在 Langchain-Chatchat v0.1.17 版本及以前是有前后端分离的 Vue 项目的,但是 v0.2.0 后就没有了。所以本文使用的是 Langchain-Chatchat v0.1.17 版本中的 Vue 项目。经过一番折腾终于将 Langchain-Chatchat v0.1.17 版本前端 Vue 接口和 Langchain-Chatchat v0.2.8 后端 API 接口调通了。
一.运行 Langchain-Chatchat
1.拉取源码
拉取 Langchain-Chatchat 源码(Langchain-Chatchat v0.2.8),如下所示:
git clone https://github.com/chatchat-space/Langchain-Chatchat.git
2.安装依赖包
安装依赖包,如下所示:
pip install -r .\requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
3.模型下载和配置
模型下载和配置(加速参考文献[3]),如下所示:
python hf_download.py --model THUDM/ChatGLM3-6B --save_dir ./hf_hub
python hf_download.py --model BAAI/bge-large-zh --save_dir ./hf_hub
4.初始化知识库和配置文件
初始化知识库和配置文件,如下所示:
$ python copy_config_example.py
$ python init_database.py --recreate-vs
Langchain-Chatchat-0.2.8->configs->model_config.py->embed_model-> 设置 bge-large-zh 本地路径,如下所示:
Langchain-Chatchat-0.2.8->configs->model_config.py->llm_model-> 设置 chatglm3-6b 本地路径,如下所示:
Langchain-Chatchat-0.2.8->configs->model_config.py->VLLM_MODEL_DICT-> 设置 chatglm3-6b 本地路径,如下所示:
5.python startup.py -a
$ python startup.py -a
手动安装 PyTorch 的 CUDA 版本,如下所示:
pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118
控制台输出的日志信息,如下所示:
import sys; print('Python %s on %s' % (sys.version, sys.platform))
Connected to pydev debugger (build 232.9559.58)
L:\20231106_ConversationSystem\ChatCopilot\Langchain\Langchain-Chatchat-0.2.8\venv\Scripts\python.exe "D:/Program Files/JetBrains/PyCharm 2023.1.3/plugins/python/helpers/pydev/pydevd.py" --multiprocess --qt-support=auto --client 127.0.0.1 --port 36490 --file L:\20231106_ConversationSystem\RasaLangchain\Langchain\Langchain-Chatchat-0.2.8\startup.py -a
==============================Langchain-Chatchat Configuration==============================
操作系统:Windows-10-10.0.19044-SP0.
python版本:3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
项目版本:v0.2.8
langchain版本:0.0.344. fastchat版本:0.2.34
当前使用的分词器:ChineseRecursiveTextSplitter
<strong>当前启动的LLM模型:['chatglm3-6b', 'zhipu-api', 'openai-api'] @ cuda</strong>
{'device': 'cuda',
'host': '127.0.0.1',
'infer_turbo': False,
'model_path': 'L:\\20230713_HuggingFaceModel\\GLM3\\chatglm3-6b',
'model_path_exists': True,
'port': 20002}
{'api_key': '',
'device': 'auto',
'host': '127.0.0.1',
'infer_turbo': False,
'online_api': True,
'port': 21001,
'provider': 'ChatGLMWorker',
'version': 'chatglm_turbo',
'worker_class': <class 'server.model_workers.zhipu.ChatGLMWorker'>}
{'api_base_url': 'https://api.openai.com/v1',
'api_key': '',
'device': 'auto',
'host': '127.0.0.1',
'infer_turbo': False,
'model_name': 'gpt-3.5-turbo',
'online_api': True,
'openai_proxy': '',
'port': 20002}
<strong>当前Embbedings模型: bge-large-zh @ cuda</strong>
==============================Langchain-Chatchat Configuration==============================
2023-12-24 08:18:36,235 - startup.py[line:650] - INFO: 正在启动服务:
2023-12-24 08:18:36,236 - startup.py[line:651] - INFO: 如需查看 llm_api 日志,请前往 L:\20231106_ConversationSystem\RasaLangchain\Langchain\Langchain-Chatchat-0.2.8\logs
2023-12-24 08:19:30 | INFO | model_worker | Register to controller
2023-12-24 08:19:37 | ERROR | stderr | INFO: Started server process [126488]
2023-12-24 08:19:37 | ERROR | stderr | INFO: Waiting for application startup.
2023-12-24 08:19:37 | ERROR | stderr | INFO: Application startup complete.
2023-12-24 08:19:37 | ERROR | stderr | INFO: Uvicorn running on http://127.0.0.1:20000 (Press CTRL+C to quit)
2023-12-24 08:21:18 | INFO | model_worker | Loading the model ['chatglm3-6b'] on worker bc7ce098 ...
Loading checkpoint shards: 0%| | 0/7 [00:00<?, ?it/s]
Loading checkpoint shards: 14%|█▍ | 1/7 [01:08<06:51, 68.62s/it]
Loading checkpoint shards: 29%|██▊ | 2/7 [02:16<05:42, 68.43s/it]
Loading checkpoint shards: 43%|████▎ | 3/7 [03:24<04:31, 67.83s/it]
Loading checkpoint shards: 57%|█████▋ | 4/7 [04:28<03:19, 66.62s/it]
Loading checkpoint shards: 71%|███████▏ | 5/7 [05:36<02:14, 67.16s/it]
Loading checkpoint shards: 86%|████████▌ | 6/7 [06:48<01:08, 68.75s/it]
Loading checkpoint shards: 100%|██████████| 7/7 [07:29<00:00, 59.44s/it]
Loading checkpoint shards: 100%|██████████| 7/7 [07:29<00:00, 64.15s/it]
2023-12-24 08:29:30 | ERROR | stderr |
2023-12-24 08:30:45 | INFO | model_worker | Register to controller
INFO: Started server process [125172]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:7861 (Press CTRL+C to quit)
==============================Langchain-Chatchat Configuration==============================
操作系统:Windows-10-10.0.19044-SP0.
python版本:3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
项目版本:v0.2.8
langchain版本:0.0.344. fastchat版本:0.2.34
当前使用的分词器:ChineseRecursiveTextSplitter
当前启动的LLM模型:['chatglm3-6b', 'zhipu-api', 'openai-api'] @ cuda
{'device': 'cuda',
'host': '127.0.0.1',
'infer_turbo': False,
'model_path': 'L:\\20230713_HuggingFaceModel\\GLM3\\chatglm3-6b',
'model_path_exists': True,
'port': 20002}
{'api_key': '',
'device': 'auto',
'host': '127.0.0.1',
'infer_turbo': False,
'online_api': True,
'port': 21001,
'provider': 'ChatGLMWorker',
'version': 'chatglm_turbo',
'worker_class': <class 'server.model_workers.zhipu.ChatGLMWorker'>}
{'api_base_url': 'https://api.openai.com/v1',
'api_key': '',
'device': 'auto',
'host': '127.0.0.1',
'infer_turbo': False,
'model_name': 'gpt-3.5-turbo',
'online_api': True,
'openai_proxy': '',
'port': 20002}
当前Embbedings模型: bge-large-zh @ cuda
<strong>服务端运行信息:</strong>
<strong> OpenAI API Server: http://127.0.0.1:20000/v1</strong>
<strong> Chatchat API Server: http://127.0.0.1:7861</strong>
<strong> Chatchat WEBUI Server: http://127.0.0.1:8501</strong>
==============================Langchain-Chatchat Configuration==============================
You can now view your Streamlit app in your browser.
URL: http://127.0.0.1:8501
2023-12-24 08:37:51,151 - _client.py[line:1027] - INFO: HTTP Request: POST http://127.0.0.1:20001/list_models "HTTP/1.1 200 OK"
INFO: 127.0.0.1:31565 - "POST /llm_model/list_running_models HTTP/1.1" 200 OK
2023-12-24 08:37:51,188 - _client.py[line:1027] - INFO: HTTP Request: POST http://127.0.0.1:7861/llm_model/list_running_models "HTTP/1.1 200 OK"
2023-12-24 08:37:51,331 - _client.py[line:1027] - INFO: HTTP Request: POST http://127.0.0.1:20001/list_models "HTTP/1.1 200 OK"
2023-12-24 08:37:51,337 - _client.py[line:1027] - INFO: HTTP Request: POST http://127.0.0.1:7861/llm_model/list_running_models "HTTP/1.1 200 OK"
INFO: 127.0.0.1:31565 - "POST /llm_model/list_running_models HTTP/1.1" 200 OK
INFO: 127.0.0.1:31565 - "POST /llm_model/list_config_models HTTP/1.1" 200 OK
2023-12-24 08:37:51,413 - _client.py[line:1027] - INFO: HTTP Request: POST http://127.0.0.1:7861/llm_model/list_config_models "HTTP/1.1 200 OK"
(1)OpenAI API Server: http://127.0.0.1/v1
(2)Chatchat API Server: http://127.0.0.1
这个是 Langchain-Chatchat v0.2.8 版本后端 API 接口文档,如下所示:
(3)Chatchat WEBUI Server: http://127.0.0.1
对话模式包括:LLM 对话,知识库问答,文件对话,搜索引擎问答,自定义 Agent 问答。
二.运行 Langchain-Chatchat-UI
在 Langchain-Chatchat v0.1.17 版本及以前是有前后端分离的 Vue 项目的,但是 v0.2.0 后就没有了。所以本文使用的是 Langchain-Chatchat v0.1.17 版本中的 Vue 项目。运行前端项目基本命令就是 npm install
,npm run dev
。
1.不能找到模块 node:path
当执行 npm run dev
时报错,显示 Error: Cannot find module 'node:path'
。如下所示:
以前用的 Vue2+Node 14.17.0,更换为 node-v16.16.0 就好了。执行命令,如下所示:
npm install npm@6 -g
npm cache clear --force
npm install
npm run dev
2.将前端 Vue 项目跑起来
这个是 Langchain-Chatchat v0.1.17 版本前端 Vue 的界面(Langchain-Chatchat v0.2.8 后端 API 接口有所调整,需要更新前端接口才能将其运行起来),如下所示:
3.遇到的问题
(1)搜索引擎接口
http://localhost:8090/api/chat/search_engine_chat
(2)知识库检索接口
http://localhost:8090/api/chat/file_chat
报错:未找到临时知识库 samples,请先上传文件,但是知识库是已经存在的。
原因:应该调用 knowledge_base_chat 知识库对话接口,而 file_chat 是与临时文件进行对话的接口。
调用 knowledge_base_chat 成功后的信息,如下所示:
(3)文件上传接口
http://localhost:8090/api/knowledge_base/upload_docs
说明:经过一番折腾终于将 Langchain-Chatchat v0.1.17 版本前端 Vue 接口和 Langchain-Chatchat v0.2.8 后端 API 接口调通了(前端界面暂不开源,若有问题可以交流)。
参考文献
[1] https://nodejs.org/download/release/v16.16.0/
[2] https://github.com/chatchat-space/Langchain-Chatchat
[3] https://github.com/LetheSec/HuggingFace-Download-Accelerator文章来源:https://www.toymoban.com/news/detail-777891.html
[4] https://pytorch.org/get-started/previous-versions/文章来源地址https://www.toymoban.com/news/detail-777891.html
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