app.py

import streamlit
from transformers import pipeline
from transformers import logging


pipe = pipeline("summarization")

logging.set_verbosity_warning()
logging.set_verbosity_error()

text = streamlit.text_area("enter text to summarize")

if text:
    summary = pipe(text)[0]['summary_text']
    streamlit.json(summary)