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	warm up module in dockerfile
Browse files- Dockerfile +3 -0
 - docs/Dockerfile+ChatGLM +3 -0
 
    	
        Dockerfile
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         @@ -14,4 +14,7 @@ RUN pip3 install -r requirements.txt 
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            COPY . .
         
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            CMD ["python3", "-u", "main.py"]
         
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            COPY . .
         
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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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            CMD ["python3", "-u", "main.py"]
         
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        docs/Dockerfile+ChatGLM
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         @@ -41,6 +41,9 @@ RUN python3 -u warm_up_chatglm.py 
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            ADD "https://www.random.org/cgi-bin/randbyte?nbytes=10&format=h" skipcache
         
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            RUN $useProxyNetwork git pull
         
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            # 为chatgpt-academic配置代理和API-KEY (非必要 可选步骤)
         
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            # 可同时填写多个API-KEY,支持openai的key和api2d的key共存,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey1,fkxxxx-api2dkey2"
         
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            # LLM_MODEL 是选择初始的模型
         
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            ADD "https://www.random.org/cgi-bin/randbyte?nbytes=10&format=h" skipcache
         
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            RUN $useProxyNetwork 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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            # 为chatgpt-academic配置代理和API-KEY (非必要 可选步骤)
         
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            # 可同时填写多个API-KEY,支持openai的key和api2d的key共存,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey1,fkxxxx-api2dkey2"
         
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            # LLM_MODEL 是选择初始的模型
         
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