shanyi15 / simpleBeatTracking

This project uses Flask, Librosa and JavaScript to create a simple beat tracking app. By uploading a piece of audio, user can get a figure annotated with predicted beat time stamps analyzed by algorithms through librosa.

simpleBeatTracking

Introduction

This project uses python flask, librosa and front-end language to create a simple beat tracking app. By uploading a piece of audio, user can get a figure annotated with predicted beat time stamps analyzed by algorithms through librosa.

For better performance, it's recommended to upload music with strong and stable beat.

Use it locally

Please note that, due to the limitation of testing environments, this app was only tested on MacOS Ventura 13.0.1.

• Install virtualenv

  pip install virtualenv
  

• Activate env under /simpleBeatTracking menu, run the following command

  source ./bin/activate
  

  If you activate the environment successfully, you should see (venv).

• Install requirement

  pip install -r requirement.txt
  

  If you install all of the requirement libraries succesfully, you should see the corresponding feedback from pip.

• Run this app

  flask --app app run
  

  If you start the server successfully, you will see the address. The default address should be: http://127.0.0.1:5000/. If you want to run it on localhost, you can change the host option by:

  flask --app app run --host=0.0.0.0
  

  Questions

  For any questions, please add Issues.

  If you got the cffi package version error, you can try to solve it by this.