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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)

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:

|Rock|Main category|
|Rock|Sub category|
|-Pink Floyd|Tag associated to category rock|
||Categories are sparated with newline|

Genres are distributed with a database that can be found under `genres/data.txt` and the genre structure is based on [Allmusic genre categorisation](

## 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](

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