image/aide/Dockerfile

FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1

WORKDIR /app

RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    python3 python3-pip python3-dev \
    git wget build-essential && \
    rm -rf /var/lib/apt/lists/*

RUN ln -sf /usr/bin/python3 /usr/bin/python

RUN pip install --no-cache-dir --upgrade pip "setuptools>=68" wheel

# Install PyTorch with CUDA 12.1 (replaces CPU-only arch-conditional install)
RUN pip install --no-cache-dir \
    torch==2.5.1 torchvision==0.20.1 \
    --index-url https://download.pytorch.org/whl/cu121

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

RUN git clone https://github.com/shilinyan99/AIDE.git model_code && \
    touch model_code/__init__.py && \
    touch model_code/models/__init__.py && \
    touch model_code/data/__init__.py

RUN mkdir -p /app/weights /app/hf_cache
COPY weights/ /app/weights/

COPY app.py .

ENV MODEL_PORT=5004
ENV PRELOAD_MODEL=false
ENV MODEL_TIMEOUT=600
ENV AIDE_CHECKPOINT=GenImage_train.pth
ENV PYTHONPATH=/app/model_code:$PYTHONPATH

EXPOSE ${MODEL_PORT}

RUN adduser --disabled-password --gecos '' appuser
USER appuser

CMD ["python", "app.py"]