Refactor provider health status and update build configurations

- Updated the `ProviderSettings` component to log the current active provider.
- Changed the provider health status to use specific names for MLX and PyTorch backends.
- Removed unnecessary exclusions from the build scripts for both PyTorch CPU and CUDA providers.
- Ensured consistency in the `.spec` files for PyTorch providers by aligning exclusion lists.

app/src/components/ServerSettings/ProviderSettings.tsx

@@ -172,7 +172,8 @@ export function ProviderSettings() {
   const installedProviders = providersData?.installed || [];
 
   // Determine current active provider
-  const currentProvider = activeProvider?.provider || 'auto';
+  const currentProvider = activeProvider?.provider;
+  console.log('currentProvider', currentProvider);
   const selectedProvider = currentProvider as ProviderType;
 
   return (

backend/providers/bundled.py

@@ -85,22 +85,25 @@ class BundledProvider:
         """Get provider health status."""
         backend = self._get_backend()
         backend_type = get_backend_type()
-        
+
         model_size = None
         if backend.is_loaded():
             # Try to get current model size from backend
             if hasattr(backend, '_current_model_size') and backend._current_model_size:
                 model_size = backend._current_model_size
-        
+
         device = None
         if backend_type == "mlx":
             device = "metal"
         elif hasattr(backend, 'device'):
             device = backend.device
-        
+
+        # Use apple-mlx for MLX backend, pytorch-cpu for PyTorch
+        provider_name = "apple-mlx" if backend_type == "mlx" else "pytorch-cpu"
+
         return ProviderHealth(
             status="healthy",
-            provider=f"bundled-{backend_type}",
+            provider=provider_name,
             version=None,  # Provider versioning not implemented yet
             model=model_size,
             device=device,

providers/pytorch-cpu/build.py

@@ -63,7 +63,6 @@ def build_provider():
         '--exclude-module', 'triton',
         '--exclude-module', 'torch._dynamo',
         '--exclude-module', 'torch._inductor',
-        '--exclude-module', 'torch.testing',
         '--exclude-module', 'torch.utils.benchmark',
         '--exclude-module', 'IPython',
         '--exclude-module', 'matplotlib',

providers/pytorch-cpu/tts-provider-pytorch-cpu.spec

@@ -20,7 +20,7 @@ a = Analysis(
     hookspath=[],
     hooksconfig={},
     runtime_hooks=[],
-    excludes=['torch.utils.tensorboard', 'tensorboard', 'triton', 'torch._dynamo', 'torch._inductor', 'torch.testing', 'torch.utils.benchmark', 'IPython', 'matplotlib', 'PIL', 'cv2', 'torchvision', 'torchaudio'],
+    excludes=['torch.utils.tensorboard', 'tensorboard', 'triton', 'torch._dynamo', 'torch._inductor', 'torch.utils.benchmark', 'IPython', 'matplotlib', 'PIL', 'cv2', 'torchvision', 'torchaudio'],
     noarchive=False,
     optimize=0,
 )

providers/pytorch-cuda/build.py

@@ -65,7 +65,6 @@ def build_provider():
         '--exclude-module', 'triton',
         '--exclude-module', 'torch._dynamo',
         '--exclude-module', 'torch._inductor',
-        '--exclude-module', 'torch.testing',
         '--exclude-module', 'torch.utils.benchmark',
         '--exclude-module', 'IPython',
         '--exclude-module', 'matplotlib',

providers/pytorch-cuda/tts-provider-pytorch-cuda.spec

@@ -20,7 +20,7 @@ a = Analysis(
     hookspath=[],
     hooksconfig={},
     runtime_hooks=[],
-    excludes=['torch.utils.tensorboard', 'tensorboard', 'triton', 'torch._dynamo', 'torch._inductor', 'torch.testing', 'torch.utils.benchmark', 'IPython', 'matplotlib', 'PIL', 'cv2', 'torchvision', 'torchaudio'],
+    excludes=['torch.utils.tensorboard', 'tensorboard', 'triton', 'torch._dynamo', 'torch._inductor', 'torch.utils.benchmark', 'IPython', 'matplotlib', 'PIL', 'cv2', 'torchvision', 'torchaudio'],
     noarchive=False,
     optimize=0,
 )