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Update app.py
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app.py
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from transformers import pipeline
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import gradio as gr
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summarizer = pipeline("summarization", model="josmunpen/mt5-small-spanish-summarization")
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def generate_summary(text):
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summary = summarizer(text, max_length=100, min_length=30, do_sample=False)
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return summary[0]['summary_text']
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with gr.Blocks() as demo:
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gr.Markdown("""
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# Resumen de Texto en Español
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Esta aplicación permite generar resúmenes breves de textos largos en español.
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Solo necesitas introducir el texto y el modelo generará un resumen conciso.
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""")
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gr.Interface(
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fn=generate_summary,
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inputs=gr.Textbox(label="Introduce el texto largo", placeholder="Escribe o pega un texto aquí..."),
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outputs=gr.Textbox(label="Resumen"),
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)
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gr.Markdown("""
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---
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Demostración de resumen de texto usando el modelo [josmunpen/mt5-small-spanish-summarization](https://huggingface.co/josmunpen/mt5-small-spanish-summarization).
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Desarrollado con ❤️ por [@srjosueaaron](https://www.instagram.com/srjosueaaron/).
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""")
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if __name__ == "__main__":
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demo.launch()
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