app.py

import gradio as gr
pip install transformers

from transformers import pipeline

# Load the summarization pipeline
summarizer = pipeline("summarization", model="t5-small", tokenizer="t5-small")

# Function for text summarization
def summarize_text(text):
    if text:
        summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
        return summary[0]['summary_text']
    return "Please enter text to summarize."

# Create a Gradio interface
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.inputs.Textbox(lines=10, label="Enter text to summarize"),
    outputs=gr.outputs.Textbox(label="Summary"),
    title="Text Summarization",
    description="Use the model to summarize text."
)

# Launch the Gradio interface
iface.launch()