ml-gui

Creating a simple Machine Learning graphical user interface that will provide output.

Example Windows install and run

App build command

• pyinstaller --onefile --windowed mlgui.py or
• pyinstaller --noconfirm --clean mlgui.spec (this is preferred)

App run command

• ./dist/mlgui

App run commands without building

• python3 -m venv venv
• source venv/bin/activate
• pip install -r requirements.txt
• python mlgui.py

Create a new branch based on develop and tag the release

• git checkout -b release-#.#.# develop where #.#.#, is the new version e.g. 0.0.1
• git add .
• git commit -m "Version bump to #.#.#"
• git tag -a v#.#.# -m "Tagging version #.#.# as v#.#.#"
• git push origin --tags
  • This will create a tag with the version and push the local tags to remote (this will trigger the release.yml github action)
• git push origin release-#.#.#

Troubleshooting

• brew install python-tk (possible issue with tkinter on macOS)

Windows app run commands

• conda create -n mlgui_env python=3.10
• conda activate mlgui_env
• pip install -r requirements.txt
• python mlgui.py