Dockerfile

FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04

# Install Python 3.11 and system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3.11-dev \
    python3-pip \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    && update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 \
    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

COPY requirements.txt .
# Install PyTorch with CUDA 12.4 support, then the rest
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cu124 && \
    pip install --no-cache-dir -r requirements.txt

COPY . .

# Hugging Face model cache (overridable via HF_HOME env var)
ENV HF_HOME=/app/cache
ENV JUPYTER_TOKEN=grapholab

EXPOSE 7860 8888

COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh

ENTRYPOINT ["/entrypoint.sh"]