app.py

import gradio as gr
from transformers import pipeline

# Initialize the summarization pipeline
summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")

# Define the summarization function
def summarize(text):
    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
    return summary[0]['summary_text']

# Create the Gradio interface
interface = gr.Interface(fn=summarize, inputs="text", outputs="text", title="Text Summarizer")

# Launch the application
interface.launch()