app.py

import gradio as gr
from transformers import pipeline

# Load a text summarization pipeline
summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")

def summarize(text):
    summary = summarizer(text, max_length=100, min_length=25, do_sample=False)
    return summary[0]['summary_text']

demo = gr.Interface(
    fn=summarize,
    inputs=gr.Textbox(lines=6, placeholder="Paste an article or paragraph here..."),
    outputs="text",
    title="Simple Text Summarizer",
    description="Summarize long articles using DistilBART (Hugging Face Transformers)"
)

demo.launch()