Update app.py

app.py

@@ -31,16 +31,15 @@ def _init_soprano() -> None:
 
     if not torch or not torch.cuda.is_available():
         raise gr.Error(
-            "Soprano requires a CUDA GPU. PyTorch CUDA not detected. "
-            "Please install CUDA-enabled PyTorch: pip install torch --index-url https://download.pytorch.org/whl/cu121"
+            "Currently running on CPU. Soprano requires a GPU."
         )
 
     device = "cuda"
     print(f"Using device: {device}")
 
-    # Use 'transformers' backend for compatibility (lmdeploy requires ray which isn't on Windows)
+    # Use 'auto' backend: uses lmdeploy if available (faster), falls back to transformers
     model = SopranoTTS(
-        backend="transformers",
+        backend="auto",
         device=device,
     )
     _SOPRANO_STATE.update({"initialized": True, "device": device, "model": model})