from transformers import pipeline
unmasker = pipeline('fill-mask', model='distilbert-base-uncased')
unmasker("Hello I'm a [MASK] model.")


import streamlit as st
from transformers import pipeline

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

def main():
    st.title("Text Summarization App")
    st.write("Enter your text below:")
    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()