text_summarizer / app.py
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Create app.py
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from transformers import pipeline
import gradio as gr
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
def summarize_text(text):
if len(text.strip()) == 0:
return "Please enter text"
summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
return summary[0]['summary_text']
iface = gr.Interface(
fn=summarize_text,
inputs=gr.Textbox(lines=10, placeholder="Paste or type your paragraph here..."),
outputs="text",
title="Summarize Text using Gen AI",
description="Enter a paragraph or article and get a short summary powered by Hugging Face BART model."
)
iface.launch()