Skip to main content

Guesses genre for text with musical context

Project description

Genres is a library that analyzes text with musical context and guesses genres.

---

# Genres
Genres is a python library (2.7) that guesses the genres for text with musical context.

## How it works
Genres is based on a list of genres and tags (database), that are compared against supplied text using regexp, found genres are then compared agains its main category to avoid mismatches.

## Usage

The api is simple.

import genres
r = genres.find("Pink Floyd is a great rock band)
r
["Rock]

You can also supply your own database.

import genres

db_obj = genres.db.Db("./example.txt")
finder_obj = genres.finder.Finder(db_obj)


## Database

The database is a simple list of words, separated by newline and structured like this:

|Data|Description|
|-------------|:-------------:|
|Rock|Main category|
|Rock|Sub category|
|-Pink Floyd|Tag associated to category rock|
|#Test|Comment|
||Categories are sparated with newline|
|Jazz|...|
|Post-bop|...|

Genres are distributed with a database that can be found under `genres/data.txt` and the genre structure is based on [Allmusic genre categorisation](http://en.wikipedia.org/wiki/List_of_popular_music_genres).


## Installation
Genres can easily be installed through pip.

$ pip install genres


## Contributing

Want to contribute? Awesome. Just send a pull request.


## License

Android-AppLog is released under the [MIT License](http://www.opensource.org/licenses/MIT).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

genres-1.0.tar.gz (9.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page