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tools/oepkgs-talk-robot/txt/md_read.py create mode 100644 tools/oepkgs-talk-robot/txt/que_ans.json create mode 100644 tools/oepkgs-talk-robot/webui.py diff --git a/doc/oepkgs-talk-robot-README.md b/doc/oepkgs-talk-robot-README.md new file mode 100644 index 0000000..8b15159 --- /dev/null +++ b/doc/oepkgs-talk-robot-README.md @@ -0,0 +1,123 @@ +# OpenEuler智能问答系统 + +## 系统简介 + +基于openEuler平台完成了一个文本机器人服务，该服务利用大模型技术和Chatbot技术，能够在对话中收集关键信息，也可以针对现有知识库对于相关问题进行回答，同时对于准确度要求较高的问题，同时融合了对话和信息检索的技术 + +## 原理介绍 + +ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型，基于 [General Language Model (GLM)](https://github.com/THUDM/GLM) 架构，具有 62 亿参数。结合模型量化技术，用户可以在消费级的显卡上进行本地部署（INT4 量化级别下最低只需 6GB 显存）。 ChatGLM-6B 使用了和 ChatGPT 相似的技术，针对中文问答和对话进行了优化。经过约 1T 标识符的中英双语训练，辅以监督微调、反馈自助、人类反馈强化学习等技术的加持，62 亿参数的 ChatGLM-6B 已经能生成相当符合人类偏好的回答。 + +基于知识库项目参考一种利用 [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) + [langchain](https://github.com/hwchase17/langchain) 实现的基于本地知识的 ChatGLM 应用。增加 [clue-ai/ChatYuan](https://github.com/clue-ai/ChatYuan) 项目的模型 [ClueAI/ChatYuan-large-v2](https://huggingface.co/ClueAI/ChatYuan-large-v2) 的支持。 受 [GanymedeNil](https://github.com/GanymedeNil) 的项目 [document.ai](https://github.com/GanymedeNil/document.ai) 和 [AlexZhangji](https://github.com/AlexZhangji) 创建的 [ChatGLM-6B Pull Request](https://github.com/THUDM/ChatGLM-6B/pull/216) 启发，建立了全部基于开源模型实现的本地知识问答应用。 + +本项目中 Embedding 默认选用的是 [GanymedeNil/text2vec-large-chinese](https://huggingface.co/GanymedeNil/text2vec-large-chinese/tree/main)，LLM 默认选用的是 [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B)。依托上述模型，本项目可实现全部使用**开源**模型**离线私有部署**。 + +本模块实现原理如下图所示，过程包括加载文件 -> 读取文本 -> 文本分割 -> 文本向量化 -> 问句向量化 -> 在文本向量中匹配出与问句向量最相似的`top k`个 -> 匹配出的文本作为上下文和问题一起添加到`prompt`中 -> 提交给`LLM`生成回答。 + +![实现原理图](img/langchain+chatglm.png) + +基于信息检索的模块则是通过构建检索对，对于专业领域的问题进行询问，使得回复关键问题的时候答案准确、全面、具体，可操作性强。 + +🚩 本项目未涉及微调、训练过程，但可利用微调或训练对本项目效果进行优化。 + +## 硬件需求 + +- ChatGLM-6B 模型硬件需求 + + | **量化等级** | **最低 GPU 显存**（推理） | **最低 GPU 显存**（高效参数微调） | + | -------------- | ------------------------- | --------------------------------- | + | FP16（无量化） | 13 GB | 14 GB | + | INT8 | 8 GB | 9 GB | + | INT4 | 6 GB | 7 GB | + +- Embedding 模型硬件需求 + + 本项目中默认选用的 Embedding 模型 [GanymedeNil/text2vec-large-chinese](https://huggingface.co/GanymedeNil/text2vec-large-chinese/tree/main) 约占用显存 3GB，也可修改为在 CPU 中运行。 + + +## 开发部署 + +### 软件需求 + +本项目已在 Python 3.8 - 3.10，CUDA 11.7 环境下完成测试。已在 Windows、ARM 架构的 macOS、Linux 系统中完成测试。 + +### 从本地加载模型 + +请参考 [THUDM/ChatGLM-6B#从本地加载模型](https://github.com/THUDM/ChatGLM-6B#从本地加载模型) + +### 1. 安装环境 + +参见 [安装指南](docs/INSTALL.md)。 + +### 2. 设置模型默认参数 + +在开始执行 Web UI 或命令行交互前，请先检查 [configs/model_config.py](configs/model_config.py) 中的各项模型参数设计是否符合需求。 + +### 3. 执行脚本体验 Web UI 或命令行交互 + +> 注：鉴于环境部署过程中可能遇到问题，建议首先测试命令行脚本。建议命令行脚本测试可正常运行后再运行 Web UI。 + +执行 [cli_demo.py](cli_demo.py) 脚本体验**命令行交互**： +```shell +$ python cli_demo.py +``` + +或执行 [webui.py](webui.py) 脚本体验 **Web 交互** + +```shell +$ python webui.py +``` + +注：如未将模型下载至本地，请执行前检查`$HOME/.cache/huggingface/`文件夹剩余空间，至少15G。 + +执行后效果如下图所示： +![](img\wps535A.tmp.jpg) +Web UI 可以实现如下功能： + +1. 运行前自动读取`configs/model_config.py`中`LLM`及`Embedding`模型枚举及默认模型设置运行模型，如需重新加载模型，可在 `模型配置` 标签页重新选择后点击 `重新加载模型` 进行模型加载； +2. 可手动调节保留对话历史长度、匹配知识库文段数量，可根据显存大小自行调节； +3. 具备模式选择功能，可选择 `LLM对话` 、 `知识库问答`和`信息检索` 模式进行对话，支持流式对话； +4. 添加 `配置知识库` 功能，支持选择已有知识库或新建知识库，并可向知识库中**新增**上传文件/文件夹，使用文件上传组件选择好文件后点击 `上传文件并加载知识库`，会将所选上传文档数据加载至知识库中，并基于更新后知识库进行问答； +5. 添加`信息检索`功能，支持对于内置问题实现检索访问，具体通过md文档增量式构建检索对的方式见文档。 + +## 用户交互 + +#### 页面1——LLM对话页面 + +支持直接与大模型进行对话，实现简单问答和功能询问等。 + +![img](img\wps5359.tmp.jpg) + +该页面主要为对话框和右侧导航栏。左侧对话框展示了系统的一些基本信息和说明情况，同时包含对话框，支持用户进行文本框的输入，对模型进行提问，同时模型会进行推理，在文本框上进行回答，类似于聊天界面。右侧导航栏显示当前模式，为“LLM对话”，支持直接与系统助手进行对话，回答一些基本问题。文本框栏主要包括文本的输入，进行提问，同时会类似于聊天的形式给出回答。 + +#### 页面2——知识库问答界面 + +支持新建知识库，选择知识库名称后，即可开始问答，如有需要可以在选择知识库名称后上传文件/文件夹至知识库。 + +![img](img\wps535A.tmp.jpg) + +该页面主要为对话框和右侧导航栏。左侧对话框展示了系统的一些基本信息和说明情况，同时包含对话框，支持用户进行文本框的输入，对模型进行提问，同时模型会进行推理，在文本框上进行回答，类似于聊天界面。右侧导航栏显示当前模式，为“知识库问答”，可以通过新建知识库或者进行知识库的选择，实现文件上传，对于知识库的相关信息进行提问。支持新建知识库 + +支持文件上传。 + +![img](img\wps535C.tmp.jpg) + +支持文件夹上传。 + +![img](img\wps535D.tmp.jpg) + +#### 页面3——信息检索 + +支持针对一系列的问题进行问答，输入"当前可检索问题"即可查看相应所有问题，同时支持追问。 + +![](img\wps535E.tmp.jpg) + +该页面主要为对话框和右侧导航栏。左侧对话框展示了系统的一些基本信息和说明情况，同时包含对话框，支持用户进行文本框的输入，对模型进行提问，同时模型会进行推理，在文本框上进行回答，类似于聊天界面。右侧导航栏显示当前模式，为“信息检索”，针对一系列的问题进行问答，输入"当前可检索问题"即可查看相应所有问题，同时支持追问。 + +支持查看可检索问题。 + +![img](img\wps535F.tmp.jpg) + +### 常见问题 + +参见 [常见问题](docs/FAQ.md)。 diff --git "a/doc/oepkgs-talk-robot-\350\257\246\347\273\206\350\256\276\350\256\241\346\226\207\346\241\243.pdf" "b/doc/oepkgs-talk-robot-\350\257\246\347\273\206\350\256\276\350\256\241\346\226\207\346\241\243.pdf" new file mode 100644 index 0000000000000000000000000000000000000000..26ec37e01b7b46ab48e3714436515c8d62ff0eff GIT binary patch literal 911809 zcmeFXRa718voA_;2<{NvT_zKEcXti$?k>Rz8rHK zxMSQN^P#)C>MQ+zRo%16b04pIg3mc&hA%h$tGZQNzg9sr22m~;*5HiRT zGBXk~C=+rpvM@6<5%TiF!y4Nd{k<&V|CIwC79Q5k!Pw*-bL{e9(aG|I)$2%JgqpHpV~v_>g5||05qCG>I%Tj#Qrb6%z%#|{9z08 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