app.py

import streamlit as st
from transformers import pipeline

# Initialize summarization pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

st.title("Text Summarization App")
st.write("Summarize long articles or texts quickly!")

text = st.text_area("Enter text to summarize:", placeholder="Paste your text here...")
max_length = st.slider("Select maximum summary length:", 50, 300, 100)

if st.button("Summarize"):
    if not text.strip():
        st.error("Please provide some text to summarize.")
    else:
        with st.spinner("Generating summary..."):
            summary = summarizer(text, max_length=max_length, min_length=25, do_sample=False)
            st.subheader("Summary:")
            st.write(summary[0]["summary_text"])