ipywidget to interact with audio waveforms through peaks.js

You can install using pip:

pip install peaksjs_widget

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] peaksjs_widget

you can interact with the waveform/widgets with following shortcuts:

• Navigation:
  • Ctrl + wheel: zoom
  • SHIFT + dbl-click: reset zoom
  • SHIFT + wheel: scroll waveform
  • arrow left/right: move playhead left/right
  • SHIFT + arrow left/right: move playhead left/right a lot.
• Controls:
  • dbl-click: play from there
  • SPACE BAR: play/pause
• Segments:
  • alt + click: add segment
  • SHIFT + click on a segment: remove segment
  • Ctrl + alt + click on a segment: edit segment's label
• Points:
  • Ctrl + click: add point
  • SHIFT + click on a point: remove point
  • Ctrl + alt + click on a point: edit point's label

you can also drag points and segments' boundaries with the mouse to edit their position

Create a dev environment:

conda create -n peaksjs_widget-dev -c conda-forge nodejs yarn python jupyterlab
conda activate peaksjs_widget-dev

Install the python. This will also build the TS package.

pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite .
yarn run build

For classic notebook, you need to run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py peaksjs_widget
jupyter nbextension enable --sys-prefix --py peaksjs_widget

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

# Watch the source directory in one terminal, automatically rebuilding when needed
yarn run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

To update the version, install tbump and use it to bump the version. By default it will also create a tag.

pip install tbump
tbump <new-version>

on npm

npm login 
npm publish

on pypi

rm -rf dist/
pyproject-build .
twine upload dist/peaksjs* -u k-tonal