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):
    summary = summarizer(text, max_length=150, min_length=50, do_sample=False)
    return summary[0]['summary_text']

# Create a Gradio Interface
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=5, placeholder="Enter text to summarize"),
    outputs="text",
    title="AI Summarizer",
    description="Enter a long paragraph, and the AI will summarize it for you.",
)

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