wiki-music 0.6a0

Music tagger with information retrieval from wikipedia

Wikipegia music tags parser

Python application which parses wikipedia for music tags and writes them to files. Has also the ability to search for lyrics and album cover art. The app was created to complement tagging tools that use other datatabases. I often found that these databases provide only some basic information. For instance there are no lyrics or composers information, or the cover art is in low resolution. The Wikipedia is often the most complete source of information but extracting the information by hand is a slow and boring process.

wiki_music aims to automate this, paired with a powerful image and lyrics search, tagging often takes only a few clicks. It is not perfect however. Wikipedia data is not saved in standardized form so it has to be extracted from html which can at times be unreliable. But the app should always give you at least some good starting point from which you can continuee editing by hand.

Getting Started

Package can be installed with pip:

pip install wiki_music

For more details refer to Documentation which can be found at: readthedocs.

Installation intructions

Usage intructions

Contributing guide

Anyone is welcome to use it or contribute. All of the dependencies are fairly common so you shouldn't encounter any problems. Curentlly supported versions of python are 3.6 - 3.8.

Bugs & Features

If there are some features missing or you found a bug please create an issue at: Git Issues

Prerequisites

appdirs>=1.4.3
beautifulsoup4>=4.6.0
colorama>=0.4.0
datefinder>=0.6.1
fuzzywuzzy>=0.17.0
lazy-import>=0.2.2
lxml>=4.2.1
nltk>=3.3
mutagen>=1.42.0
numpy>=1.14.3
Pillow>=6.1.0
pyyaml>=5.1.2
PyQt5>=5.11.3
python-Levenshtein>=0.12.0
QtPy>=1.7.0
requests>=2.18.4
wikipedia>=1.4.0

Authors

• Marián Rynik - Initial work - marian-code

See also the list of contributors who participated in this project.

License

MIT

Acknowledgments

• Stackoverflow
• Giesela Inc. - LyricsFinder
• https://github.com/hardikvasa - google_images_download