torch
torchaudio
transformers>=4.35.2
datasets>=2.14.5
lightning>=2.1.0
hydra-core>=1.3.2
tensorboard>=2.14.1
natsort>=8.4.0
einops>=0.7.0
librosa>=0.10.1
rich>=13.5.3
gradio>=4.0.0
wandb>=0.15.11
grpcio>=1.58.0
kui>=1.6.0
zibai-server>=0.9.0
loguru>=0.6.0
loralib>=0.1.2
natsort>=8.4.0
pyrootutils>=1.0.4
vector_quantize_pytorch>=1.14.7
samplerate>=0.2.1
resampy>=0.4.3
spaces>=0.26.1"
einx[torch]==0.2.0