File size: 1,651 Bytes
dfc143a 9fd1e6b dfc143a 9fd1e6b dfc143a c5e6494 dfc143a c5e6494 dfc143a c5e6494 dfc143a c5e6494 9fd1e6b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import gradio as gr
from infer_onnx import TTS
from ruaccent import RUAccent # https://huggingface.co/TeraTTS/accentuator
title = "GitHub with models: https://github.com/Tera2Space/RUTTS"
models = ["TeraTTS/natasha-g2p-vits", "TeraTTS/glados2-g2p-vits"]
models = {k:TTS(k) for k in models}
accentizer = RUAccent(workdir="./model/ruaccent", allow_cuda=False)
accentizer.load(omograph_model_size='medium', dict_load_startup=True)
def process_text(text: str) -> str:
text = accentizer.process_all(text)
return text
def text_to_speech(model_name, lenght_scale, text, prep_text):
if prep_text:
text = process_text(text)
audio = models[model_name](text, lenght_scale=lenght_scale)
models[model_name].save_wav(audio, 'temp.wav')
return 'temp.wav', f"Обработанный текст: '{text}'"
model_choice = gr.Dropdown(choices=list(models.keys()), value="TeraTTS/natasha-g2p-vits", label="Выберите модель")
input_text = gr.Textbox(label="Введите текст для синтеза речи")
prep_text = gr.Checkbox(label="Предобработать", info="Хотите пред обработать текст?(Ударения, ё)", value=True)
lenght_scale = gr.Slider(minimum=0.1, maximum=2.0, label="Lenght Scale(увеличить длину звучания) Default: 1.2", value=1.2)
output_audio = gr.Audio(label="Аудио", type="numpy")
output_text = gr.Textbox(label="Обработанный текст")
iface = gr.Interface(fn=text_to_speech, inputs=[model_choice, lenght_scale, input_text, prep_text], outputs=[output_audio, output_text], title=title)
iface.launch()
|