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title: 'vit-explainer' | |
colorFrom: indigo | |
colorTo: indigo | |
sdk: gradio | |
app_port: 7860 | |
emoji: 🔥 | |
pinned: false | |
license: mit | |
app_file: app.py | |
# vit-explainer | |
[](https://github.com/raidionics/AeroPath/blob/main/LICENSE.md) | |
[](https://github.com/andreped/vit-explainer/actions/workflows/deploy.yml) | |
<a target="_blank" href="https://huggingface.co./spaces/andreped/vit-explainer"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a> | |
This web app was developed to test and demonstrate an explainable AI (XAI)-based technique with a pretrained vision transformer (ViT). | |
The app is deployed on Hugging Face and can be access by clicking the 🤗 badge above. | |
## Demo | |
<img width="1283" alt="Screenshot 2023-11-12 at 23 48 54" src="https://github.com/andreped/vit-explainer/assets/29090665/1fe47bb5-625d-4717-9348-53930d5129dc"> | |
## Development | |
To run the app locally, you run the following in the terminal: | |
``` | |
git clone "https://github.com/andreped/vit-explainer.git" | |
cd "vit-explainer/" | |
virtualenv -ppython3 venv --clear | |
source venv/bin/activate | |
pip install -r requirements.txt | |
python app.py | |
``` | |
## License | |
The code in this repository is released under [MIT license](https://github.com/andreped/vit-explainer/blob/main/LICENSE.md). | |