Draw bounding box for detected face #12
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| name: FER App Deploy | |
| on: | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - svelte_client/** | |
| - server.py | |
| - requirements.txt | |
| - predict.py | |
| - .github/** | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout the repository | |
| uses: actions/checkout@v4 | |
| - name: Configure NodeJS | |
| uses: actions/setup-node@v3 | |
| with: | |
| node-version: '21.x' | |
| - name: Check Front-end build | |
| run: | | |
| cd svelte_client | |
| npm install | |
| npm run build | |
| - name: Deploy using SSH | |
| uses: appleboy/ssh-action@master | |
| with: | |
| host: ${{ secrets.HOST }} | |
| username: ${{ secrets.USER }} | |
| PORT: ${{ secrets.PORT }} | |
| key: ${{ secrets.SSHKEY }} | |
| script: | | |
| # Update the repository with latest code | |
| cd Facial-Emotion-Recognition | |
| git pull origin main | |
| # Install Python dependencies | |
| $HOME/miniconda3/envs/fer_env/bin/python -m pip install -r requirements.txt | |
| # Build front-end | |
| export NVM_DIR=~/.nvm | |
| source ~/.nvm/nvm.sh | |
| cd svelte_client | |
| npm install | |
| npm run build | |
| # restart web server | |
| sudo /bin/systemctl restart fer_app.socket nginx |