Generative Art

Introduction

Generative Art is a Python-based project designed to create stunning generative art using algorithms and randomization. The project leverages mathematical functions to generate unique images. The project includes the following key features:

• Generates unique images using mathematical functions.
• Automatically updates the README.md file with a grid layout of generated images.
• Automates workflows for generating and deleting art using GitHub Actions.

Built With

• Python 
• GitHub Actions 
• Black 
• nektos/act 

Explanation

The project is using Samila  to create generative art. Also, I’m using GitHub Actions to automate the generation of art based on a schedule. The generated images are stored in the output/images directory, and the README.md file is updated with a grid layout of these images. Besides, I also used nektos/act to run GitHub Actions locally. This allows me to test the workflow before pushing it to the repository.

git clone https://github.com/KarChunT/i-love-i-like-i-build.git
cd i-love-i-like-i-build/projects/generative-art

pip install -r requirements.txt

python main.py --help # show help
python main.py generate-art # generate art
python main.py generate-readme # generate readme
python main.py delete-art # delete art

act -W '.github/workflows/delete_art.yaml' -e act/delete-art-payload.json
act -W '.github/workflows/generate_art.yaml' -e act/generate-art-payload.json

Results