开始使用

环境配置完成后，启动步骤为先启动chatchat-server，然后启动chatchat-frontend。 chatchat可通过pypi安装一键启动，您也可以选择使用源码启动。(Tips: 源码配置可以帮助我们更快的寻找bug，或者改进基础设施。我们不建议新手使用这个方式)

pypi安装一键启动

  • 安装chatchat
pip install langchain-chatchat -U

注意：chatchat请放在独立的虚拟环境中，比如conda，venv，virtualenv等

已知问题，不能跟xf一起安装，会让一些插件出bug，例如文件无法上传

工作空间配置

操作指令 chatchat-config

 
Usage: chatchat-config [OPTIONS] COMMAND [ARGS]...

  指令` chatchat-config` 工作空间配置

Options:
  --help  Show this message and exit.

Commands:
  basic   基础配置
  kb      知识库配置
  model   模型配置
  server  服务配置

模型服务配置

如果您已经有了一个openai endpoint的能力的地址，可以在configs._model_config.py文件中MODEL_PLATFORMS直接配置

  • platform_name 可以任意填写，不要重复即可
  • platform_type 以后可能根据平台类型做一些功能区分,与platform_name一致即可
  • 将框架部署的模型填写到对应列表即可。不同框架可以加载同名模型，项目会自动做负载均衡。

自定义平台加载

可以通过 model_providers 提供转换不同平台的接口为openai endpoint的能力

配置CHATCHAT_ROOT文件夹configs中的model_providers.yaml文件，即可完成自定义平台加载

 
vim model_providers.yaml

注意: 在您配置平台之前，请确认平台依赖完整，例如智谱平台，您需要安装智谱sdk pip install zhipuai

详细配置请参考README.md

初始化知识库

chatchat-kb -r

启动服务

chatchat -a

模型？

chatchat 0.3版本中，为保证平台、模型、及本地服务的兼容，在保证可扩展性的同时，
我们对模型的加载进行了重新设计. chatchat 0.3之后的版本，我们将分离模型加载和服务启动. 您可以使用提供了`openaiEndpoint`任何服务,
可以在`configs._model_config.py`文件中MODEL_PLATFORMS直接配置

部署手册

移步这里 xinference环境配置手册

Key dates

PyPI data
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  • Released:
Newer release available (0.3.1.3)

1 maintainer

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Data sourced directly from PyPI's database.
Avatar for glide-the from gravatar.com glide-the

Credits

Author: chatchat

Requires

Python !=2.7.*, !=3.0.*, !=3.1.*, !=3.12.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, >=3.8

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