Dockerfile

# Documentation: https://huggingface.co/docs/hub/spaces-sdks-docker

FROM python:3.8

RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:/opt/conda/bin:$PATH"

WORKDIR /app

ARG PYTORCH_VERSION=2.1.0
ARG PYTHON_VERSION=3.8.10
ARG CUDA_VERSION=11.8
ARG CU_DNN=8.5.0.96
ARG CUDA_CHANNEL=nvidia
ARG INSTALL_CHANNEL=pytorch
# Automatically set by buildx
ARG TARGETPLATFORM


# Install pytorch
# On arm64 we exit with an error code
RUN case ${TARGETPLATFORM} in \
         "linux/arm64")  exit 1 ;; \
         *)              /opt/conda/bin/conda update -y conda &&  \
                         /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" "pytorch=$PYTORCH_VERSION" "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)"  ;; \
    esac && \
    /opt/conda/bin/conda clean -ya

COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

RUN git clone https://github.com/lee-ny/teaching_arithmetic.git && cd teaching_arithmetic
#COPY --chown=user teaching_arithmetic /teaching_arithmetic
#RUN cd teaching_arithmetic
# && cd teaching_arithmetic && 
RUN pip install -e .


COPY --chown=user . /app
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]