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If anyone is struggling with installing old dependencies (as I was 😊), here is the Dockerfile contents to ensure a successful start:
# Use the official Python 3.7 image as a base
FROM python:3.7-slim
# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive \
LANG=C.UTF-8 \
LC_ALL=C.UTF-8 \
PATH=/opt/conda/bin:$PATH
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
wget \
curl \
git \
sudo \
libgl1-mesa-glx \
libcairo2-dev \
libffi-dev \
libssl-dev \
&& apt-get clean && rm -rf /var/lib/apt/lists/*
# Install Miniconda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /miniconda.sh && \
bash /miniconda.sh -b -p /opt/conda && \
rm /miniconda.sh && \
/opt/conda/bin/conda clean --all -y
# Set Conda environment as default
RUN echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc
SHELL ["/bin/bash", "-c"]
# Clone the DeepSVG repository
WORKDIR /app
RUN git clone https://github.com/alexandre01/deepsvg.git
# Update requirements.txt to replace sklearn with scikit-learn
WORKDIR /app/deepsvg
RUN sed -i 's/^sklearn$/scikit-learn/' requirements.txt
# Set up the Conda environment and install dependencies
RUN conda create -n deepsvg python=3.7 -y && \
echo "conda activate deepsvg" >> ~/.bashrc && \
source ~/.bashrc && \
pip install --no-cache-dir -r requirements.txt
# Optional: Set up cairosvg dependencies for specific platforms
RUN if [ "$(uname -s)" = "Linux" ]; then \
apt-get update && apt-get install -y --no-install-recommends libcairo2-dev; \
fi
# Default entrypoint to activate the environment and start the container in a shell
CMD ["/bin/bash", "-c", "source ~/.bashrc && conda activate deepsvg && bash"]
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