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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() | |