app.py

import streamlit as st
from transformers import pipeline

classifier = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
def main():
    #Token Sample
    st.title("Summarize Classification ⋆·˚ ༘ *")

    with st.form("text_field"):
        text = st.text_area('enter some text:')
        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Done!")
        if clicked:
          results = classifier([text])
          st.json(results)

if __name__ == "__main__":
    main()