WIP - first working version with UI, hooray!

- added logging in UI
- added switcher for models, batch size etc.
- added device configuration dataclass
- minor improvements in audio transcription

transcription/torch_checker.py

@@ -1,11 +1,32 @@
 import torch
+from dataclasses import dataclass
+import logging
 
-def check_torch() -> None:
-    print("=== Checking PyTorch ===")
-    print(f"Torch version: {torch.version}")
-    print(f"CUDA is available: {torch.cuda.is_available()}")
+def check_torch(logger: logging.Logger) -> None:
+    logger.info("=== Checking PyTorch ===")
+    logger.info(f"Torch version: {torch.__version__}")
+    
+    # === NVIDIA / AMD (CUDA API) ===
     if torch.cuda.is_available():
-        print(f"CUDA version: {torch.version.cuda}")
-        print(f"Number of GPU: {torch.cuda.device_count()}")
-        print(f"Name of GPU: {torch.cuda.get_device_name(0)}")
-    print("=== Check completed ===")
+        backend = "CUDA"
+        if torch.version.hip is not None:
+            backend = "ROCm (AMD HIP)"
+        
+        logger.info(f"{backend} backend is available")
+        logger.info(f"Compiled with: CUDA {torch.version.cuda}, ROCm {torch.version.hip}")
+        logger.info(f"Number of devices: {torch.cuda.device_count()}")
+        
+        for i in range(torch.cuda.device_count()):
+            logger.info(f"GPU {i}: {torch.cuda.get_device_name(i)}")
+    
+    # ===   Apple Silicon (MPS)   ===
+    elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
+        logger.info("MPS backend is available (Apple Silicon)")
+        logger.info(f"MPS version: {getattr(torch.backends.mps, '__version__', 'unknown')}")
+        logger.info("GPU: Apple Silicon (Metal)")
+    
+    # ===       CPU only mode     ===
+    else:
+        logger.info("Only CPU is available")
+    
+    logger.info("=== Check completed ===")