app.py

from transformers import pipeline
import gradio as gr

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

def summarize(text):
    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
    return summary[0]['summary_text']

gr.Interface(
    fn=summarize,
    inputs=gr.Textbox(lines=10, label="Enter text to summarize"),
    outputs="text",
    title="Text Summarizer",
    description="Summarize long text using a Hugging Face Transformers model."
).launch()