Dockerfile

FROM nvidia/cuda:12.6.3-runtime-ubuntu22.04

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    HF_HOME=/home/user/.cache/huggingface \
    VISUALIZER_CONFIG=visualizer.hf.toml \
    HOME=/home/user \
    DEBIAN_FRONTEND=noninteractive

# Install Python and system dependencies
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        python3.10 \
        python3.10-venv \
        python3-pip \
        git \
        ffmpeg \
        libglib2.0-0 \
        libgomp1 \
        build-essential && \
    ln -sf /usr/bin/python3.10 /usr/bin/python3 && \
    ln -sf /usr/bin/python3 /usr/bin/python && \
    rm -rf /var/lib/apt/lists/*

# Set up a new user named "user" with UID 1000 for Hugging Face permissions
RUN useradd -m -u 1000 user

WORKDIR /app

# Copy requirements files first
COPY requirements-base.txt requirements-gpu-cu126.txt ./

# Install CUDA PyTorch/Torchvision first, then other base requirements
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements-gpu-cu126.txt

# Copy the rest of the application files
COPY --chown=user:1000 . .

# Create writable data directories and change ownership
RUN mkdir -p data/uploads data/jobs && \
    chown -R user:1000 /app

# Switch to the non-root user
USER user

# Hugging Face Spaces expects the application on port 7860
EXPOSE 7860

CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]