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title: Text Summarizer | |
emoji: 📄➡️✂️ | |
colorFrom: green | |
colorTo: purple | |
sdk: gradio | |
sdk_version: 4.41.0 | |
app_file: app.py | |
pinned: false | |
license: afl-3.0 | |
# Text Summarization App | |
This application provides a simple interface to summarize text using a pre-trained model from Hugging Face's Transformers library. The model used under the hood is `DISTILBART-12-6-CNN`, a distilled version of BART fine-tuned on the CNN/Daily Mail dataset. | |
## Features | |
- **Text Summarization**: Generate concise summaries of input text. | |
- **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface. | |
## Model | |
- **Model Used**: [DISTILBART-12-6-CNN](https://huggingface.co/sshleifer/distilbart-cnn-12-6) | |
- **Framework**: Hugging Face Transformers | |
## Software Packages | |
- **Gradio**: Used to create the web interface. | |
- **Transformers**: Used for model inference. | |
- **Spaces**: Utilized for GPU acceleration during model execution. | |
## How to Use | |
1. Enter the text you want to summarize in the provided textbox. | |
2. Click "Submit" to generate a summary. | |
3. The summarized text will be displayed in the output box. |