gordonchan/gpt-analysisi-code
0
1## ===================================================2# docker-compose.yml3## ===================================================4# 1. 请在以下方案中选择任意一种，然后删除其他的方案5# 2. 修改你选择的方案中的environment环境变量，详情请见github wiki或者config.py6# 3. 选择一种暴露服务端口的方法，并对相应的配置做出修改：7 # 【方法1: 适用于Linux，很方便，可惜windows不支持】与宿主的网络融合为一体，这个是默认配置8 # network_mode: "host"9 # 【方法2: 适用于所有系统包括Windows和MacOS】端口映射，把容器的端口映射到宿主的端口（注意您需要先删除network_mode: "host"，再追加以下内容）10 # ports:11 # - "12345:12345" # 注意！12345必须与WEB_PORT环境变量相互对应12# 4. 最后`docker-compose up`运行13# 5. 如果希望使用显卡，请关注 LOCAL_MODEL_DEVICE 和 英伟达显卡运行时 选项14## ===================================================15# 1. Please choose one of the following options and delete the others.16# 2. Modify the environment variables in the selected option, see GitHub wiki or config.py for more details.17# 3. Choose a method to expose the server port and make the corresponding configuration changes:18 # [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration19 # network_mode: "host"20 # [Method 2: Suitable for all systems including Windows and MacOS] Port mapping, mapping the container port to the host port (note that you need to delete network_mode: "host" first, and then add the following content)21 # ports:22 # - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.23# 4. Finally, run `docker-compose up`.24# 5. If you want to use a graphics card, pay attention to the LOCAL_MODEL_DEVICE and Nvidia GPU runtime options.25## ===================================================26 27## ===================================================28## 【方案零】 部署项目的全部能力（这个是包含cuda和latex的大型镜像。如果您网速慢、硬盘小或没有显卡，则不推荐使用这个）29## ===================================================30version: '3'31services:32 gpt_academic_full_capability:33 image: ghcr.io/binary-husky/gpt_academic_with_all_capacity:master34 environment:35 # 请查阅 `config.py`或者 github wiki 以查看所有的配置信息36 API_KEY: ' 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 '37 # USE_PROXY: ' True '38 # proxies: ' { "http": "http://localhost:10881", "https": "http://localhost:10881", } '39 LLM_MODEL: ' gpt-3.5-turbo '40 AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "gpt-4", "qianfan", "sparkv2", "spark", "chatglm"] '41 BAIDU_CLOUD_API_KEY : ' bTUtwEAveBrQipEowUvDwYWq '42 BAIDU_CLOUD_SECRET_KEY : ' jqXtLvXiVw6UNdjliATTS61rllG8Iuni '43 XFYUN_APPID: ' 53a8d816 '44 XFYUN_API_SECRET: ' MjMxNDQ4NDE4MzM0OSNlNjQ2NTlhMTkx '45 XFYUN_API_KEY: ' 95ccdec285364869d17b33e75ee96447 '46 ENABLE_AUDIO: ' False '47 DEFAULT_WORKER_NUM: ' 20 '48 WEB_PORT: ' 12345 '49 ADD_WAIFU: ' False '50 ALIYUN_APPKEY: ' RxPlZrM88DnAFkZK '51 THEME: ' Chuanhu-Small-and-Beautiful '52 ALIYUN_ACCESSKEY: ' LTAI5t6BrFUzxRXVGUWnekh1 '53 ALIYUN_SECRET: ' eHmI20SVWIwQZxCiTD2bGQVspP9i68 '54 # LOCAL_MODEL_DEVICE: ' cuda '55 56 # 加载英伟达显卡运行时57 # runtime: nvidia58 # deploy:59 # resources:60 # reservations:61 # devices:62 # - driver: nvidia63 # count: 164 # capabilities: [gpu]65 66 # 【WEB_PORT暴露方法1: 适用于Linux】与宿主的网络融合67 network_mode: "host"68 69 # 【WEB_PORT暴露方法2: 适用于所有系统】端口映射70 # ports:71 # - "12345:12345" # 12345必须与WEB_PORT相互对应72 73 # 启动容器后，运行main.py主程序74 command: >75 bash -c "python3 -u main.py"76 77 78 79 80## ===================================================81## 【方案一】 如果不需要运行本地模型（仅 chatgpt, azure, 星火, 千帆, claude 等在线大模型服务）82## ===================================================83version: '3'84services:85 gpt_academic_nolocalllms:86 image: ghcr.io/binary-husky/gpt_academic_nolocal:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal)87 environment:88 # 请查阅 `config.py` 以查看所有的配置信息89 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '90 USE_PROXY: ' True '91 proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '92 LLM_MODEL: ' gpt-3.5-turbo '93 AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "sparkv2", "qianfan"] '94 WEB_PORT: ' 22303 '95 ADD_WAIFU: ' True '96 # THEME: ' Chuanhu-Small-and-Beautiful '97 # DEFAULT_WORKER_NUM: ' 10 '98 # AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '99 100 # 与宿主的网络融合101 network_mode: "host"102 103 # 不使用代理网络拉取最新代码104 command: >105 bash -c "python3 -u main.py"106 107 108### ===================================================109### 【方案二】 如果需要运行ChatGLM + Qwen + MOSS等本地模型110### ===================================================111version: '3'112services:113 gpt_academic_with_chatglm:114 image: ghcr.io/binary-husky/gpt_academic_chatglm_moss:master # (Auto Built by Dockerfile: docs/Dockerfile+ChatGLM)115 environment:116 # 请查阅 `config.py` 以查看所有的配置信息117 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '118 USE_PROXY: ' True '119 proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '120 LLM_MODEL: ' gpt-3.5-turbo '121 AVAIL_LLM_MODELS: ' ["chatglm", "qwen", "moss", "gpt-3.5-turbo", "gpt-4", "newbing"] '122 LOCAL_MODEL_DEVICE: ' cuda '123 DEFAULT_WORKER_NUM: ' 10 '124 WEB_PORT: ' 12303 '125 ADD_WAIFU: ' True '126 # AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '127 128 # 显卡的使用，nvidia0指第0个GPU129 runtime: nvidia130 devices:131 - /dev/nvidia0:/dev/nvidia0132 133 # 与宿主的网络融合134 network_mode: "host"135 command: >136 bash -c "python3 -u main.py"137 138 # P.S. 通过对 command 进行微调，可以便捷地安装额外的依赖139 # command: >140 # bash -c "pip install -r request_llms/requirements_qwen.txt && python3 -u main.py"141 142### ===================================================143### 【方案三】 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型144### ===================================================145version: '3'146services:147 gpt_academic_with_rwkv:148 image: ghcr.io/binary-husky/gpt_academic_jittorllms:master149 environment:150 # 请查阅 `config.py` 以查看所有的配置信息151 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '152 USE_PROXY: ' True '153 proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '154 LLM_MODEL: ' gpt-3.5-turbo '155 AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "newbing", "jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"] '156 LOCAL_MODEL_DEVICE: ' cuda '157 DEFAULT_WORKER_NUM: ' 10 '158 WEB_PORT: ' 12305 '159 ADD_WAIFU: ' True '160 # AUTHENTICATION: ' [("username", "passwd"), ("username2", "passwd2")] '161 162 # 显卡的使用，nvidia0指第0个GPU163 runtime: nvidia164 devices:165 - /dev/nvidia0:/dev/nvidia0166 167 # 与宿主的网络融合168 network_mode: "host"169 170 # 不使用代理网络拉取最新代码171 command: >172 python3 -u main.py173 174 175## ===================================================176## 【方案四】 ChatGPT + Latex177## ===================================================178version: '3'179services:180 gpt_academic_with_latex:181 image: ghcr.io/binary-husky/gpt_academic_with_latex:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal+Latex)182 environment:183 # 请查阅 `config.py` 以查看所有的配置信息184 API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '185 USE_PROXY: ' True '186 proxies: ' { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", } '187 LLM_MODEL: ' gpt-3.5-turbo '188 AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "gpt-4"] '189 LOCAL_MODEL_DEVICE: ' cuda '190 DEFAULT_WORKER_NUM: ' 10 '191 WEB_PORT: ' 12303 '192 193 # 与宿主的网络融合194 network_mode: "host"195 196 # 不使用代理网络拉取最新代码197 command: >198 bash -c "python3 -u main.py"199 200 201## ===================================================202## 【方案五】 ChatGPT + 语音助手 （请先阅读 docs/use_audio.md）203## ===================================================204version: '3'205services:206 gpt_academic_with_audio:207 image: ghcr.io/binary-husky/gpt_academic_audio_assistant:master208 environment:209 # 请查阅 `config.py` 以查看所有的配置信息210 API_KEY: ' fk195831-IdP0Pb3W6DCMUIbQwVX6MsSiyxwqybyS '211 USE_PROXY: ' False '212 proxies: ' None '213 LLM_MODEL: ' gpt-3.5-turbo '214 AVAIL_LLM_MODELS: ' ["gpt-3.5-turbo", "gpt-4"] '215 ENABLE_AUDIO: ' True '216 LOCAL_MODEL_DEVICE: ' cuda '217 DEFAULT_WORKER_NUM: ' 20 '218 WEB_PORT: ' 12343 '219 ADD_WAIFU: ' True '220 THEME: ' Chuanhu-Small-and-Beautiful '221 ALIYUN_APPKEY: ' RoP1ZrM84DnAFkZK '222 ALIYUN_TOKEN: ' f37f30e0f9934c34a992f6f64f7eba4f '223 # (无需填写) ALIYUN_ACCESSKEY: ' LTAI5q6BrFUzoRXVGUWnekh1 '224 # (无需填写) ALIYUN_SECRET: ' eHmI20AVWIaQZ0CiTD2bGQVsaP9i68 '225 226 # 与宿主的网络融合227 network_mode: "host"228 229 # 不使用代理网络拉取最新代码230 command: >231 bash -c "python3 -u main.py"232 233