import librosa
from model_clap import ClapSE
from model_meta_voice import MetaVoiceSE
from model_pyannote_embedding import PyannoteSE
from model_w2v_bert import W2VBertSE


def test():
    wav, sr = librosa.load("sample.wav")
    print("CLAP")
    model = ClapSE()
    v = model.get_speaker_embedding(wav, sr)
    print(v.shape)
    # print("MetaVoiceSE")
    # model = MetaVoiceSE()
    # v = model.get_speaker_embedding(wav, sr)
    # print(v.shape)
    # print("PyannoteSE")
    # model = PyannoteSE()
    # v = model.get_speaker_embedding(wav, sr)
    # print(v.shape)
    # print("W2VBertSE")
    # model = W2VBertSE()
    # v = model.get_speaker_embedding(wav, sr)
    # print(v.shape)


if __name__ == '__main__':
    test()