# Base image with CUDA 12.6.3 and cuDNN # FROM nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04 FROM python:3.10-bookworm # Set environment variables ARG DEBIAN_FRONTEND=noninteractive ENV PYTHONUNBUFFERED=1 \ GRADIO_FLAGGING_MODE=never \ GRADIO_NUM_PORTS=1 \ GRADIO_SERVER_NAME=0.0.0.0 \ GRADIO_THEME=huggingface \ GRADIO_CACHE_DIR=/home/appuser/.gradio_cache \ SYSTEM=spaces \ AM_I_IN_A_DOCKER_CONTAINER=Yes \ PYTHONPATH=/home/appuser/app \ HF_HOME=/home/appuser/.cache \ TORCH_HOME=/home/appuser/.cache \ TMP_DIR=/home/appuser/tmp \ TRANSFORMERS_CACHE=/home/appuser/.cache/transformers \ NVIDIA_VISIBLE_DEVICES=all \ NVIDIA_DRIVER_CAPABILITIES=compute,utility # Install system dependencies and set Python 3.10 as default RUN apt-get update && apt-get install --no-install-recommends -y \ build-essential \ curl \ git \ ffmpeg \ libsm6 \ libxext6 \ libgl1 \ && apt-get clean && rm -rf /var/lib/apt/lists/* # Create a non-root user RUN useradd -m -u 1000 appuser # Set working directory WORKDIR /home/appuser/app # Ensure non-root user has write access to cache and tmp directories RUN mkdir -p /home/appuser/.cache/transformers /home/appuser/tmp /home/appuser/.cache \ && chown -R appuser:appuser /home/appuser/.cache /home/appuser/tmp/ /home/appuser/app/ # Switch to non-root user USER appuser # Expose port for Gradio EXPOSE 7860 # Install `uv` RUN curl -LsSf https://astral.sh/uv/install.sh | sh # Change shell to bash SHELL ["/bin/bash", "-c"] # Copy dependency files and install dependencies COPY --chown=appuser pyproject.toml dawsonia.toml uv.lock LICENSE.txt LICENSE-RA.txt README.md ./ RUN /home/appuser/.local/bin/uv sync -p 3.10 --frozen --no-cache \ && chown -R appuser:appuser /home/appuser/app/.venv \ && rm -rf /home/appuser/.cache # Copy application code COPY --chown=appuser app app COPY --chown=appuser table_formats table_formats COPY --chown=appuser examples examples COPY --chown=appuser output output COPY --chown=appuser data data # Command to run the application CMD ["/home/appuser/.local/bin/uv", "run", "app/main.py"]