile
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# Initialize the recognizer
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recognizer = sr.Recognizer()
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# Helper Functions
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def text_to_speech(text):
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"""Convert text to speech and play the response."""
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tts = gTTS(text=text, lang='en')
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audio_file = NamedTemporaryFile(delete=False, suffix=".mp3")
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tts.save(audio_file.name)
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os.system(f"mpg123 {audio_file.name}")
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return audio_file.name
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def read_menu():
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"""Generate the menu text."""
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menu_text = "Here is the menu: "
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for category, items in menu_items.items():
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menu_text += f"{category.capitalize()}: " + ", ".join(items) + ". "
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menu_text += "Please tell me the items you want to add to your cart."
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return menu_text
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def process_audio_command(audio_path):
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"""Process the user's audio command."""
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global cart
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audio = recognizer.record(source)
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command = recognizer.recognize_google(audio).lower()
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except Exception as e:
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return "Sorry, I couldn't understand that. Could you repeat?"
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# Menu Request
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if "menu" in command:
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return read_menu()
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# Adding Items to the Cart
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for category, items in menu_items.items():
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for item in items:
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if item.lower() in command:
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cart.append(item)
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return f"{item} has been added to your cart."
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# Cart Inquiry
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if "cart" in command:
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if not cart:
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return "Your cart is empty."
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else:
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return "Your cart contains: " + ", ".join(cart)
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# Submitting Order
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if "submit" in command or "finalize" in command:
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if not cart:
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return "Your cart is empty. Add some items before submitting."
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return "Sorry, I didn't understand that. Please try again."
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# Continuous Listening and Responding
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def continuous_conversation():
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"""Continuously listen to and respond to user commands."""
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while True:
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with open(temp_audio.name, "wb") as f:
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f.write(audio.get_wav_data())
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response = process_audio_command(temp_audio.name)
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print("Assistant:", response)
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text_to_speech(response)
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except Exception as e:
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print("Error processing audio input:", e)
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text_to_speech("I encountered an error. Please try again.")
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if __name__ == "__main__":
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print("Starting Voice-Activated Restaurant Menu System...")
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text_to_speech("Welcome to the voice-activated restaurant menu system. You can ask for the menu, add items to your cart, check your cart, or submit your order.")
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continuous_conversation()
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