app.py

import streamlit as st
from transformers import AutoTokenizer, pipeline

st.title("Text Summarization App")

# Initialize the summarizer
summarizer = pipeline("summarization", model="pszemraj/led-large-book-summary")
tokenizer = AutoTokenizer.from_pretrained("pszemraj/led-large-book-summary")

# Input text area
article = st.text_area("Enter Text to Summarize:")

# Summarization button
if st.button("Summarize"):
    if article:
        # Perform summarization
        data = summarizer(article, max_length=200, min_length=180, do_sample=False)
        summary = data[0]["summary_text"]

        # Display the summary
        st.subheader("Summary:")
        st.write(summary)
    else:
        st.warning("Please enter some text to summarize.")