Seamingless model training
Project description
Develop AIbro_lib
- git clone the repo to local computer
python3 -m venv venv; .venv/bin/activate
pip install -r requirements.txt
- Create a
.env
file to contain environment variables:
SERVER_HOST="<YOUR SERVER HOST>"
IS_LOCAL=true
- Make sure the debug AIbro server is on and
SERVER_HOST
in.env
is equal to the server of your choice - Run the function of your choice to debug
Code review
All new changes should be reviewed before merged.
Update dependencies
DO NOT directly run pip install
or pip freeze
. Instead, add the library to requirements.in
then run pip-compile
for better dependency management (need to run pip install pip-tools
first)
Update library versions
- Your change is reviewed and merged
- Pump version number in
setup.py
- run
rm -r dist; python3 -m build; python3 -m twine upload --repository testpypi dist/*
- Check that your version has been updated
Project details
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