translator / app.py
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Create app.py
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import gradio as gr
from transformers import pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
def summarize_text(input_text):
summary = summarizer(input_text, max_length=150, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True)
return summary[0]['summary_text']
iface = gr.Interface(
fn=summarize_text,
inputs=gr.Textbox(),
outputs=gr.Textbox(),
live=True,
title="Text Summarization App",
description="Enter a longer document, and the model will generate a summary.",
)
iface.launch()