import os import unittest from tests import get_tests_data_path, get_tests_output_path from TTS.api import CS_API, TTS OUTPUT_PATH = os.path.join(get_tests_output_path(), "test_python_api.wav") cloning_test_wav_path = os.path.join(get_tests_data_path(), "ljspeech/wavs/LJ001-0028.wav") is_coqui_available = os.environ.get("COQUI_STUDIO_TOKEN") if is_coqui_available: class CS_APITest(unittest.TestCase): def test_speakers(self): tts = CS_API() self.assertGreater(len(tts.speakers), 1) def test_emotions(self): tts = CS_API() self.assertGreater(len(tts.emotions), 1) def test_list_calls(self): tts = CS_API() self.assertGreater(len(tts.list_voices()), 1) self.assertGreater(len(tts.list_speakers()), 1) self.assertGreater(len(tts.list_all_speakers()), 1) self.assertGreater(len(tts.list_speakers_as_tts_models()), 1) def test_name_to_speaker(self): tts = CS_API() speaker_name = tts.list_speakers_as_tts_models()[0].split("/")[2] speaker = tts.name_to_speaker(speaker_name) self.assertEqual(speaker.name, speaker_name) def test_tts(self): tts = CS_API() wav, sr = tts.tts(text="This is a test.", speaker_name=tts.list_speakers()[0].name) self.assertEqual(sr, 44100) self.assertGreater(len(wav), 1) class TTSTest(unittest.TestCase): def test_single_speaker_model(self): tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False) error_raised = False try: tts.tts_to_file(text="Ich bin eine Testnachricht.", speaker="Thorsten", language="de") except ValueError: error_raised = True tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH) self.assertTrue(error_raised) self.assertFalse(tts.is_multi_speaker) self.assertFalse(tts.is_multi_lingual) self.assertIsNone(tts.speakers) self.assertIsNone(tts.languages) def test_studio_model(self): tts = TTS(model_name="coqui_studio/en/Zacharie Aimilios/coqui_studio") tts.tts_to_file(text="This is a test.") # check speed > 2.0 raises error raised_error = False try: _ = tts.tts(text="This is a test.", speed=4.0, emotion="Sad") # should raise error with speed > 2.0 except ValueError: raised_error = True self.assertTrue(raised_error) # check emotion is invalid raised_error = False try: _ = tts.tts(text="This is a test.", speed=2.0, emotion="No Emo") # should raise error with speed > 2.0 except ValueError: raised_error = True self.assertTrue(raised_error) # check valid call wav = tts.tts(text="This is a test.", speed=2.0, emotion="Sad") self.assertGreater(len(wav), 0) def test_fairseq_model(self): # pylint: disable=no-self-use tts = TTS(model_name="tts_models/eng/fairseq/vits") tts.tts_to_file(text="This is a test.") def test_multi_speaker_multi_lingual_model(self): tts = TTS() tts.load_tts_model_by_name(tts.models[0]) # YourTTS tts.tts_to_file( text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path=OUTPUT_PATH ) self.assertTrue(tts.is_multi_speaker) self.assertTrue(tts.is_multi_lingual) self.assertGreater(len(tts.speakers), 1) self.assertGreater(len(tts.languages), 1) def test_voice_cloning(self): # pylint: disable=no-self-use tts = TTS() tts.load_tts_model_by_name("tts_models/multilingual/multi-dataset/your_tts") tts.tts_to_file("Hello world!", speaker_wav=cloning_test_wav_path, language="en", file_path=OUTPUT_PATH) def test_voice_conversion(self): # pylint: disable=no-self-use tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False, gpu=False) tts.voice_conversion_to_file( source_wav=cloning_test_wav_path, target_wav=cloning_test_wav_path, file_path=OUTPUT_PATH, )