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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, text, prep_text):
if prep_text:
text = process_text(text)
audio = models[model_name](text)
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)
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, input_text, prep_text], outputs=[output_audio, output_text], title=title)
iface.launch()
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