An application for slack that combines productivity with creativity using neural networks to help you write less, think better, and do more.
Visit the site at: www.novunote.com
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
in /frontend
yarn run
in root
python manage.py runserver
in /frontend
yarn build
in root
python manage.py runserver --settings=neuro.production_settings
Python 3.6.5 Django 2.0.5 PostgreSQL TensorFlow Keras HerokuCli
$ brew install < >
//TODO: Flush these steps out
A step by step series of examples that tell you have to get a development env running
Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
Explain how to run the automated tests for this system
Frontend:
yarn test
Backend:
python manage.py test
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Deployed using heroku's pipeline service in combination with its builtin CI test runner
- Django - The web framework
- Heroku - The deployment platform and CI service
- Keras - The neural net API
- TensorFlow - The machine learning framework
//TODO: Add CONTRIBUTING.md
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Naming for brranches follows the conventions below. All branches are made from dev.
prefix/short-description-here
wip Works in progress; stuff I know won't be finished soon
feat Feature I'm adding or expanding
bug Bug fix or experiment
junk Throwaway branch created to experiment
$ git checkout -b feat/note-creation-panel
We don't use anything special for versioning. Will look into using tools later on in the development process.
- James Baldwin (https://github.com/jwbaldwin)
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
- Hat tip to anyone who's code was used
- Inspiration from my frustrating brain