AITagger

AITagger is an application that sets music/mp3 i3 tags on files based on thair file names. This a application will take a folder of music files like

• Domination by APOCALYPTICA feat Dead Soul Tirbe.opus
• Apocalyptica - 04 Nothing Else Matters.mp3

and so on and trys to extract what is the album (if possible), the titel and the artist.

The core of this application is a Transformer model based on GPT2 architecture.

Building

Requirements

• wget in $PATH
• llamacpp
• tagparser
• a c++20 compiler
• a ROCM or CUDA install and a compatable gpu with at least 4GB vram is recommended

Procedure

1. clone this repo and change the working directory to where you cloned it
2. mkdir build; cd build
3. cmake .. ; make
4. bash get-models.sh
   • this will download the models and place them in the ./net directory

Usage

1. Perpare a directory with the music files you would like to tag
2. run aimusictagger with your desired paramters on the directory
   • see --help for a full set of flags
   • you must select network weights to use two options are available
     1. tags-gpt2-medium.gguf is more agressive at guessing tags not apperant in the file names
        • this will likely only work well if the model has seen the title in question before during training
     2. tags-gpt2-medium-v2.gguf is less agressive and gennerally what should probubly be used
3. the tagged files will be placed where you specify with --out