app.py

import streamlit as st
from transformers import pipeline

# Force PyTorch backend
summarizer = pipeline("summarization", model="facebook/bart-large-cnn", framework="pt")

st.title("Text Summarization App")

# Input text
text = st.text_area("Enter your text:", "")

if st.button("Summarize"):
    if text:
        summary = summarizer(text, max_length=50, min_length=10, do_sample=False)
        st.subheader("Summary:")
        st.write(summary[0]["summary_text"])
    else:
        st.warning("Please enter some text.")