Dockerfile

[BlessedTatonka]

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"]