app.py

import gradio as gr
from transformers import pipeline

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

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

# Gradio interface
interface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, placeholder="Paste your long text here...", label="Input Text"),
    outputs=gr.Textbox(label="Summary"),
    title="📝 Text Summarizer",
    description="Summarize long articles using a pre-trained BART model from Hugging Face."
)

interface.launch()