Add: test code for style-bert-vits2 as a library

By executing "hatch run test:test", you can check whether the test passes in all Python 3.9 to 3.12 environments.

tests/.gitignore

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+*.wav

tests/test_main.py

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+import pytest
+from scipy.io import wavfile
+
+from style_bert_vits2.constants import BASE_DIR
+from style_bert_vits2.tts_model import TTSModelHolder
+
+
+def synthesize(device: str = 'cpu'):
+
+    # モデル一覧を取得
+    model_holder = TTSModelHolder(BASE_DIR / 'model_assets', device)
+
+    # モデルが存在する場合、音声合成を実行
+    if len(model_holder.models_info) > 0:
+
+        # jvnv-F1-jp モデルを探す
+        for model_info in model_holder.models_info:
+            if model_info['name'] == 'jvnv-F1-jp':
+
+                # 音声合成を実行
+                model = model_holder.get_model(model_info['name'], model_info['files'][0])
+                model.load()
+                sample_rate, audio_data = model.infer("あらゆる現実を、すべて自分のほうへねじ曲げたのだ。")
+
+                # 音声データを保存
+                with open(BASE_DIR / 'tests/test.wav', mode='wb') as f:
+                    wavfile.write(f, sample_rate, audio_data)
+    else:
+        pytest.skip("音声合成モデルが見つかりませんでした。")
+
+
+def test_synthesize_cpu():
+    synthesize(device='cpu')
+    assert (BASE_DIR / 'tests/test.wav').exists()
+
+
+def test_synthesize_cuda():
+    synthesize(device='cuda')
+    assert (BASE_DIR / 'tests/test.wav').exists()