镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
use uv to build dockerfile
这个提交包含在:
24
Dockerfile
24
Dockerfile
@@ -3,48 +3,36 @@
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# - 如何构建: 先修改 `config.py`, 然后 `docker build -t gpt-academic . `
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# - 如何运行(Linux下): `docker run --rm -it --net=host gpt-academic `
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# - 如何运行(其他操作系统,选择任意一个固定端口50923): `docker run --rm -it -e WEB_PORT=50923 -p 50923:50923 gpt-academic `
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm
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# 非必要步骤,更换pip源 (以下三行,可以删除)
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RUN echo '[global]' > /etc/pip.conf && \
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echo 'index-url = https://mirrors.aliyun.com/pypi/simple/' >> /etc/pip.conf && \
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echo 'trusted-host = mirrors.aliyun.com' >> /etc/pip.conf
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# 语音输出功能(以下1,2行更换阿里源,第3,4行安装ffmpeg,都可以删除)
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# RUN echo "deb https://mirrors.aliyun.com/debian/ bookworm main contrib non-free non-free-firmware" > /etc/apt/sources.list
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# RUN echo "deb https://mirrors.aliyun.com/debian/ bookworm-updates main contrib non-free non-free-firmware" >> /etc/apt/sources.list
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# RUN echo "deb https://mirrors.aliyun.com/debian/ bookworm-backports main contrib non-free non-free-firmware" >> /etc/apt/sources.list
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# RUN echo "deb https://mirrors.aliyun.com/debian-security/ bookworm-security main contrib non-free non-free-firmware" >> /etc/apt/sources.list
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# COPY /usr/share/doc/apt/examples/sources.list /etc/apt/sources.list
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RUN sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources && \
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sed -i 's/security.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list.d/debian.sources && \
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apt-get update
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RUN apt-get install ffmpeg -y
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RUN apt-get clean
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# 进入工作路径(必要)
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WORKDIR /gpt
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# 安装大部分依赖,利用Docker缓存加速以后的构建 (以下两行,可以删除)
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COPY requirements.txt ./
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RUN uv venv --python=3.12 && uv pip install --verbose -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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ENV PATH="/gpt/.venv/bin:$PATH"
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RUN python -c 'import loguru'
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# 装载项目文件,安装剩余依赖(必要)
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COPY . .
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RUN uv venv --python=3.12 && uv pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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RUN ln -sf .venv/bin/python3.12 /usr/local/bin/python3 && \
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ln -sf .venv/bin/python3.12 /usr/local/bin/python
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# 非必要步骤,用于预热模块(可以删除)
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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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# # 非必要步骤,用于预热模块(可以删除)
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RUN python -c 'from check_proxy import warm_up_modules; warm_up_modules()'
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# 启动(必要)
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CMD ["bash", "-c", "source .venv/bin/activate && python main.py"]
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CMD ["bash", "-c", "python main.py"]
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