Auto fixes from PEP8, fixes from flake8.

test/test_transcriber.py

@@ -1,25 +1,23 @@
 import pytest
-from unittest.mock import patch
 from scraibe import Transcriber
 import torch
 
 
-
 DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 TEST_WAVEFORM = "Hello World"
 
-""" 
+"""
 @pytest.mark.parametrize("audio_file, expected_transcription",[("path_to_test_audiofile", "test_transcription")] )
 @patch("scraibe.Transcriber.load_model")
 
 def test_transcriber(mock_load_model, audio_file, expected_transcription):
-    
+
 
     Args:
         mock_load_model (_type_): _description_
         audio_file (_type_): _description_
         expected_transcription (_type_): _description_
-       
+
     mock_model = mock_load_model.return_value
     mock_model.transcribe.return_value ={"text": expected_transcription} 
 
@@ -29,24 +27,24 @@ def test_transcriber(mock_load_model, audio_file, expected_transcription):
 
     assert transcription_result == expected_transcription """
 
+
 @pytest.fixture
 def transcriber_instance():
     return Transcriber.load_model('medium')
 
+
 def test_transcriber_initialization(transcriber_instance):
     assert isinstance(transcriber_instance, Transcriber)
 
+
 def test_get_whisper_kwargs():
-    kwargs = {"arg1": 1, "arg3": 3} 
+    kwargs = {"arg1": 1, "arg3": 3}
     valid_kwargs = Transcriber._get_whisper_kwargs(**kwargs)
-    assert not valid_kwargs == {"arg1": 1, "arg3": 3}  
+    assert not valid_kwargs == {"arg1": 1, "arg3": 3}
 
 
 def test_transcribe(transcriber_instance):
     model = transcriber_instance
-    #mocker.patch.object(transcriber_instance.model, 'transcribe', return_value={'Hello, World !'} )
+    # mocker.patch.object(transcriber_instance.model, 'transcribe', return_value={'Hello, World !'} )
     transcript = model.transcribe('test/audio_test_2.mp4')
     assert isinstance(transcript, str)
-
-
-