About M(AI)DI

M(ai)di is an open-source Python library designed to showcase the capabilities and usefulness of Symbolic Music GenAI. It interfaces with top symbolic music AI models and APIs to accelerate AI integration in music tech products. The project originated from the realization that artists need to manipulate MIDI, not just audio, in their composition workflows, and that tools in this area are lacking. Thus, we present a simple and efficient way to manipulate MIDI files and integrate with music AI models. With just a few lines of code, you can parse, analyze, and generate MIDI files using the best music AI models available.

Here is where M(ai)di shines:

MIDI Files Manipulation: Load, save, edit, merge, and analyze MIDI files with ease.
Music AI Models Integration: Integrate with the best music AI models and APIs to generate music.
Automatic MIDI Tagging: Get the chords, tempo, time signature, and many other musical features for each bar/instrument of the MIDI file.

Disclaimer: We focus on processing MIDI files and model inference calls. We do not implement audio features, model training, or tokenization.

Getting Started

Installation

To install the package, you can use pip:

pip install maidi

Or to get the latest version from the repository, you can use:

pip install git+github.com/MusicLang/maidi.git

Hello World script

A simple code snippet to load and analyze a midi file

from maidi import MidiScore, ScoreTagger, midi_library
from maidi.analysis import tags_providers

score = MidiScore.from_midi(midi_library.get_midi_file('drum_and_bass'))

tagger = ScoreTagger(
    [
        tags_providers.DensityTagsProvider(),
        tags_providers.MinMaxPolyphonyTagsProvider(),
        tags_providers.MinMaxRegisterTagsProvider(),
        tags_providers.SpecialNotesTagsProvider(),
    ]
)

tags = tagger.tag_score(score)
chords = score.get_chords_prompt()
print(tags)
print(chords)

Integrations

The power of maidi comes from its ability to integrate with the best music AI models and APIs.

Please refer to the integrations section for more details on how to integrate with music AI models.

Contributing

We welcome contributions to the project as long as it fits its main philosophy :

Manipulate midi files in some ways
Integrate with music AI models (inference & symbolic only)

Please read Contributing to the Project for details on our guidelines.

License

This package is licensed under the Apache License 2.0

Github

You are looking for the github page of the project ? Here is the link !