TianGong AI Assistants

Env Preparing

VSCode Dev Contariners

Python 3 -> Additional Options -> 3.11-bullseye -> ZSH Plugins (Last One) -> Trust @devcontainers-contrib -> Keep Defaults

Local Env

Install Python 3.11

sudo apt update
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.11

Setup venv:

python3.11 -m venv .venv
source .venv/bin/activate

Install requirements:

pip install --upgrade pip
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install -r requirements.txt --upgrade

sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get install -y libmagic-dev poppler-utils tesseract-ocr libreoffice pandoc

Install Cuda (optional):

sudo apt install nvidia-cuda-toolkit

Auto Build

The auto build will be triggered by pushing any tag named like v$version. For instance, push a tag named as v0.0.1 will build a docker image of 0.0.1 version.

#list existing tags
git tag
#creat a new tag
git tag v0.0.1
#push this tag to origin
git push origin v0.0.1

sphinx

sphinx-apidoc --force -o sphinx/source/ src/
sphinx-autobuild sphinx/source docs/

Production Run

docker run --detach \
    --name tiangong-agent \
    --restart=always \
    --expose 8501 \
    --net=tiangongbridge \
    --env ui=tiangong-en \
    --env VIRTUAL_HOST=YourURL \
    --env VIRTUAL_PORT=8501 \
    --env LETSENCRYPT_HOST=YourURL \
    --env LETSENCRYPT_EMAIL=YourEmail \
    image:tag