app.py

import gradio as gr
from transformers import pipeline

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

# Function
def summarize_text(text):
    if len(text.strip()) == 0:
        return "Please enter some text."

    result = summarizer(
        text,
        max_length=120,
        min_length=30,
        do_sample=False
    )

    return result[0]["summary_text"]

# Gradio UI
interface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(
        lines=15,
        placeholder="Paste article here..."
    ),
    outputs="text",
    title="Article Summarizer",
    description="Summarize long articles using BART"
)

interface.launch(share=True)