* Add files via upload
* Update README.md
* use lru_cache to optimize loading of local vector store
---------
Co-authored-by: imClumsyPanda <littlepanda0716@gmail.com>
Co-authored-by: liunux <liunux@office>
* update QR Code
* Add files via upload
* Update README.md
* add streamlit ui including all functions of webui
---------
Co-authored-by: imClumsyPanda <littlepanda0716@gmail.com>
Fixes # None
Before submitting
If you want to review, please refer to the quick start example provided in langchain/chains/dialogue_answering/main.py. You may need to set the openaikey and the following startup parameters: --dialogue-path: the location of the dialogue file, --embedding-model: the HuggingFaceEmbeddings model to use (defaults to GanymedeNil/text2vec-large-chinese) if not specified.
Regarding the format of the dialogue file, please refer to the following information:
```text
sun:
Has the offline model been run?
glide-the:
Yes, it has been run, but the results are not very satisfactory.
glide-the:
It lacks chat intelligence and falls far behind in terms of logic and reasoning.
sun:
Are you available for voice chat?
glide-the:
I'm considering using this offline model: https://huggingface.co/chat
glide-the:
voice chat okay.
glide-the:
You can take a look at the dev_agent branch of the langchain-chatglm project.
glide-the:
There's a dialogue model question-answering example under the agent.
sun:
Alright.
glide-the:
The specified chat record file is exported from WeChat.
```
