better readbility

autotranscript/transcriber.py

@@ -1,10 +1,12 @@
 
 import os
-from typing import TypeVar
+from typing import TypeVar , Union
 from whisper import load_model
 from glob import glob
 
 whisper = TypeVar('whisper') 
+Tensor = TypeVar('Tensor')
+nparray = TypeVar('nparray')
 Transcriber = TypeVar('Transcriber')
 
 def get_whisper_default_path() -> str:
@@ -29,15 +31,19 @@ class Transcriber:
         """
         self.model = model
 
-
-    def transcribe(self, file : str, language:str = "German"):
+    def transcribe(self, audio : Union[str, Tensor, nparray]  ,
+                   *args, **kwargs) -> str:
         """
         transcribe audio file
         :param file: audio file to transcribe
-        :param language: language of the audio file
+        :param args: additional arguments
+        :param kwargs: additional keyword arguments
+            example:
+                - language: language of the audio file    
         :return: transcript as string
         """
-        result = self.model.transcribe(file, language = language)
+        
+        result = self.model.transcribe(audio, *args, **kwargs)
 
         return result["text"]
     
@@ -57,7 +63,7 @@ class Transcriber:
         print(f'Transcript saved to {save_path}')
 
     @classmethod
-    def load_whisper_model(cls,
+    def load_model(cls,
                     model: str = "medium", 
                     local : bool = True,
                     download_root: str = WHISPER_DEFAULT_PATH) -> Transcriber:
@@ -97,7 +103,8 @@ class Transcriber:
 
         if local:
             
-            available_models = [os.path.basename(x) for x in glob(os.path.join(download_root, "*"))]
+            available_models = [os.path.basename(x) for x in 
+                                glob(os.path.join(download_root, "*"))]
             
             for i, module in enumerate(available_models):
                 available_models[i] = module.split(".")[0]