Analyze your favorite music
Project description
Music
A project to analyze your favorite music
The package achieves this by:
- Letting you select your favorite artists in a web interface
- Search for new artists with search bar
- Click on suggestions provided by AI recommender system
- Downloading the songs of your favorite artists
- All songs if the artist is marked as favorite
- Top 10 songs otherwise
- Letting you select your favorite songs to download in a web interface
- Postprocessing the downloaded songs:
- Adding lyrics, title, ...
- Setting the modified time to the release date of the song
- useful for ordering
- Keeping track of all downloaded songs and only downloading new songs
Usage
- Start webapp to manage liked/favorite artists:
music-webapp
- Download new songs:
music
Set the following variables in your environment:
- SPOTAPI_ID:
- SPOTAPI_SECRET
obtain here
Installation
pip install musicmaster
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
musicmaster-1.2.4.tar.gz
(17.6 kB
view hashes)
Built Distribution
Close
Hashes for musicmaster-1.2.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02ff291ffd3a97e0662e82ccab2e89ce0ec32e72f96b6feb5c1cf8fcf954d426 |
|
MD5 | 870c5a829e4c99a1b8c84b55fd055b48 |
|
BLAKE2b-256 | 1ee1e6149ef731295e49c8f6880bbd2608b2513f0deced78a9ecf654f1497521 |