Removed GPU requirements file and simplified install instructions for GPU-enabled transcoding

beveradb · beveradb · commit 6a56b7b7e5c0 · 2023-08-05T16:22:06.000-05:00
diff --git a/README.md b/README.md
@@ -30,7 +30,7 @@ As such, if you want to use audio-separator with a CUDA-capable Nvidia GPU, you
 
 - `pip uninstall torch onnxruntime`
 - `pip cache purge`
-- `pip install -r requirements-gpu.txt`
+- `pip install torch "optimum[onnxruntime-gpu]"`
 
 This should get you set up to run audio-separator with CUDA acceleration, using the `--use_cuda` argument.
 
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "audio-separator"
-version = "0.6.3"
+version = "0.6.4"
 description = "Easy to use vocal separation on CLI or as a python package, using the amazing MDX-Net models from UVR trained by @Anjok07"
 authors = ["Andrew Beveridge <andrew@beveridge.uk>"]
 license = "MIT"
diff --git a/requirements-gpu.txt b/requirements-gpu.txt
