209f0370b4
Automatically create a config.yml on build. Also use the cuda runtime image which is much lighter than the previous cuda devel image. Signed-off-by: kingbri <bdashore3@proton.me>
39 lines
900 B
Docker
39 lines
900 B
Docker
# Use an official CUDA runtime with Ubuntu as a parent image
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FROM nvidia/cuda:12.4.1-runtime-ubuntu22.04
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# Set the working directory in the container
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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curl \
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ca-certificates \
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python3.11 \
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python3-pip \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Upgrade pip
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RUN pip3 install --no-cache-dir --upgrade pip
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# Get requirements
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COPY pyproject.toml .
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# Install packages specified in pyproject.toml cu121
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RUN pip3 install --no-cache-dir .[cu121]
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# Copy the current directory contents into the container
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COPY . .
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# Create a config.yml
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COPY config_sample.yml config.yml
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# Make port 5000 available to the world outside this container
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EXPOSE 5000
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# Set the entry point
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ENTRYPOINT ["python3"]
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# Run main.py when the container launches
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CMD ["main.py"]
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