Transcriboid is a musical training web application that I developed over the summer of 2019. It generates melodies by analyzing patterns in midi files, challenges the user to discern the rhythms and melodies using only their ears, and gives them feedback on how accurately they transcribed the melody. You can check it out at transcriboid.herokuapp.com. The load times are slow, please be patient!
This repository contains the back-end API written with Flask and Python.
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.
The RESTful API for this project is very simple, and only provides two endpoints:
A step by step series of examples that tell you how to get a development env running
Firstly, you need to install the dependencies of the project:
pip install -r requirements.txt
And then run the project with
flask start
End with an example of getting some data out of the system or using it for a little demo
Add additional notes about how to deploy this on a live system
- Flask - The web framework used
This project is licensed under the MIT License - see the LICENSE.md file for details
Ethan Leba