Dockerfile

# 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"]