metadata

title: Summarization
emoji: 📝
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 3.50.2
app_file: app.py
pinned: false
license: apache-2.0

Text Summarization Hugging Face Spaces App

Welcome to the Text Summarization Hugging Face Spaces App! This app allows you to generate text titles using the XJLULU/NTU_ADL_SUMMARIZATION_MT5_S model.

App Description

This app takes a piece of text as input and generates a summary of the text. You can either enter your own text or click the "Random" button to get a random example from a provided dataset and generate a summary.

How to Use

Enter or paste a piece of text into the "Context paragraph" textbox.
Click the "Generate" button to generate a summary.
You can also click the "Random" button to generate a random example for summarization.

Example Data

The app uses a dataset of examples provided in the sample_data.jsonl file. Each example in the dataset contains a "text" field. You can either provide your own text or use the "Random" button to choose an example from the dataset.

Model Information

This project uses the xjlulu/ntu_adl_summarization_mt5_s model from Hugging Face.

Local Setup

If you want to run this app locally, follow these steps:

Clone the repository:

git clone https://huggingface.co/spaces/xjlulu/summarization

Navigate to the project directory:
```
cd summarization
```
Install the required libraries:
```
pip install -r requirements.txt
```
Run the app:
```
python app.py
```

The app will start locally and be accessible at [http://localhost:7860]. You can access it in your web browser.

Credits

License

This project is licensed under the apache-2.0 - see the apache-2.0 file for details.

Acknowledgments

Thank you to the open-source community for developing the amazing tools and libraries that make this project possible.