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‎README_ZH.md‎

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这是Codeinterpreter-codebox,作为执行code interpreter代码的云服务。<br>
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# Features
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1. 独立的jupyter沙盒环境
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## 📜 目录
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- [🎯 Key Features](#-key-features)
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- [💡 What Can You Do?](#-what-can-you-do)
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- [📋 Related Projects & Their Differences](#-related-projects--their-differences)
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- [💻 Sample Codes](#-sample-codes)
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- [📦 Deployment](#-deployment)
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- [📧 Contact](#-contact)
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## 🎯 Key Features
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1. 🐍**独立的jupyter沙盒环境**
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完全隔离的jupyter沙盒环境,支持状态保持的执行代码。支持文件上传、下载。
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2. docker化一键部署<br>
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2. 🐳**docker化一键部署**<br>
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3. 完全免费开源<br>
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4. 信息安全<br>
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3. 🌐**完全免费开源**<br>
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4. 🛡**信息安全**<br>
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支持完全私有化部署,无需上传文件到外部服务器<br>
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5. 更灵活 <br>
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5. 🚀**更灵活** <br>
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支持开放更多端口以实现更多自定义功能需求,如:连接数据库、连接互联网、连接其他服务器
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## 功能描述
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## 💡 What Can You Do?
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1. 执行python代码
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2. 支持上传文件的读取([上传文件并分析](./examples/client/codeinterpreter_session.py))
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```python
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4. 支持动态扩容的商业化部署
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5. 支持自定义功能修改,开放端口、网络连接等,支持爬虫。
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## 相关项目和差异
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## 📋 Related Projects & Their Differences
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1. [Code Interpreter api](https://github.com/shroominic/codeinterpreter-api)
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2. [open-interpreter](https://github.com/KillianLucas/open-interpreter)
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3. [E2B](https://github.com/e2b-dev/e2b)
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## 代码示例
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## 💻 Sample Codes
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1. [jupyter server communicate](./examples/jupyter/jupyter_api_test.ipynb) 中展示了server和jupyter container交互的细节
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2. [jupyter 调用](./examples/jupyter/execute_dynamic_code.ipynb)中展示了如何通过http request的方式调用web服务,执行代码获取结果
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session.close()
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```
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## 部署
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## 📦 Deployment
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1. **Install Docker**
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Linux: Install Docker by terminal
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Mac os: Install Docker desktop for mac
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docker-compose -f docker_dev.yml up
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```
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## 联系方式
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## 📧 Contact
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微信:zjajzzj1996
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Email: [zhangzhehian@gmail.com](zhangzhehian@gmail.com)

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