Dockerfile.cuda-tf

# TensorFlow official GPU image with CUDA 12, CuDNN, and Python 3.10 pre-configured
FROM tensorflow/tensorflow:latest-gpu

RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential libgl1-mesa-glx libglib2.0-0 inkscape && \
    apt-get clean && rm -rf /var/lib/apt/lists/*

# Set Python 3.10 as default (TensorFlow base already has Python)
ENV PYTHONUNBUFFERED=1
ENV PIP_NO_CACHE_DIR=1
ENV PATH="/opt/venv/bin:$PATH"
ENV UV_PROJECT_ENVIRONMENT=/opt/venv
ENV UV_PYTHON_PREFERENCE=only-system

WORKDIR /app
COPY . /app

RUN mkdir -p /home/appuser/.data/DECIMER-V2

# Install uv and dependencies
RUN pip install --upgrade pip uv
RUN uv sync --no-dev --no-editable --no-cache

WORKDIR /app

# Run server as non-root user, consistent with CPU image layout.
RUN adduser --disabled-password --gecos '' appuser \
    && chown -R appuser:appuser /app \
    && chown -R appuser:appuser /home/appuser/.data
USER appuser
ENV HOME=/home/appuser

EXPOSE 8099
ENTRYPOINT ["python", "decimer_server.py"]