import gradio as gr
from transformers import pipeline

pipe = pipeline("summarization", model="facebook/bart-large-cnn")

def summarize_text(text):
    summary = pipe(text, max_length=150, min_length=40, do_sample=False)
    return summary[0]['summary_text']

title = "Text Summarization with BART"
description = "Provide a block of text, and the BART model will summarize it."

interface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, label="Input Text"),
    outputs=gr.Textbox(label="Summarized Text"),
    title=title,
    description=description,
)

if __name__ == "__main__":
    interface.launch()