app.py

import gradio as gr
from transformers import pipeline

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


def summarize_text(text):
    if len(text.strip()) == 0:
        return "Please enter some text to summarize."
    
    summary = summarizer(text, max_length=100, min_length=10, do_sample=False)
    return summary[0]['summary_text']


iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=5, placeholder="Enter a long text here...", label="Input Text"),
    outputs=gr.Textbox(label="Summarized Text"),
    title="Text Summarization App",
    description="Enter a long piece of text and click the button to summarize it using the BART model.",
    allow_flagging="never"
)


iface.launch()