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doc:dbgpt-server docs

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1.update .env.template
2.update getting started
This commit is contained in:
aries_ckt
2023-07-05 17:55:00 +08:00
parent 469f5007ae
commit 47595aa10f
3 changed files with 29 additions and 40 deletions
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docs/getting_started/getting_started.md
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@@ -39,7 +39,7 @@ python -m spacy download zh_core_web_sm
Once the environment is installed, we have to create a new folder "models" in the DB-GPT project, and then we can put all the models downloaded from huggingface in this directory
make sure you have install git-lfs
Notice make sure you have install git-lfs
```
git clone https://huggingface.co/Tribbiani/vicuna-13b
git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
@@ -74,16 +74,14 @@ set .env configuration set your vector store type, eg:VECTOR_STORE_TYPE=Chroma,
```bash
$ python pilot/server/dbgpt_server.py
```
Open http://localhost:5000 with your browser to see the product.
3. Run new webui
If you want to access an external LLM service, you need to 1.set the variables LLM_MODEL=YOUR_MODEL_NAME MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env file.
2.execute dbgpt_server.py in light mode
```bash
$ cd datacenter
$ npm i
$ npm run dev
$ python pilot/server/dbgpt_server.py --light
```
Notice: make sure node.js is the latest version, learn more about db-gt webui,
read https://github.com/csunny/DB-GPT/tree/new-page-framework/datacenter
Open http://localhost:3000 with your browser to see the result.
If you want to learn about dbgpt-webui, read https://github.com/csunny/DB-GPT/tree/new-page-framework/datacenter