grouped-sampling-demo / Dockerfile
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FROM bitnami/pytorch
# Set the working directory to /code
WORKDIR /code
# Copy the current directory contents into the container at /code
COPY ./requirements.txt /code/requirements.txt
# Install requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user
# Add the user's home directory to the PATH
ENV PATH=/home/user/.local/bin:$PATH
# Set the working directory to the user's home directory
WORKDIR $HOME/app
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
RUN mkdir "/app/.cache/"
RUN mkdir "/app/.cache/huggingface/"
ENV HUGGINGFACE_HUB_CACHE="/app/.cache/huggingface"
RUN mkdir "/app/.cache/transformers/"
ENV TRANSFORMERS_CACHE="/app/.cache/transformers"
CMD ["streamlit", "run", "/app/app.py"]