app.py

import gradio as gr
from transformers import pipeline

# Initialize the summarization pipeline with a specified model
pipe = pipeline("summarization", model="t5-small")

# Define a function for the summarization
def summarize(text):
    return pipe(text)[0]['summary_text']

# Create a Gradio interface
interface = gr.Interface(
    fn=summarize,
    inputs="text",
    outputs="text",
    title="Summarize Lengthy Texts - M Fahad Bashir ",
    description="Enter text to t a summary."
)

# Launch the interface
interface.launch(share=True)