Fixed cache default value, moved ValuError t othe right place, added to docstring.

scraibe/diarisation.py

@@ -187,7 +187,7 @@ class Diariser:
     def load_model(cls, 
                     model: str = PYANNOTE_DEFAULT_CONFIG,
                     use_auth_token: str = None,
-                    cache_token: bool = True,
+                    cache_token: bool = False,
                     cache_dir: Union[Path, str] = PYANNOTE_DEFAULT_PATH,
                     hparams_file: Union[str, Path] = None,
                     device: str = None,
@@ -196,11 +196,12 @@ class Diariser:
         
         """
         Loads a pretrained model from pyannote.audio, 
-        either from a local cache or online repository.
+        either from a local cache or some online repository.
 
         Args:
             model: Path or identifier for the pyannote model.
-                default: /models/pyannote/speaker_diarization/config.yaml
+                default: '/home/[user]/.cache/torch/models/pyannote/config.yaml'
+                or one of 'jaikinator/scraibe', 'pyannote/speaker-diarization-3.1'
             token: Optional HUGGINGFACE_TOKEN for authenticated access.
             cache_token: Whether to cache the token locally for future use.
             cache_dir: Directory for caching models.
@@ -262,7 +263,7 @@ class Diariser:
                 if cache_token and use_auth_token is not None:
                     cls._save_token(use_auth_token)
 
-                if not os.path.exists(model) and use_auth_token is None:
+                if use_auth_token is None:
                     use_auth_token = cls._get_token()
         else:
             raise FileNotFoundError(f'No local model or directory found at {model}.')
@@ -271,6 +272,10 @@ class Diariser:
                                           use_auth_token=use_auth_token,
                                           cache_dir=cache_dir,
                                           hparams_file=hparams_file,)
+        if _model is None:
+            raise ValueError('Unable to load model either from local cache' \
+                'or from huggingface.co models. Please check your token' \
+                'or your local model path')
 
         # try to move the model to the device
         if device is None:
@@ -278,11 +283,6 @@ class Diariser:
 
         _model = _model.to(torch_device(device)) # torch_device is renamed from torch.device to avoid name conflict
 
-        if _model is None:
-            raise ValueError('Unable to load model either from local cache' \
-                'or from huggingface.co models. Please check your token' \
-                'or your local model path')
-        
         return cls(_model)
 
     @staticmethod