import gradio as gr
from transformers import pipeline

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

def summarize_text(text):

    result = summarizer(
        text,
        max_length=200,
        min_length=40,
        do_sample=False
    )

    return result[0]["summary_text"]

app = gr.Interface(
    fn=summarize_text,

    inputs=gr.Textbox(
        lines=20,
        label="Input Text"
    ),

    outputs=gr.Textbox(
        lines=10,
        label="Generated Summary"
    ),

    title="📚AI Text Summarizer",
    description="""Generate concise summaries using Hugging Face Transformers.
    Built with Gradio and BART-Large-CNN."""
)

app.launch()