app.py

import gradio as gr
from transformers import pipeline

# Load the summarization pipeline with facebook/bart-large-cnn
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
demo = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, label="Enter Text to Summarize"),
    outputs=gr.Textbox(label="Summary"),
    title="Text Summarizer using facebook/bart-large-cnn",
    description="Paste any long text and get a short summary using BART model from Facebook."
)

demo.launch()