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Merge pull request #627 from xiexin12138/feature/i18n
Translate the Readme file into Simplified Chinese
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<!-- markdownlint-disable MD030 -->
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# Flowise - 低代码LLM应用程序构建器
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[English](<./README.md>) | 中文
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拖放界面来构建自定义的LLM流程
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## ⚡快速入门
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1. 安装Flowise
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```bash
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npm install -g flowise
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```
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2. 启动Flowise
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```bash
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npx flowise start
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```
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3. 打开[http://localhost:3000](http://localhost:3000)
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## 🔒 身份验证
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要启用应用级身份验证,请将`FLOWISE_USERNAME`和`FLOWISE_PASSWORD`添加到`.env`文件中:
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```
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FLOWISE_USERNAME=user
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FLOWISE_PASSWORD=1234
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```
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## 🌱 环境变量
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Flowise支持不同的环境变量来配置您的实例。您可以在`packages/server`文件夹中的`.env`文件中指定以下变量。阅读[更多](https://docs.flowiseai.com/environment-variables)
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| 变量 | 描述 | 类型 | 默认值 |
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| ---------------- | ---------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
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| PORT | Flowise运行的HTTP端口 | 数字 | 3000 |
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| FLOWISE_USERNAME | 登录的用户名 | 字符串 | |
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| FLOWISE_PASSWORD | 登录的密码 | 字符串 | |
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| DEBUG | 打印组件的日志 | 布尔值 | |
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| LOG_PATH | 存储日志文件的位置 | 字符串 | `your-path/Flowise/logs` |
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| LOG_LEVEL | 日志的不同级别 | 枚举字符串:`error`、`info`、`verbose`、`debug` | `info` |
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| APIKEY_PATH | 存储API密钥的位置 | 字符串 | `your-path/Flowise/packages/server` |
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| EXECUTION_MODE | 预测是在其自己的进程中运行还是在主进程中运行 | 枚举字符串:`child`、`main` | `main` |
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| TOOL_FUNCTION_BUILTIN_DEP | 用于工具函数的NodeJS内置模块 | 字符串 | |
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| TOOL_FUNCTION_EXTERNAL_DEP | 用于工具函数的外部模块 | 字符串 | |
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| OVERRIDE_DATABASE | 使用默认值覆盖当前数据库 | 枚举字符串:`true`、`false` | `true` |
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| DATABASE_TYPE | 存储flowise数据的数据库类型 | 枚举字符串:`sqlite`、`mysql`、`postgres` | `sqlite` |
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| DATABASE_PATH | 数据库的保存位置(当DATABASE_TYPE为sqlite时) | 字符串 | `your-home-dir/.flowise` |
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| DATABASE_HOST | 主机URL或IP地址(当DATABASE_TYPE不为sqlite时) | 字符串 | |
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| DATABASE_PORT | 数据库端口(当DATABASE_TYPE不为sqlite时) | 字符串 | |
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| DATABASE_USERNAME | 数据库用户名(当DATABASE_TYPE不为sqlite时) | 字符串 | |
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| DATABASE_PASSWORD | 数据库密码(当DATABASE_TYPE不为sqlite时) | 字符串 | |
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| DATABASE_NAME | 数据库名称(当DATABASE_TYPE不为sqlite时) | 字符串 | |
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您还可以在使用`npx`时指定环境变量。例如:
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```
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npx flowise start --PORT=3000 --DEBUG=true
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```
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## 📖 文档
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[Flowise文档](https://docs.flowiseai.com/)
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## 🌐 自托管
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### [Railway](https://docs.flowiseai.com/deployment/railway)
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[](https://railway.app/template/YK7J0v)
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### [Render](https://docs.flowiseai.com/deployment/render)
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[](https://docs.flowiseai.com/deployment/render)
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### [AWS](https://docs.flowiseai.com/deployment/aws)
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### [Azure](https://docs.flowiseai.com/deployment/azure)
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### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean)
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### [GCP](https://docs.flowiseai.com/deployment/gcp)
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## 💻 云托管
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即将推出
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## 🙋 支持
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在[讨论区](https://github.com/FlowiseAI/Flowise/discussions)中随时提出任何问题、报告问题和请求新功能。
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## 🙌 贡献
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请参阅[贡献指南](https://github.com/FlowiseAI/Flowise/blob/master/CONTRIBUTING.md)。如果您有任何问题或问题,请在[Discord](https://discord.gg/jbaHfsRVBW)上与我们联系。
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## 📄 许可证
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本仓库中的源代码在[MIT许可证](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md)下提供。
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@@ -2,6 +2,8 @@
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# Flowise - Low-Code LLM apps builder
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English | [中文](<./README-ZH.md>)
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Drag & drop UI to build your customized LLM flow
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