fix readme

README.md

@@ -16,6 +16,8 @@
 
 </div>
 
+If you like this project, please leave a Star ⭐️ for it. Or you can buy the author a cup of coffee => [Support the author](./public/imgs/aw.jpg) ❤️! 
+
 ## Overview
 
 Easy Dataset is a specialized application designed to streamline the creation of fine-tuning datasets for Large Language Models (LLMs). It offers an intuitive interface for uploading domain-specific files, intelligently splitting content, generating questions, and producing high-quality training data for model fine-tuning.
@@ -37,13 +39,58 @@ With Easy Dataset, you can transform your domain knowledge into structured datas
 
 ## Getting Started
 
-### Prerequisites
+### Download Client
+
+<table style="width: 400px">
+  <tr>
+    <td width="25%" align="center">
+      <b>Windows</b>
+    </td>
+    <td width="25%" align="center" colspan="2">
+      <b>MacOS</b>
+    </td>
+    <td width="25%" align="center">
+      <b>Linux</b>
+    </td>
+  </tr>
+  <tr style="text-align: center">
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/windows.png' style="height:24px; width: 24px" />
+        <br />
+        <b>Setup.exe</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/mac.png' style="height:24px; width: 24px" />
+        <br />
+        <b>Intel</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/mac.png' style="height:24px; width: 24px" />
+        <br />
+        <b>M</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/linux.png' style="height:24px; width: 24px" />
+        <br />
+        <b>AppImage</b>
+      </a>
+    </td>
+  </tr>
+</table>
 
-- Node.js 18.x or higher
-- pnpm (recommended) or npm
 
 ### Using npm
 
+- Node.js 18.x or higher
+- pnpm (recommended) or npm
+
 1. Clone the repository:
    ```bash
    git clone https://github.com/ConardLi/easy-dataset.git
@@ -228,6 +275,10 @@ Please make sure to update tests as appropriate and adhere to the existing codin
 
 This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
 
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=ConardLi/easy-dataset&type=Date)](https://www.star-history.com/#ConardLi/easy-dataset&Date)
+
 
 <div align="center">
   <sub>Built with ❤️ by <a href="https://github.com/ConardLi">ConardLi</a> • Follow  me：<a href="https://mp.weixin.qq.com/s/ac9XWvVsaXpSH1HH2x4TRQ">WeChat</a>｜<a href="https://space.bilibili.com/474921808">Bilibili</a>｜<a href="https://juejin.cn/user/3949101466785709">Juijin</a>｜<a href="https://www.zhihu.com/people/wen-ti-chao-ji-duo-de-xiao-qi">Zhihu</a></sub>

README.zh-CN.md

@@ -16,6 +16,9 @@
 
 </div>
 
+
+如果喜欢本项目，请给本项目留下 Star⭐️，或者请作者喝杯咖啡呀 => [打赏作者](./public/imgs/aw.jpg) ❤️！
+
 ## 概述
 
 Easy Dataset 是一个专为创建大型语言模型（LLM）微调数据集而设计的应用程序。它提供了直观的界面，用于上传特定领域的文件，智能分割内容，生成问题，并为模型微调生成高质量的训练数据。
@@ -37,6 +40,55 @@ Easy Dataset 是一个专为创建大型语言模型（LLM）微调数据集而
 
 ## 本地运行
 
+### 下载客户端
+
+<table style="width: 100%">
+  <tr>
+    <td width="25%" align="center">
+      <b>Windows</b>
+    </td>
+    <td width="25%" align="center" colspan="2">
+      <b>MacOS</b>
+    </td>
+    <td width="25%" align="center">
+      <b>Linux</b>
+    </td>
+  </tr>
+  <tr style="text-align: center">
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/windows.png' style="height:24px; width: 24px" />
+        <br />
+        <b>Setup.exe</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/mac.png' style="height:24px; width: 24px" />
+        <br />
+        <b>Intel</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/mac.png' style="height:24px; width: 24px" />
+        <br />
+        <b>M</b>
+      </a>
+    </td>
+    <td align="center" valign="middle">
+      <a href='https://github.com/ConardLi/easy-dataset/releases/latest'>
+        <img src='./public/imgs/linux.png' style="height:24px; width: 24px" />
+        <br />
+        <b>AppImage</b>
+      </a>
+    </td>
+  </tr>
+</table>
+
+
+
+
 ### 使用 NPM 安装
 
 1. 克隆仓库：
@@ -65,25 +117,7 @@ Easy Dataset 是一个专为创建大型语言模型（LLM）微调数据集而
 
 4. 打开浏览器并访问 `http://localhost:3000`
 
-### 使用 Docker
-
-1. 拉取镜像：
-
-
-```bash
-   docker pull conardli17/easy-dataset:latest
-   ```
-
-2. 运行容器：
-
-
-```bash
-   docker run -d -p 3000:3000 -v {YOUR_LOCAL_DB_PATH}:/app/local-db --name easy-dataset conardli17/easy-dataset:latest
-   ```
-
-> 注意：为了防止数据丢失，YOUR_LOCAL_DB_PATH 应替换为你希望存储本地数据库的路径。
 
-3. 打开浏览器并访问 `http://localhost:3000`
 
 ## 使用方法
 
@@ -209,7 +243,8 @@ easy-dataset/
 
 ## 文档
 
-有关所有功能和 API 的详细文档，请访问我们的[文档站点](https://github.com/ConardLi/easy-dataset/wiki)。
+- 查看本项目的演示视频：[Easy Dataset 演示视频](https://www.bilibili.com/video/BV1y8QpYGE57/)
+- 有关所有功能和 API 的详细文档，请访问我们的[文档站点](https://github.com/ConardLi/easy-dataset/wiki)。
 
 ## 贡献
 
@@ -228,6 +263,10 @@ easy-dataset/
 
 本项目采用 Apache License 2.0 许可证 - 有关详细信息，请参阅 [LICENSE](LICENSE) 文件。
 
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=ConardLi/easy-dataset&type=Date)](https://www.star-history.com/#ConardLi/easy-dataset&Date)
+
 <div align="center">
   <sub>由 <a href="https://github.com/ConardLi">ConardLi</a> 用 ❤️ 构建 • 关注我：<a href="https://mp.weixin.qq.com/s/ac9XWvVsaXpSH1HH2x4TRQ">公众号</a>｜<a href="https://space.bilibili.com/474921808">B站</a>｜<a href="https://juejin.cn/user/3949101466785709">掘金</a>｜<a href="https://www.zhihu.com/people/wen-ti-chao-ji-duo-de-xiao-qi">知乎</a></sub>
 </div>