app.py

import streamlit as st
import pandas as pd
#import torch
from transformers import pipeline

summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent"

st.title("Text Summarization  🤓")

st.markdown("This is a Web application that Summarizes Text 😎")
text=st.text_area('Enter Text')
    
    
summarize = st.button("Summarize") 

    # Check to see if a file has been uploaded
if summarize:
    st.success("Summarizing Text, Please wait...")
        # If it has then do the following:
    result=summarizer(text,min_length=100, max_length=400)
    st.header(result)