added tests folder

tests/test_autotranscript.py

@@ -0,0 +1,52 @@
+import pytest
+from scraibe import Scraibe, Diariser, Transcriber, Transcript
+import os
+
+
+@pytest.fixture
+def create_scraibe_instance():
+    if "HF_TOKEN" in os.environ:
+        return Scraibe(use_auth_token=os.environ["HF_TOKEN"], whisper_model= "tiny")
+    else:
+        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):
+    model = create_scraibe_instance
+    transcript = model.autotranscribe('tests/audio_test_2.mp4')
+    assert isinstance(transcript, Transcript)
+
+
+def test_scraibe_diarization(create_scraibe_instance):
+    model = create_scraibe_instance
+    diarisation_result = model.diarization('tests/audio_test_2.mp4')
+    assert isinstance(diarisation_result, dict)
+
+
+def test_scraibe_transcribe(create_scraibe_instance):
+    model = create_scraibe_instance
+    transcription_result = model.transcribe('tests/audio_test_2.mp4')
+    assert isinstance(transcription_result, str)
+
+
+""" def test_remove_audio_file(create_scraibe_instance):
+    model = create_scraibe_instance
+    with pytest.raises(ValueError):
+        model.remove_audio_file("non_existing_audio_file")
+
+    model.remove_audio_file("audio_test_2.mp4")
+    assert not os.path.exists("audio_test_2.mp4")   """
+
+
+""" def test_get_audio_file(create_scraibe_instance):
+    model = create_scraibe_instance
+    audio_file = os.path.exist("audio_test_2.mp4")
+    assert isinstance(audio_file, AudioProcessor)
+    assert isinstance(audio_file.waveform, torch.Tensor)
+    assert isinstance(audio_file.sr, torch.Tensor)   """