app.py

import gradio as gr
from transformers import pipeline

# Initialize the summarization pipeline with a specified model
text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")

def summarize_text(input_text):
    """Function to summarize the input text."""
    summary_result = text_summary(input_text)
    return summary_result[0]['summary_text']

# Close any existing Gradio interfaces
gr.close_all()

# Define a Gradio interface for the summarization function
demo = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(label="Input text to summarize", lines=10, placeholder="Enter your text here..."),
    outputs=gr.Textbox(label="Summarized text", lines=4),
    title="Text Summarizer",
    description="This application summarizes text. Just paste your text and get a summary!"
)

# Launch the Gradio interface
demo.launch()