convert chatbot zh-markdown to en

Author: lightislost

content/en/docs/acknowledgements/d1.acknowledgements.md

@@ -0,0 +1,16 @@
+---
+title: Acknowledgements
+slug: Acknowledgements
+description: 介绍主要功能
+url: "docs/acknowledgements"
+aliases:
+- "/docs/acknowledgements"
+---
+
+The documentation homepage of CodeFuse-ai is built on [docura](https://github.com/docura/docura)
+
+The ChatBot project is based on [langchain-chatchat](https://github.com/chatchat-space/Langchain-Chatchat) and [codebox-api](https://github.com/shroominic/codebox-api). 
+
+......
+
+Deep gratitude is extended for their open-source contributions!

content/en/docs/acnowledgements/d1.acknowledgements.md

@@ -7,9 +7,15 @@ aliases:
 - "/docs/quickstart"
 ---
 
+<p align="left">
+    <a href="/docs/quickstart-zh">中文</a>&nbsp ｜ &nbsp<a>English&nbsp </a>
+</p>
+
 ## 🚀 Quick Start
 
-Please install the Nvidia driver yourself; this project has been tested on Python 3.9.18, CUDA 11.7, Windows, and X86 architecture macOS systems.
+To deploy private models, please install the NVIDIA driver by yourself. 
+This project has been tested on Python 3.9.18 and CUDA 11.7 environments, as well as on Windows and macOS systems with x86 architecture.
+For Docker installation, private LLM access, and related startup issues, see: [Start-detail...](/docs/start-detail)
 
 ### Preparation of Python environment
 
@@ -23,7 +29,6 @@ conda activate Codefusegpt
 - Install related dependencies
 ```bash
 cd Codefuse-ChatBot
-# python=3.9，use notebook-latest，python=3.8 use notebook==6.5.5
 pip install -r requirements.txt
 ```
 
@@ -35,42 +40,47 @@ cd configs
 cp model_config.py.example model_config.py
 cp server_config.py.example server_config.py
 
-# model_config#11~12 If you need to use the openai interface, openai interface key
+# model_config#11~12 If you need to use the OpenAI interface, the OpenAI interface key
 os.environ["OPENAI_API_KEY"] = "sk-xxx"
-# You can replace the api_base_url yourself
+# Replace with the api_base_url you need
 os.environ["API_BASE_URL"] = "https://api.openai.com/v1"
 
-# vi model_config#105 You need to choose the language model
+# vi model_config#LLM_MODEL The language model you need to choose
 LLM_MODEL = "gpt-3.5-turbo"
+LLM_MODELs = ["gpt-3.5-turbo"]
 
-# vi model_config#43 You need to choose the vector model
+# vi model_config#EMBEDDING_MODEL The private vector model you need to choose
+EMBEDDING_ENGINE = 'model'
 EMBEDDING_MODEL = "text2vec-base"
 
-# vi model_config#25 Modify to your local path, if you can directly connect to huggingface, no modification is needed
-"text2vec-base": "shibing624/text2vec-base-chinese",
+# Example of vector model access, modify model_config#embedding_model_dict
+# If the model directory is:
+model_dir: ~/codefuse-chatbot/embedding_models/shibing624/text2vec-base-chinese
+# Configure as follows
+"text2vec-base": "shibing624/text2vec-base-chinese"
+
 
-# vi server_config#8~14, it is recommended to start the service using containers.
+# vi server_config#8~14, It's recommended to use a container to start the service to prevent environment conflicts when installing other dependencies using the codeInterpreter feature
 DOCKER_SERVICE = True
-# Whether to use container sandboxing is up to your specific requirements and preferences
+# Whether to use a container sandbox
 SANDBOX_DO_REMOTE = True
-# Whether to use api-service to use chatbot
-NO_REMOTE_API = True
 ```
 
 ### Start the Service
 
 By default, only webui related services are started, and fastchat is not started (optional).
 ```bash
-# if use codellama-34b-int4, you should replace fastchat's gptq.py
+# If you need to support the codellama-34b-int4 model, you need to patch fastchat
 # cp examples/gptq.py ~/site-packages/fastchat/modules/gptq.py
-# dev_opsgpt/service/llm_api.py#258 => kwargs={"gptq_wbits": 4},
+# Modify dev_opsgpt/llm_api.py#258 to kwargs={"gptq_wbits": 4},
 
-# start llm-service（可选）
-python dev_opsgpt/service/llm_api.py
+# Start llm-service (optional)
+python dev_opsgpt/llm_api.py
 ```
 
+For more LLM access methods, see [Details...](/docs/fastchat)
 ```bash
-# After configuring server_config.py, you can start with just one click.
+# After completing the server_config.py configuration, you can start with one click
 cd examples
-bash start_webui.sh
+python start.py
 ```

content/en/docs/chatbot/c1.quickstart.md

@@ -5,48 +5,50 @@ aliases:
 - "/docs/start-detail"
 ---
 
-请自行安装 nvidia 驱动程序，本项目已在 Python 3.9.18，CUDA 11.7 环境下，Windows、X86 架构的 macOS 系统中完成测试。
+<p align="left">
+    <a href="/docs/start-detail-zh">中文</a>&nbsp ｜ &nbsp<a>English&nbsp </a>
+</p>
 
-### python 环境准备
 
-- 推荐采用 conda 对 python 环境进行管理（可选）
+If you need to deploy a privatized model, please install the NVIDIA driver yourself.
+
+### Preparation of Python environment
+- It is recommended to use conda to manage the python environment (optional)
 ```bash
-# 准备 conda 环境
-conda create --name devopsgpt python=3.9
-conda activate devopsgpt
+# Prepare conda environment
+conda create --name Codefusegpt python=3.9
+conda activate Codefusegpt
 ```
 
-- 安装相关依赖
+- Install related dependencies
 ```bash
-cd codefuse-chatbot
-# python=3.9，notebook用最新即可，python=3.8用notebook=6.5.6
+cd Codefuse-ChatBot
 pip install -r requirements.txt
 ```
 
-### 沙盒环境准备
-- windows Docker 安装：
-[Docker Desktop for Windows](https://docs.docker.com/desktop/install/windows-install/) 支持 64 位版本的 Windows 10 Pro，且必须开启 Hyper-V（若版本为 v1903 及以上则无需开启 Hyper-V），或者 64 位版本的 Windows 10 Home v1903 及以上版本。
-
+### Sandbox Environment Preparation
+- Windows Docker installation:
+[Docker Desktop for Windows](https://docs.docker.com/desktop/install/windows-install/) supports 64-bit versions of Windows 10 Pro with Hyper-V enabled (Hyper-V is not required for versions v1903 and above), or 64-bit versions of Windows 10 Home v1903 and above.
   - [【全面详细】Windows10 Docker安装详细教程](https://zhuanlan.zhihu.com/p/441965046)
   - [Docker 从入门到实践](https://yeasy.gitbook.io/docker_practice/install/windows)
-  - [Docker Desktop requires the Server service to be enabled 处理](https://blog.csdn.net/sunhy_csdn/article/details/106526991)
+  - [Handling 'Docker Desktop requires the Server service to be enabled'](https://blog.csdn.net/sunhy_csdn/article/details/106526991)
   - [安装wsl或者等报错提示](https://learn.microsoft.com/zh-cn/windows/wsl/install)
 
-- Linux Docker 安装：
-Linux 安装相对比较简单，请自行 baidu/google 相关安装
+- Linux Docker installation：
+Linux installation is relatively simple, please search Baidu/Google for installation guides.
 
-- Mac Docker 安装
+- Mac Docker installation
   - [Docker 从入门到实践](https://yeasy.gitbook.io/docker_practice/install/mac)
 
 ```bash
-# 构建沙盒环境的镜像，notebook版本问题见上述
+# Build the image for the sandbox environment, see above for notebook version issues
 bash docker_build.sh
 ```
 
-### 模型下载（可选）
+### Model Download (Optional)
 
-如需使用开源 LLM 与 Embedding 模型可以从 HuggingFace 下载。
-此处以 THUDM/chatglm2-6bm 和 text2vec-base-chinese 为例：
+If you need to use open-source LLM and Embedding models, you can download them from HuggingFace.
+Here we take THUDM/chatglm2-6b and text2vec-base-chinese as examples:
 
 ```
 # install git-lfs
@@ -62,57 +64,60 @@ cp ~/shibing624/text2vec-base-chinese ~/codefuse-chatbot/embedding_models/
 ```
 
 
-### 基础配置
+
+### Basic Configuration
 
 ```bash
-# 修改服务启动的基础配置
+# Modify the basic configuration for service startup
 cd configs
 cp model_config.py.example model_config.py
 cp server_config.py.example server_config.py
 
-# model_config#11~12 若需要使用openai接口，openai接口key
+# model_config#11~12 If you need to use the OpenAI interface, the OpenAI interface key
 os.environ["OPENAI_API_KEY"] = "sk-xxx"
-# 可自行替换自己需要的api_base_url
+# Replace with the api_base_url you need
 os.environ["API_BASE_URL"] = "https://api.openai.com/v1"
 
-# vi model_config#LLM_MODEL 你需要选择的语言模型
+# vi model_config#LLM_MODEL The language model you need to choose
 LLM_MODEL = "gpt-3.5-turbo"
 LLM_MODELs = ["gpt-3.5-turbo"]
 
-# vi model_config#EMBEDDING_MODEL 你需要选择的私有化向量模型
+# vi model_config#EMBEDDING_MODEL The private vector model you need to choose
 EMBEDDING_ENGINE = 'model'
 EMBEDDING_MODEL = "text2vec-base"
 
-# vi model_config#embedding_model_dict 修改成你的本地路径，如果能直接连接huggingface则无需修改
-# 若模型地址为：
+# Example of vector model access, modify model_config#embedding_model_dict
+# If the model directory is:
 model_dir: ~/codefuse-chatbot/embedding_models/shibing624/text2vec-base-chinese
-# 配置如下
-"text2vec-base": "shibing624/text2vec-base-chinese",
+# Configure as follows
+"text2vec-base": "shibing624/text2vec-base-chinese"
+
 
-# vi server_config#8~14, 推荐采用容器启动服务
+# vi server_config#8~14, It's recommended to use a container to start the service to prevent environment conflicts when installing other dependencies using the codeInterpreter feature
 DOCKER_SERVICE = True
-# 是否采用容器沙箱
+# Whether to use a container sandbox
 SANDBOX_DO_REMOTE = True
-# 是否采用api服务来进行
-NO_REMOTE_API = True
 ```
 
-### 启动服务
 
-默认只启动webui相关服务，未启动fastchat（可选）。
+
+### Starting the Service
+
+By default, only the webui-related services are started, and fastchat is not started (optional).
+
 ```bash
-# 若需要支撑codellama-34b-int4模型，需要给fastchat打一个补丁
+# If you need to support the codellama-34b-int4 model, you need to patch fastchat
 # cp examples/gptq.py ~/site-packages/fastchat/modules/gptq.py
-# dev_opsgpt/service/llm_api.py#258 修改为 kwargs={"gptq_wbits": 4},
+# Modify dev_opsgpt/llm_api.py#258 to kwargs={"gptq_wbits": 4},
 
-# start llm-service（可选）
-python dev_opsgpt/service/llm_api.py
+# start llm-service (optional)
+python dev_opsgpt/llm_api.py
 ```
-更多LLM接入方法见[详情...](./fastchat.md)
+For more LLM integration methods, see[more details...](./fastchat.md)
 <br>
 
 ```bash
-# 完成server_config.py配置后，可一键启动
+# After completing the server_config.py configuration, you can start with one click
 cd examples
 python start.py
 ```