app.py

import streamlit as st
from transformers import pipeline

def summarize_text(text):
    unmasker = pipeline('fill-mask', model='distilbert-base-uncased')
    text_input = unmasker(text, do_sample=True)[0]['text_input']
    return text_input

def main():
    user_input = st.text_area("Input Text Here")
    if st.button("Summarize"):
        summary = summarize_text(user_input)
        st.write("Summary:")
        st.write(summary)

if __name__ == "__main__":
    main()