app.py

# This Gradio app simulates a smart assistant similar to Alexa, but with the capabilities of LLaMA 3.2.
# The assistant listens for the wake word "Hey Butler" and responds to user commands.
# It can also sync with Bluetooth devices and perform tasks based on user input.
# The assistant can be trained after each conversation to improve its responses.

import gradio as gr
import numpy as np
import transformers_js_py  # Assuming this is a fictional library for LLaMA 3.2

# Initialize the LLaMA 3.2 model
model = transformers_js_py.LLaMA32Model()

# Function to simulate the assistant's response
def assistant_response(user_input, history):
    # Check if the wake word is present
    if "Hey Butler" in user_input:
        # Generate a response using the LLaMA 3.2 model
        response = model.generate_response(user_input, history)
        # Simulate Bluetooth sync
        sync_bluetooth()
        return response
    else:
        return "Please say 'Hey Butler' to activate the assistant."

# Function to simulate Bluetooth sync
def sync_bluetooth():
    # Simulate Bluetooth sync (this is a placeholder function)
    print("Bluetooth synced successfully.")

# Function to train the model after each conversation
def train_model(user_input, assistant_response, history):
    # Train the model with the new conversation data
    model.train(user_input, assistant_response, history)

# Define the Gradio interface
with gr.Blocks() as demo:
    # Create a chatbot component
    chatbot = gr.Chatbot(type="messages")
    # Create a textbox for user input
    user_input = gr.Textbox(label="User Input")
    # Create a button to clear the chat history
    clear_button = gr.Button("Clear History")

    # Define the event listener for user input
    user_input.submit(
        assistant_response,
        inputs=[user_input, chatbot],
        outputs=[chatbot],
        queue=False
    ).then(
        train_model,
        inputs=[user_input, chatbot, chatbot],
        outputs=None,
        queue=False
    )

    # Define the event listener for the clear button
    clear_button.click(
        lambda: None,
        None,
        chatbot,
        queue=False
    )

# Launch the Gradio app
if __name__ == "__main__":
    demo.launch(show_error=True)