app.py

import streamlit as st
from transformers import pipeline
import logging

# Setup logging
def setup_logging():
    logging.basicConfig(
        level=logging.INFO,
        format='%(asctime)s - %(levelname)s - %(message)s',
        handlers=[
            logging.StreamHandler()
        ]
    )

def main():
    setup_logging()
    logging.info("Starting the Streamlit app.")

    # Initialize the translation pipeline for English to Hinglish
    translator = pipeline("translation", model="surajp/eng_to_hinglish")  # Replace with your desired model

    # Streamlit UI
    st.title("English to Hinglish Translator")
    st.write("Type or paste your English text below, and get the Hinglish translation.")

    text = st.text_area("Enter your English text here:", placeholder="Type here...")

    if st.button("Translate"):
        try:
            if text:
                logging.info("Translating English text to Hinglish.")
                result = translator(text, max_length=200)
                translation = result[0]['translation_text'] if result else "No translation available."
                st.text_area("Hinglish Translation:", translation, height=200)
                logging.info("Translation completed successfully.")
            else:
                st.warning("Please enter text to translate.")
        except Exception as e:
            logging.error(f"Error during translation: {e}")
            st.error("An error occurred during translation. Please check the logs for more details.")

    logging.info("Closing the Streamlit app.")

if __name__ == "__main__":
    main()