Dockerfile

# ── Stage: RetViM HuggingFace Space ──────────────────────────────────────────
# rebuild trigger: 2026-03-28
FROM python:3.11-slim

WORKDIR /app

# System dependencies for Pillow / OpenCV / matplotlib
RUN apt-get update && apt-get install -y --no-install-recommends \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgl1 \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# ── Install PyTorch CPU-only first (saves ~1.8 GB vs default CUDA wheel) ─────
# HF free-tier Spaces have no GPU, so CPU-only is both correct and fast.
RUN pip install --no-cache-dir \
    torch==2.2.0 \
    torchvision==0.17.0 \
    --index-url https://download.pytorch.org/whl/cpu

# ── Remaining Python dependencies (layer-cached before code copy) ─────────────
RUN pip install --no-cache-dir \
    "fastapi==0.104.1" \
    "uvicorn[standard]==0.24.0" \
    "timm>=0.9.10" \
    "Pillow>=10.1.0" \
    "numpy>=1.26.2,<2" \
    "matplotlib>=3.8.2" \
    "scikit-learn>=1.3.2" \
    "scipy>=1.11.4" \
    "python-multipart==0.0.6" \
    "einops==0.7.0" \
    "python-dotenv==1.0.0"

# Copy application source + frontend HTML
COPY *.py .
COPY retvim-final.html .

# Copy model weights (tracked via Git LFS)
COPY real_weights.pth .

# Copy research figure images for /images static route
COPY images/ images/

# HuggingFace Spaces listens on 7860
EXPOSE 7860

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