Dockerfile

FROM python:3.11-slim

ENV PYTHONUNBUFFERED=1 \
    PIP_NO_CACHE_DIR=1 \
    HF_HOME=/home/user/app/.models \
    HF_HUB_DISABLE_TELEMETRY=1 \
    NUKKI_HOST=0.0.0.0 \
    NUKKI_PORT=7860

# opencv / pillow 런타임 의존
RUN apt-get update && apt-get install -y --no-install-recommends \
      libgl1 libglib2.0-0 && rm -rf /var/lib/apt/lists/*

RUN useradd -m -u 1000 user
USER user
ENV PATH=/home/user/.local/bin:$PATH
WORKDIR /home/user/app

# CPU 전용 torch 먼저 (Spaces 무료는 GPU 없음 → CUDA 빌드 불필요)
COPY --chown=user requirements.txt .
RUN pip install --upgrade pip && \
    pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu && \
    pip install -r requirements.txt

COPY --chown=user . .

# 모델을 이미지에 미리 구워넣어 cold start 시 재다운로드 방지 (실패해도 런타임에 받음)
RUN python -c "from app.registry import REGISTRY; REGISTRY.segmenter('general'); REGISTRY.matte('small'); print('prewarm ok')" || echo "prewarm skipped"

EXPOSE 7860
CMD ["uvicorn", "app.server:app", "--host", "0.0.0.0", "--port", "7860"]