app.py

import gradio as gr
from transformers import pipeline

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

def summarize_text(text):
    if not text.strip():
        return "Please enter some text!"
    summary = summarizer(text, max_length=100, min_length=25, do_sample=False)
    return summary[0]['summary_text']

iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, placeholder="Paste your text here..."),
    outputs="text",
    title="📝 Text Summarizer",
    description="Paste any text and get a short, easy-to-read summary instantly using AI!"
)

iface.launch()