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- # 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
- # 如何构建: 先修改 `config.py`, 然后 docker build -t gpt-academic-nolocal-vs -f docs/GithubAction+NoLocal+Vectordb .
- # 如何运行: docker run --rm -it --net=host gpt-academic-nolocal-vs
- FROM python:3.11
- # 指定路径
- WORKDIR /gpt
- # 装载项目文件
- COPY . .
- # 安装依赖
- RUN pip3 install -r requirements.txt
- # 安装知识库插件的额外依赖
- RUN apt-get update && apt-get install libgl1 -y
- RUN pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu
- RUN pip3 install transformers protobuf langchain sentence-transformers faiss-cpu nltk beautifulsoup4 bitsandbytes tabulate icetk --upgrade
- RUN pip3 install unstructured[all-docs] --upgrade
- RUN python3 -c 'from check_proxy import warm_up_vectordb; warm_up_vectordb()'
- # 可选步骤,用于预热模块
- RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
- # 启动
- CMD ["python3", "-u", "main.py"]
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