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| # Step 1: Use an official lightweight Python runtime | |
| FROM python:3.11-slim | |
| # Install system utilities required for compilation (Chromadb / pydantic binaries) | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| build-essential \ | |
| git \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Step 2: Set up Hugging Face's mandatory non-root user (UID 1000) | |
| RUN useradd -m -u 1000 user | |
| USER user | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH | |
| WORKDIR $HOME/app | |
| # Step 3: Pull down CUDA-compiled PyTorch libraries for the Nvidia T4 GPU | |
| RUN pip install --no-cache-dir --upgrade pip && \ | |
| pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu121 | |
| # Step 4: Copy and install dependencies | |
| COPY --chown=user requirements.txt $HOME/app/requirements.txt | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Step 5: Copy over your entire repository (including app folder and chroma_db) | |
| COPY --chown=user . $HOME/app | |
| # Step 6: Expose the mandatory Hugging Face proxy port | |
| EXPOSE 7860 | |
| # Step 7: Run main.py as a module from the root directory so imports don't break! | |
| CMD ["python", "-m", "app.main"] |