Changed librosa version to 0.9.1. Also fixed the cuda issue (forgot that I wasn't passing in a self parameter into the get optimal device method)

Makefile

@@ -8,7 +8,7 @@ install: ## Install dependencies
 	apt-get -y install build-essential python3-dev ffmpeg
 	pip install --upgrade setuptools wheel
 	pip install --upgrade pip
-	pip install faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2
+	pip install faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.1
 	pip install -r requirements.txt
 	pip install --upgrade lxml
 	apt-get update

requirements.txt

@@ -1,7 +1,7 @@
 numba==0.56.4
 numpy==1.23.5
 scipy==1.9.3
-librosa==0.9.2
+librosa==0.9.1
 llvmlite==0.39.0
 fairseq==0.12.2
 faiss-cpu==1.7.0; sys_platform == "darwin"

vc_infer_pipeline.py

@@ -33,7 +33,7 @@ class VC(object):
     def get_optimal_torch_device(index: int = 0) -> torch.device:
         # Get cuda device
         if torch.cuda.is_available():
-            return torch.device("cuda:" + str(index)) # Very fast
+            return torch.device(f"cuda:{index % torch.cuda.device_count()}") # Very fast
         elif torch.backends.mps.is_available():
             return torch.device("mps")
         # Insert an else here to grab "xla" devices if available. TO DO later. Requires the torch_xla.core.xla_model library