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A newer version of the Gradio SDK is available: 5.44.1

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metadata
title: Text Summarizer
emoji: 📚
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
license: mit

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Multi-Model Summarizer (Gradio)

This Gradio app runs two Hugging Face summarization models (fast + quality) and returns paragraph or bullet-point summaries. Models used by default: DistilBART (fast) + BART-large (quality). Use T5-small or Pegasus pair for lighter CPU usage.

How to deploy to Hugging Face Spaces

  1. Create a new Space on https://huggingface.co/spaces

    • Click "New Space"
    • Choose Gradio as SDK
    • Choose hardware: CPU or request GPU (recommended for bart-large)

  2. Clone the Space repo locally (after creating it):

    git lfs install
git clone https://huggingface.co/spaces/<YOUR_USERNAME>/<REPO_NAME>
cd <REPO_NAME>