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import gradio as gr | |
from transformers import pipeline | |
# Load the text summarization pipeline from Hugging Face Transformers | |
summarizer = pipeline("summarization") | |
def summarize_text(input_text): | |
summary = summarizer(input_text, max_length=150, min_length=30, do_sample=False)[0]['summary_text'] | |
return summary | |
# Interface for the Gradio app | |
iface = gr.Interface( | |
fn=summarize_text, | |
inputs=gr.inputs.Textbox(lines=5, label="Input Text"), | |
outputs=gr.outputs.Textbox(label="Summary"), | |
title="Text Summarizer", | |
description="Enter a piece of text, and the app will provide a summary.", | |
) | |
# Launch the Gradio app | |
iface.launch() | |