---
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)
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
## 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).