docker-compose.yml

#【请修改完参数后，删除此行】请在以下方案中选择一种，然后删除其他的方案，最后docker-compose up运行 | Please choose from one of these options below, delete other options as well as This Line

## ===================================================
## 【方案一】 如果不需要运行本地模型（仅chatgpt,newbing类远程服务）
## ===================================================
version: '3'
services:
  gpt_academic_nolocalllms:
    image: ghcr.io/binary-husky/gpt_academic_nolocal: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", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "newbing"]                    '
      WEB_PORT:                 '    22303                                                                                          '
      ADD_WAIFU:                '    True                                                                                           '
      # DEFAULT_WORKER_NUM:       '    10                                                                                             '
      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '

    # 与宿主的网络融合
    network_mode: "host"

    # 不使用代理网络拉取最新代码
    command: >
      bash -c "python3 -u main.py"


### ===================================================
### 【方案二】 如果需要运行ChatGLM本地模型
### ===================================================
version: '3'
services:
  gpt_academic_with_chatglm:
    image: ghcr.io/binary-husky/gpt_academic_chatglm_moss: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:         '    ["chatglm", "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
      
    # 与宿主的网络融合
    network_mode: "host"
    command: >
      bash -c "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: fuqingxu/gpt_academic:jittorllms    # [option 2] 如果需要运行ChatGLM本地模型
    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
      
    # 与宿主的网络融合
    network_mode: "host"

    # 使用代理网络拉取最新代码
    # command: >
    #   bash -c "       truncate -s -1 /etc/proxychains.conf &&
    #                   echo \"socks5 127.0.0.1 10880\" >> /etc/proxychains.conf &&
    #                   echo '[gpt-academic] 正在从github拉取最新代码...' &&
    #                   proxychains git pull &&
    #                   echo '[jittorllms] 正在从github拉取最新代码...' &&
    #                   proxychains git --git-dir=request_llm/jittorllms/.git --work-tree=request_llm/jittorllms pull --force &&
    #                   python3 -u main.py"

    # 不使用代理网络拉取最新代码
    command: >
      bash -c "       echo '[gpt-academic] 正在从github拉取最新代码...' &&
                      git pull &&
                      echo '[jittorllms] 正在从github拉取最新代码...' &&
                      git --git-dir=request_llm/jittorllms/.git --work-tree=request_llm/jittorllms pull --force &&
                      python3 -u main.py"