test_TTS.py

from TTS.api import TTS

try:
    # Running a multi-speaker and multi-lingual model

    # List available 🐸TTS models and choose the first one
    model_name = TTS.list_models()[0]
    # Init TTS
    tts = TTS(model_name)
    # Run TTS
    # ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language
    # Text to speech with a numpy output
    wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0], language=tts.languages[0])
    # Text to speech to a file
    tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path="output.wav")

    # Running a single speaker model

    # Init TTS with the target model name
    tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
    # Run TTS

    # Example voice cloning with YourTTS in English, French and Portuguese:
    tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=True)
    tts.tts_to_file("This is voice cloning.", speaker_wav=".\Assistant\\voices\\voices.wav", language="en", file_path="output.wav")
    tts.tts_to_file("C'est le clonage de la voix.", speaker_wav=".\Assistant\\voices\\voices.wav", language="fr-fr", file_path="output.wav")
    tts.tts_to_file("Isso é clonagem de voz.", speaker_wav=".\Assistant\\voices\\voices.wav", language="pt-br", file_path="output.wav")

    # Example voice cloning by a single speaker TTS model combining with the voice conversion model. This way, you can
    # clone voices by using any model in 🐸TTS.

    tts = TTS("tts_models/de/thorsten/tacotron2-DDC")
    tts.tts_with_vc_to_file(
        "Wie sage ich auf Italienisch, dass ich dich liebe?",
        speaker_wav=".\Assistant\\voices\\voices.wav",
        file_path="ouptut.wav"
    )

    # Example text to speech using [🐸Coqui Studio](https://coqui.ai) models. You can use all of your available speakers in the studio.
    # [🐸Coqui Studio](https://coqui.ai) API token is required. You can get it from the [account page](https://coqui.ai/account).
    # You should set the `COQUI_STUDIO_TOKEN` environment variable to use the API token.

    # If you have a valid API token set you will see the studio speakers as separate models in the list.
    # The name format is coqui_studio/en/<studio_speaker_name>/coqui_studio
    models = TTS().list_models()
    # Init TTS with the target studio speaker
    tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False, gpu=False)
except Exception as e:
    print(e)
    pass