镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 22:46:48 +00:00
f2b67602bb
* Test: change dockerfile to install ffmpeg * Add the ffmpeg to dockerfile (required by edge-tts)
38 行
1.4 KiB
Plaintext
38 行
1.4 KiB
Plaintext
# 从NVIDIA源，从而支持显卡运损（检查宿主的nvidia-smi中的cuda版本必须>=11.3）
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FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
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ARG useProxyNetwork=''
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RUN apt-get update
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RUN apt-get install -y curl proxychains curl g++
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RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
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# use python3 as the system default python
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RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
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# 下载pytorch
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RUN python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
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# 下载分支
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WORKDIR /gpt
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RUN git clone --depth=1 https://github.com/binary-husky/gpt_academic.git
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WORKDIR /gpt/gpt_academic
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RUN python3 -m pip install -r requirements.txt
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RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
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RUN python3 -m pip install -r request_llms/requirements_newbing.txt
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RUN python3 -m pip install -r request_llms/requirements_jittorllms.txt -i https://pypi.jittor.org/simple -I
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# 下载JittorLLMs
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RUN git clone https://github.com/binary-husky/JittorLLMs.git --depth 1 request_llms/jittorllms
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# edge-tts需要的依赖
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RUN apt update && apt install ffmpeg -y
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# 禁用缓存，确保更新代码
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ADD "https://www.random.org/cgi-bin/randbyte?nbytes=10&format=h" skipcache
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RUN git pull
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# 预热Tiktoken模块
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RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
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# 启动
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CMD ["python3", "-u", "main.py"]
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