https://github.com/half-shot/leafpipe

https://github.com/half-shot/leafpipe

led music nanoleaf pipewire visualisers

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/half-shot/leafpipe
• Owner: Half-Shot
• License: gpl-2.0
• Created: 2023-08-08T00:19:02.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-07T18:28:34.000Z (about 1 year ago)
• Last Synced: 2024-07-30T19:53:46.782Z (5 months ago)
• Topics: led, music, nanoleaf, pipewire, visualisers
• Language: Rust
• Homepage:
• Size: 673 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
leafpipe

========

A visualiser program that can control LED light sources, such as Nanoleaf Shapes

via the output of PipeWire (Linux audio stack).

The code to pull and analyse the audio files was heavily based upon the work in

https://github.com/BlankParenthesis/visualiser.

[See the blog post!](https://half-shot.uk/blog/leafpipe/)

## Getting Started

Copy the `config.sample.toml` file to `/home/username/.config/leafpipe/config.toml`.

You can also place the config in the same working directory you are running the application

from.

You will need to get an access token for your Nanoleaf Shapes device for

this to work. To do this:

```sh

# 1. Hold the power button for 5-7 seconds on your Nanoleaf device.

# 2. Run this (where IP is the IP address of your nanoleaf)

curl -X POST 'http://IP:16021/api/v1/new'

# 3. Save the output as nanoleaf_token in your config file.

```

You should now be able to run this app.

Remember to ensure you specify the correct recording source for this to work

in PipeWire. For music, you typically want to configure it to listen on a

"Monitor of SpeakerName" source.