docker-compose.yml - master - githubmirror/gpt_academic

docker-compose.yml
233 строки15 KB
Menghuan1918
修复并改进build with latex的Docker构建 (#2020)
27 окт 2024, 18:17
27 окт 2024, 18:17f0b0364
## ===================================================
#                docker-compose.yml
## ===================================================
# 1. 请在以下方案中选择任意一种，然后删除其他的方案
# 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.py
# 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：
    # 「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
    # network_mode: "host"
    # 「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）
    # ports:
    #   - "12345:12345"  # 注意！12345必须与WEB_PORT环境变量相互对应
# 4. 最后`docker-compose up`运行
# 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
## ===================================================
# 1. Please choose one of the following options and delete the others.
# 2. Modify the environment variables in the selected option, see GitHub wiki or config.py for more details.
# 3. Choose a method to expose the server port and make the corresponding configuration changes:
    # [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration
    # network_mode: "host"
    # [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)
    # ports:
    # - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.
# 4. Finally, run `docker-compose up`.
# 5. If you want to use a graphics card, pay attention to the LOCAL_MODEL_DEVICE and Nvidia GPU runtime options.
## ===================================================

## ===================================================
## 「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）
## ===================================================
version: '3'
services:
  gpt_academic_full_capability:
    image: ghcr.io/binary-husky/gpt_academic_with_all_capacity:master
    environment:
      # 请查阅 `config.py`或者 github wiki 以查看所有的配置信息
      API_KEY:                  '  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                        '
      # USE_PROXY:                '  True                                                                       '
      # proxies:                  '  { "http": "http://localhost:10881", "https": "http://localhost:10881", }   '
      LLM_MODEL:                '  gpt-3.5-turbo                                                              '
      AVAIL_LLM_MODELS:         '  ["gpt-3.5-turbo", "gpt-4", "qianfan", "sparkv2", "spark", "chatglm"]       '
      BAIDU_CLOUD_API_KEY :     '  bTUtwEAveBrQipEowUvDwYWq                                                   '
      BAIDU_CLOUD_SECRET_KEY :  '  jqXtLvXiVw6UNdjliATTS61rllG8Iuni                                           '
      XFYUN_APPID:              '  53a8d816                                                                   '
      XFYUN_API_SECRET:         '  MjMxNDQ4NDE4MzM0OSNlNjQ2NTlhMTkx                                           '
      XFYUN_API_KEY:            '  95ccdec285364869d17b33e75ee96447                                           '
      ENABLE_AUDIO:             '  False                                                                      '
      DEFAULT_WORKER_NUM:       '  20                                                                         '
      WEB_PORT:                 '  12345                                                                      '
      ADD_WAIFU:                '  False                                                                      '
      ALIYUN_APPKEY:            '  RxPlZrM88DnAFkZK                                                           '
      THEME:                    '  Chuanhu-Small-and-Beautiful                                                '
      ALIYUN_ACCESSKEY:         '  LTAI5t6BrFUzxRXVGUWnekh1                                                   '
      ALIYUN_SECRET:            '  eHmI20SVWIwQZxCiTD2bGQVspP9i68                                             '
      # LOCAL_MODEL_DEVICE:       '  cuda                                                                       '

    # 加载英伟达显卡运行时
    # runtime: nvidia
    # deploy:
    #     resources:
    #       reservations:
    #         devices:
    #           - driver: nvidia
    #             count: 1
    #             capabilities: [gpu]

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 「WEB_PORT暴露方法2: 适用于所有系统」端口映射
    # ports:
    #   - "12345:12345"  # 12345必须与WEB_PORT相互对应

    # 启动容器后，运行main.py主程序
    command: >
      bash -c "python3 -u main.py"


## ===================================================
## 「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）
## ===================================================
version: '3'
services:
  gpt_academic_nolocalllms:
    image: ghcr.io/binary-husky/gpt_academic_nolocal:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal)
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx                                            '
      USE_PROXY:                '    True                                                                                           '
      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "sparkv2", "qianfan"]         '
      WEB_PORT:                 '    22303                                                                                          '
      ADD_WAIFU:                '    True                                                                                           '
      # THEME:                    '    Chuanhu-Small-and-Beautiful                                                                    '
      # DEFAULT_WORKER_NUM:       '    10                                                                                             '
      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      bash -c "python3 -u main.py"


### ===================================================
### 「方案二」 如果需要运行ChatGLM + Qwen + MOSS等本地模型
### ===================================================
version: '3'
services:
  gpt_academic_with_chatglm:
    image: ghcr.io/binary-husky/gpt_academic_chatglm_moss:master  # (Auto Built by Dockerfile: docs/Dockerfile+ChatGLM)
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx                                            '
      USE_PROXY:                '    True                                                                                           '
      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
      AVAIL_LLM_MODELS:         '    ["chatglm", "qwen", "moss", "gpt-3.5-turbo", "gpt-4", "newbing"]                               '
      LOCAL_MODEL_DEVICE:       '    cuda                                                                                           '
      DEFAULT_WORKER_NUM:       '    10                                                                                             '
      WEB_PORT:                 '    12303                                                                                          '
      ADD_WAIFU:                '    True                                                                                           '
      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '

    # 显卡的使用，nvidia0指第0个GPU
    runtime: nvidia
    devices:
      - /dev/nvidia0:/dev/nvidia0

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      bash -c "python3 -u main.py"

    # P.S. 通过对 command 进行微调，可以便捷地安装额外的依赖
    # command: >
    #   bash -c "pip install -r request_llms/requirements_qwen.txt && python3 -u main.py"


### ===================================================
### 「方案三」 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型
### ===================================================
version: '3'
services:
  gpt_academic_with_rwkv:
    image: ghcr.io/binary-husky/gpt_academic_jittorllms:master
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx  '
      USE_PROXY:                '    True                                                                                           '
      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "newbing", "jittorllms_rwkv", "jittorllms_pangualpha", "jittorllms_llama"]   '
      LOCAL_MODEL_DEVICE:       '    cuda                                                                                           '
      DEFAULT_WORKER_NUM:       '    10                                                                                             '
      WEB_PORT:                 '    12305                                                                                          '
      ADD_WAIFU:                '    True                                                                                           '
      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '

    # 显卡的使用，nvidia0指第0个GPU
    runtime: nvidia
    devices:
      - /dev/nvidia0:/dev/nvidia0

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      python3 -u main.py


## ===================================================
## 「方案四」 ChatGPT + Latex
## ===================================================
version: '3'
services:
  gpt_academic_with_latex:
    image: ghcr.io/binary-husky/gpt_academic_with_latex:master  # (Auto Built by Dockerfile: docs/GithubAction+NoLocal+Latex)
    # 对于ARM64设备，请将以上镜像名称替换为 ghcr.io/binary-husky/gpt_academic_with_latex_arm:master
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx                              '
      USE_PROXY:                '    True                                                                             '
      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }   '
      LLM_MODEL:                '    gpt-3.5-turbo                                                                    '
      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "gpt-4"]                                                       '
      LOCAL_MODEL_DEVICE:       '    cuda                                                                             '
      DEFAULT_WORKER_NUM:       '    10                                                                               '
      WEB_PORT:                 '    12303                                                                            '

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      bash -c "python3 -u main.py"


## ===================================================
## 「方案五」 ChatGPT + 语音助手 （请先阅读 docs/use_audio.md）
## ===================================================
version: '3'
services:
  gpt_academic_with_audio:
    image: ghcr.io/binary-husky/gpt_academic_audio_assistant:master
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    fk195831-IdP0Pb3W6DCMUIbQwVX6MsSiyxwqybyS                        '
      USE_PROXY:                '    False                                                            '
      proxies:                  '    None                                                             '
      LLM_MODEL:                '    gpt-3.5-turbo                                                    '
      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "gpt-4"]                                       '
      ENABLE_AUDIO:             '    True                                                             '
      LOCAL_MODEL_DEVICE:       '    cuda                                                             '
      DEFAULT_WORKER_NUM:       '    20                                                               '
      WEB_PORT:                 '    12343                                                            '
      ADD_WAIFU:                '    True                                                             '
      THEME:                    '    Chuanhu-Small-and-Beautiful                                      '
      ALIYUN_APPKEY:            '    RoP1ZrM84DnAFkZK                                                 '
      ALIYUN_TOKEN:             '    f37f30e0f9934c34a992f6f64f7eba4f                                 '
      # (无需填写) ALIYUN_ACCESSKEY:         '    LTAI5q6BrFUzoRXVGUWnekh1                                         '
      # (无需填写) ALIYUN_SECRET:            '    eHmI20AVWIaQZ0CiTD2bGQVsaP9i68                                   '

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      bash -c "python3 -u main.py"