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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() | |