app.py

import streamlit as st
from datetime import datetime
import time
from transformers import pipeline

# Initialize the text-to-speech pipeline (Hugging Face Model)
tts = pipeline("text-to-speech", model="facebook/tts_transformer-en-ljspeech")

def get_current_time():
    # Get the current time in HH:MM:SS format
    now = datetime.now()
    current_time = now.strftime("%H:%M:%S")
    return current_time

def clock_app():
    st.title("Hugging Face Clock App")

    # Display current time
    time_display = st.empty()

    while True:
        # Get the current time
        current_time = get_current_time()

        # Update the displayed time
        time_display.text(f"Current Time: {current_time}")
        
        # Optionally, use the Hugging Face TTS model to announce the time
        tts(f"The current time is {current_time}")

        # Wait for 1 second before updating the time
        time.sleep(1)

# Run the Streamlit app
if __name__ == "__main__":
    clock_app()