feat: add centralized logging to replace ad-hoc print statements (#1254)

* feat: add logging utility functions

* feat: add logging setup and log level argument to CLI

* feat: integrate logging across modules

whisperx/diarize.py

@@ -6,6 +6,9 @@ import torch
 
 from whisperx.audio import load_audio, SAMPLE_RATE
 from whisperx.schema import TranscriptionResult, AlignedTranscriptionResult
+from whisperx.log_utils import get_logger
+
+logger = get_logger(__name__)
 
 
 class DiarizationPipeline:
@@ -18,6 +21,7 @@ class DiarizationPipeline:
         if isinstance(device, str):
             device = torch.device(device)
         model_config = model_name or "pyannote/speaker-diarization-3.1"
+        logger.info(f"Loading diarization model: {model_config}")
         self.model = Pipeline.from_pretrained(model_config, use_auth_token=use_auth_token).to(device)
 
     def __call__(