Trigger deployment: Fix Model Not Found message #17
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| name: Predictive Maintenance Pipeline | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| branches: | |
| - main | |
| jobs: | |
| register-dataset: | |
| runs-on: ubuntu-latest | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| - name: Upload raw engine dataset to Hugging Face | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| run: | | |
| echo "Checking environment variables..." | |
| echo "HF_TOKEN is set: $([ -n "$HF_TOKEN" ] && echo 'yes' || echo 'no')" | |
| echo "HF_DATASET_REPO is set: $([ -n "$HF_DATASET_REPO" ] && echo 'yes' || echo 'no')" | |
| echo "Checking if data file exists..." | |
| ls -la data/engine_data.csv || echo "ERROR: data/engine_data.csv not found!" | |
| echo "Installing dependencies..." | |
| pip install -q huggingface_hub | |
| echo "Running data registration..." | |
| cd src && python -u data_register.py | |
| data-prep: | |
| needs: register-dataset | |
| runs-on: ubuntu-latest | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| - name: Run data preparation (cleaning, splitting, upload) | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| run: | | |
| cd src && python data_prep.py | |
| model-training: | |
| needs: data-prep | |
| runs-on: ubuntu-latest | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| HF_MODEL_REPO: ${{ secrets.HF_MODEL_REPO }} | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| - name: Train model with MLflow tracking and register to Hugging Face | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_DATASET_REPO: ${{ secrets.HF_DATASET_REPO }} | |
| HF_MODEL_REPO: ${{ secrets.HF_MODEL_REPO }} | |
| run: | | |
| cd src && python train.py | |
| deploy-hosting: | |
| needs: model-training | |
| runs-on: ubuntu-latest | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_SPACE_REPO: ${{ secrets.HF_SPACE_REPO }} | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| - name: Deploy Streamlit app and Dockerfile to Hugging Face Space | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| HF_SPACE_REPO: ${{ secrets.HF_SPACE_REPO }} | |
| run: | | |
| cd src && python deploy_to_hf.py | |