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ml_models_deployments

This repository is mainly using mlModelSaver

Tutorial youtube

for windows please use wsl

general installation

curl https://pyenv.run | bash
# or
curl https://pyenv.run | zsh

For zsh

echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.zshrc
echo '[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.zshrc
echo 'eval "$(pyenv init -)"' >> ~/.zshrc

pyenv on mac

On ubuntu

# https://github.com/pyenv/pyenv/issues/2888
sudo apt install build-essential libssl-dev zlib1g-dev \
libbz2-dev libreadline-dev libsqlite3-dev curl \
libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev

pyenv install 3.12.3
pyenv install 3.10

pyenv versions

pyenv global 3.12.3

How to install virtualenv

pip install virtualenv

Use vireualevn

virtualenv venv
source venv/bin/activate
pip install -r requirements.txt

Fast api development

fastapi dev main.py


uvicorn main:app --host=0.0.0.0 --port=${PORT:-9900}

if you install new dependency run this command and commit your code

pip install  mlModelSaver --upgrade
pip freeze > requirements.txt

Run Jupyter notebooks

export PYTHONPATH="${PYTHONPATH}:$(pwd)"
jupyter notebook \
        --notebook-dir="./notebooks" \
        --ip=0.0.0.0 --port=3225

deploy serverless

# https://www.deadbear.io/simple-serverless-fastapi-with-aws-lambda/amp/

pip install mangum


heroku git:remote jason-ml

heroku

heroku login

git push heroku master