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ghostai1/CPU-only-TextSummarization

sourceHugging Faceapache-2.0updated 3h agoView on Hugging Face
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1# 📝 Text Summarization Demo | CPU-only HF Space2 3from transformers import pipeline4import gradio as gr5 6# Load a distilled BART summarization model on CPU7summarizer = pipeline(8    "summarization",9    model="sshleifer/distilbart-cnn-12-6",10    device=-1    # force CPU11)12 13def summarize(text: str, max_length: int, min_length: int):14    if not text.strip():15        return ""16    # run the summarization pipeline17    summary = summarizer(18        text,19        max_length=max_length,20        min_length=min_length,21        do_sample=False22    )[0]["summary_text"]23    return summary24 25with gr.Blocks(title="📝 Text Summarization") as demo:26    gr.Markdown(27        "# 📝 Text Summarizer\n"28        "Paste in any article, report, or long-form text and get a concise summary—**100% CPU**."29    )30 31    with gr.Row():32        text_in    = gr.Textbox(lines=10, placeholder="Enter your text here…", label="Input Text")33        max_slider = gr.Slider(20, 200, value=100, step=10, label="Max Summary Length")34        min_slider = gr.Slider(10, 100, value=30, step=5, label="Min Summary Length")35 36    run_btn    = gr.Button("Summarize 🔍", variant="primary")37    summary_out = gr.Textbox(lines=5, label="Summary", interactive=False)38 39    run_btn.click(40        summarize,41        inputs=[text_in, max_slider, min_slider],42        outputs=summary_out43    )44 45if __name__ == "__main__":46    demo.launch(server_name="0.0.0.0")47