feat: Transcriber akzeptiert optionales vorgeladenes WhisperModel

tests/test_transcriber.py

@@ -10,7 +10,7 @@ class TestTranscriber:
     @patch("whisper_local.transcriber.WhisperModel")
     def test_init_loads_model(self, mock_model_class):
         t = Transcriber(model_name="small", compute_type="int8", language="de")
-        mock_model_class.assert_called_once_with("small", compute_type="int8")
+        mock_model_class.assert_called_once_with("small", compute_type="int8", download_root=None)
         assert t.language == "de"
 
     @patch("whisper_local.transcriber.WhisperModel")
@@ -55,3 +55,9 @@ class TestTranscriber:
         result = t.transcribe(audio)
 
         assert result == "Hallo Welt"
+
+    def test_init_with_preloaded_model(self):
+        mock_model = MagicMock()
+        t = Transcriber(language="de", model=mock_model)
+        assert t.model is mock_model
+        assert t.language == "de"