sound-similarity sample browser via CLAP embeddings cosine distance
requires ~4.2 GB VRAM to run (you will need a GPU)
download this repo, unzip it into a folder, and run install.bat. you will need CUDA and python installed.
to run after first install, run run.bat. it will open localhost for you
code is multiplatform, but installer and run file are windows-only.
other OSs: create a venv python -m venv venv, enter it source venv/Scripts/activate, run pip install flask laion_clap librosa numpy torch, make sure the CUDA version of torch is installed pip install -U torch==2.4.0+cu121 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121, then run python sound-similarity-browser.py and go to http://localhost:5000/
Paste a local filepath into the Cache Management input and press Process Folder. When complete, upload a sound or type a sound description and press search
