Refactor build scripts and update release workflow

- 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.

.github/workflows/release.yml

@@ -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

providers/pytorch-cpu/build.py

@@ -56,6 +56,24 @@ def build_provider():
         '--hidden-import', 'librosa',
     ])
     
+    # Exclude large unused modules to reduce binary size
+    args.extend([
+        '--exclude-module', 'torch.utils.tensorboard',
+        '--exclude-module', 'tensorboard',
+        '--exclude-module', 'triton',
+        '--exclude-module', 'torch.distributed',
+        '--exclude-module', 'torch._dynamo',
+        '--exclude-module', 'torch._inductor',
+        '--exclude-module', 'torch.testing',
+        '--exclude-module', 'torch.utils.benchmark',
+        '--exclude-module', 'IPython',
+        '--exclude-module', 'matplotlib',
+        '--exclude-module', 'PIL',
+        '--exclude-module', 'cv2',
+        '--exclude-module', 'torchvision',
+        '--exclude-module', 'torchaudio',
+    ])
+    
     args.extend([
         '--noconfirm',
         '--clean',

providers/pytorch-cuda/build.py

@@ -58,6 +58,24 @@ def build_provider():
         '--hidden-import', 'librosa',
     ])
     
+    # Exclude large unused modules to reduce binary size
+    args.extend([
+        '--exclude-module', 'torch.utils.tensorboard',
+        '--exclude-module', 'tensorboard',
+        '--exclude-module', 'triton',
+        '--exclude-module', 'torch.distributed',
+        '--exclude-module', 'torch._dynamo',
+        '--exclude-module', 'torch._inductor',
+        '--exclude-module', 'torch.testing',
+        '--exclude-module', 'torch.utils.benchmark',
+        '--exclude-module', 'IPython',
+        '--exclude-module', 'matplotlib',
+        '--exclude-module', 'PIL',
+        '--exclude-module', 'cv2',
+        '--exclude-module', 'torchvision',
+        '--exclude-module', 'torchaudio',
+    ])
+    
     args.extend([
         '--noconfirm',
         '--clean',