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test/test_autotranscript.py

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+import pytest
+import torch
+from scraibe import Scraibe, Diariser, Transcriber, Transcript, AudioProcessor
+from unittest.mock import MagicMOck, patch
+
+
+"""
+@pytest.fixture
+def example_audio_file(tmp_path):
+    audio_path = tmp_path 
+"""
+@pytest.fixture
+def create_scraibe_instance():
+    return Scraibe()
+
+
+
+def test_scraibe_init(create_scraibe_instance):
+    model = create_scraibe_instance
+    assert isinstance(model.transcriber, Transcriber)
+    assert isinstance(model.diariser, Diariser)
+
+
+def test_scraibe_autotranscribe(create_scraibe_instance, example_audio_file):
+    model = create_scraibe_instance
+    transcript = example_audio_file
+    assert isinstance(transcript, Transcript)
+
+def test_scraibe_diarization(create_scraibe_instance, example_audio_file):
+    model = create_scraibe_instance
+    diarisation_result = model.diarisation(example_audio_file)
+    assert isinstance(diarisation_result, dict)
+
+
+def test_scraibe_transcribe(create_scraibe_instance, example_audio_file):
+    model = create_scraibe_instance
+    transcription_result = model.transcribe(example_audio_file)
+    assert isinstance(transcription_result, str)
+
+
+def test_remove_audio_file(create_scraibe_instance, example_audio_file):
+    model = create_scraibe_instance
+    with pytest.raises(ValueError):
+        model.remove_audio_file("non_existing_audio_file")
+
+    model.remove_audio_file(example_audio_file)
+    assert not os.path.exists(example_audio_file)      
+
+
+def test_get_audio_file(create_scraibe_instance, example_audio_file):
+    model = create_scraibe_instance
+    audio_file = os.path.exist(example_audio_file)
+    assert isinstance(audio_file, AudioProcessor)
+    assert isinstance(audio_file.waveform, torch.Tensor)
+    assert isinstance(audio_file.sr, torch.Tensor)