app.py

import gradio as gr
from transformers import pipeline

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

#function of summarize
def summarize_text(text):
    summary = summarizer(text, max_length=100, min_length=10, do_sample=False)
    return summary[0]['summary_text']

#gradio interface
demo = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(label="Enter your text:", lines=10, placeholder="Paste a paragraph here..."),
    outputs=gr.Textbox(label="Summarized Text", lines=3),
    title="Text Summarization App",

)

# Launch the app
if __name__ == "__main__":
    demo.launch()