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| # 1. Base Image | |
| FROM python:3.11-slim | |
| # 2. Set the working directory | |
| WORKDIR /app | |
| # 3. Install PyTorch (CPU version) FIRST from its custom index | |
| RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu | |
| # 4. Install API dependencies SECOND from the normal Python index | |
| RUN pip install --no-cache-dir fastapi uvicorn transformers pillow pydantic requests | |
| # 5. Pre-download the NEW SigLIP deepfake model | |
| RUN python -c "from transformers import pipeline; pipeline('image-classification', model='prithivMLmods/deepfake-detector-model-v1')" | |
| # 6. Copy your app.py specifically into the current WORKDIR (/app) | |
| COPY app.py /app/app.py | |
| # 7. Set environment variable to make sure Python finds the /app folder | |
| ENV PYTHONPATH=/app | |
| # 8. Expose port | |
| EXPOSE 7860 | |
| # 9. Start the node | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] |