Reading the repo
Reading the repo
How to install on macOS
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
Saved setup from 2 h ago
Will it work on macOS?
Then run bash setup.sh. It stops at the first error and is safe to run again. Servers and tests aren't started; it lists them at the end. Read it first.
Needs Git: xcode-select --install
git clone https://github.com/WB2024/Essentia-to-Metadata.git cd Essentia-to-Metadata
Python 3.x (no version pinned)
brew install python
python -m venv .venv source .venv/bin/activate pip install -r requirements.txt
# 1. Clone the repository
cd /srv/dev-disk-by-uuid-dc4918d5-6597-465b-9567-ce442fbd8e2a/Github
git clone https://github.com/WB2024/Essentia-to-Metadata.git
cd Essentia-to-Metadata
# 2. Create virtual environment
python3 -m venv venv
source venv/bin/activate
# 3. Install dependencies
pip install essentia-tensorflow mutagen numpy
# 4. Download ML models (~87MB)
bash download_models.sh
No reports for macOS yet.
Opens a chat with this manual already filled in, for macOS. It uses your own account; gitmanual sends nothing.