镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 22:46:48 +00:00
37 行
1.3 KiB
Plaintext
37 行
1.3 KiB
Plaintext
# 此Dockerfile适用于"无本地模型"的环境构建，如果需要使用chatglm等本地模型，请参考 docs/Dockerfile+ChatGLM
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# - 1 修改 `config.py`
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# - 2 构建 docker build -t gpt-academic-nolocal-latex -f docs/GithubAction+NoLocal+Latex .
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# - 3 运行 docker run -v /home/fuqingxu/arxiv_cache:/root/arxiv_cache --rm -it --net=host gpt-academic-nolocal-latex
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FROM menghuan1918/ubuntu_uv_ctex:latest
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ENV DEBIAN_FRONTEND=noninteractive
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SHELL ["/bin/bash", "-c"]
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WORKDIR /gpt
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# 先复制依赖文件
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COPY requirements.txt .
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# 安装依赖
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RUN pip install --break-system-packages openai numpy arxiv rich colorama Markdown pygments pymupdf python-docx pdfminer \
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&& pip install --break-system-packages -r requirements.txt \
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&& if [ "$(uname -m)" = "x86_64" ]; then \
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pip install --break-system-packages nougat-ocr; \
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fi \
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&& pip cache purge \
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&& rm -rf /root/.cache/pip/*
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# 创建非root用户
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RUN useradd -m gptuser && chown -R gptuser /gpt
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USER gptuser
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# 最后才复制代码文件,这样代码更新时只需重建最后几层，可以大幅减少docker pull所需的大小
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COPY --chown=gptuser:gptuser . .
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# 可选步骤，用于预热模块
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RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
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RUN python3 -m pip cache purge
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# 启动
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CMD ["python3", "-u", "main.py"]
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