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Refactor build scripts and update release workflow

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- Commented out the PyTorch CPU configuration in the release workflow for Ubuntu 22.04.
- Updated TTS provider documentation to clarify options for Windows and Linux users.
- Enhanced build scripts for both CPU and CUDA providers by excluding large unused modules to reduce binary size.
This commit is contained in:
Jamie Pine
2026-01-31 03:45:41 -08:00
parent ec0fb60197
commit ce4269ffa5
3 changed files with 42 additions and 6 deletions
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.github/workflows/release.yml
+6 -6
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@@ -28,9 +28,9 @@ jobs:
provider: "pytorch-cuda"
python-version: "3.12"
# PyTorch CPU provider (Linux)
- platform: "ubuntu-22.04"
provider: "pytorch-cpu"
python-version: "3.12"
# - platform: "ubuntu-22.04"
# provider: "pytorch-cpu"
# python-version: "3.12"
# PyTorch CUDA provider (Linux) - large binary, uploaded to R2
- platform: "ubuntu-22.04"
provider: "pytorch-cuda"
@@ -268,10 +268,10 @@ jobs:
- **Windows**: Download the `.msi` installer - requires downloading a TTS provider on first use
- **Linux**: Download the `.AppImage` or `.deb` package - requires downloading a TTS provider on first use
### TTS Providers (Windows/Linux)
### TTS Providers
Windows and Linux users will be prompted to download a TTS provider on first launch:
- **PyTorch CPU** (~300MB) - Works on any system
- **PyTorch CUDA** (~2.4GB) - 4-5x faster on NVIDIA GPUs
- **Windows**: PyTorch CPU (~300MB) or PyTorch CUDA (~2.4GB for NVIDIA GPUs)
- **Linux**: PyTorch CUDA (~2.4GB) - requires NVIDIA GPU
The app includes automatic updates - future updates will be installed automatically.
releaseDraft: true