使用1panel进行docker部署

[shdahdi]

安装好1panel之后在应用商店找到openresty和docker compose安装(点容器会有一键安装)

安装好之后点击容器创建编排模板

我是用方法四：

## ===================================================
## 「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-xxx                           '
      DEEPSEEK_API_KEY: 'sk-xxx                               '
     #如果用的官方key API_URL_REDIRECT就可以删掉，中转key就自己填中转服务商
      API_URL_REDIRECT: '{"https://api.openai.com/v1/chat/completions": "https://xxx.yyy.zzz/v1/chat/completions", "https://api.deepseek.com/v1/chat/completions": "https://xxx.yyy.zzz/v1/chat/completions"}'
      
      USE_PROXY:                '    False                                                                             '
      LLM_MODEL:                '    o1-mini                                                                    '
      AVAIL_LLM_MODELS:         '    ["qwen-max", "o1-mini", "deepseek-coder", "deepseek-reasoner", "o1-mini-2024-09-12", "o1", "o1-2024-12-17", "o1-preview", "o1-preview-2024-09-12", "gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview", "gpt-4o", "gpt-4o-mini", "gpt-4-turbo", "gpt-4-turbo-2024-04-09", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5", "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-4v", "glm-3-turbo", "gemini-1.5-pro", "chatglm3", "chatglm4"]                                                       '
      LOCAL_MODEL_DEVICE:       '    cuda                                                                             '
      DEFAULT_WORKER_NUM:       '    16                                                                               '
      WEB_PORT:                 '    22303                                                                            '

    # 「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"

#编排好之后就可以使用IP:22303进入
#如果要绑定域名可以点击网站

填好就行，域名记得解析到服务器
证书也可以依靠cloudflare申请