| import os | |
| from extra import TTSTokenizer, VitsConfig, CharactersConfig, VitsCharacters | |
| import torch | |
| import numpy as np | |
| #ch female | |
| with open("chars.txt", 'r') as f: | |
| letters = f.read().strip('\n') | |
| model="bn_male_vits_30hrs.pt" | |
| text = " হলেও আমাদের সবার সার্বিক শৃঙ্খলা বোধের উন্নতি হবে" | |
| config = VitsConfig( | |
| text_cleaner="multilingual_cleaners", | |
| characters=CharactersConfig( | |
| characters_class=VitsCharacters, | |
| pad="<PAD>", | |
| eos="<EOS>", | |
| bos="<BOS>", | |
| blank="<BLNK>", | |
| characters=letters, | |
| punctuations="!¡'(),-.:;¿? ", | |
| phonemes=None) | |
| ) | |
| tokenizer, config = TTSTokenizer.init_from_config(config) | |
| x = tokenizer.text_to_ids(text) | |
| x = torch.from_numpy(np.array(x)).unsqueeze(0) | |
| net = torch.jit.load(model) | |
| with torch.no_grad(): | |
| out2 = net(x) | |
| import soundfile as sf | |
| sf.write("jit.wav", out2.squeeze().cpu().numpy(), 22050) |