ukrainian-tts / app.py
Yurii Paniv
Release 3.0.0
3502c7a
raw history blame
No virus
4.84 kB
import tempfile
import gradio as gr
from TTS.utils.synthesizer import Synthesizer
import requests
from os.path import exists
from formatter import preprocess_text
from datetime import datetime
from enum import Enum
import torch
class StressOption(Enum):
AutomaticStress = "Автоматичні наголоси (за словником) 📖"
AutomaticStressWithModel = "Автоматичні наголоси (за допомогою моделі) 🧮"
class VoiceOption(Enum):
Olena = "Олена (жіночий) 👩"
Mykyta = "Микита (чоловічий) 👨"
Lada = "Лада (жіночий) 👩"
def download(url, file_name):
if not exists(file_name):
print(f"Downloading {file_name}")
r = requests.get(url, allow_redirects=True)
with open(file_name, "wb") as file:
file.write(r.content)
else:
print(f"Found {file_name}. Skipping download...")
print("downloading uk/mykyta/vits-tts")
release_number = "v3.0.0-alpha"
model_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/model-inference.pth"
config_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/config.json"
speakers_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/speakers.pth"
model_path = "model.pth"
config_path = "config.json"
speakers_path = "speakers.pth"
download(model_link, model_path)
download(config_link, config_path)
download(speakers_link, speakers_path)
badge = (
"https://visitor-badge-reloaded.herokuapp.com/badge?page_id=robinhad.ukrainian-tts"
)
synthesizer = Synthesizer(
model_path,
config_path,
speakers_path,
None,
None,
)
if synthesizer is None:
raise NameError("model not found")
def tts(text: str, voice: str, stress: str):
print("============================")
print("Original text:", text)
print("Voice", voice)
print("Stress:", stress)
print("Time:", datetime.utcnow())
autostress_with_model = (
True if stress == StressOption.AutomaticStressWithModel.value else False
)
speaker_name = "mykyta"
if voice == VoiceOption.Olena.value:
speaker_name = "olena"
elif voice == VoiceOption.Lada.value:
speaker_name = "lada"
text = preprocess_text(text, autostress_with_model)
text_limit = 7200
text = (
text if len(text) < text_limit else text[0:text_limit]
) # mitigate crashes on hf space
print("Converted:", text)
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
with torch.no_grad():
wavs = synthesizer.tts(text, speaker_name=speaker_name)
synthesizer.save_wav(wavs, fp)
return fp.name, text
with open("README.md") as file:
article = file.read()
article = article[article.find("---\n", 4) + 5::]
iface = gr.Interface(
fn=tts,
inputs=[
gr.inputs.Textbox(
label="Input",
default="Введіть, будь ласка, своє р+ечення.",
),
gr.inputs.Radio(
label="Голос",
choices=[option.value for option in VoiceOption],
default=VoiceOption.Olena.value,
),
gr.inputs.Radio(
label="Наголоси",
choices=[option.value for option in StressOption],
),
],
outputs=[
gr.outputs.Audio(label="Output"),
gr.outputs.Textbox(label="Наголошений текст"),
],
title="🐸💬🇺🇦 - Coqui TTS",
description="Україномовний🇺🇦 TTS за допомогою Coqui TTS (щоб вручну поставити наголос, використовуйте + перед голосною)",
article=article + f'\n <center><img src="{badge}" alt="visitors badge"/></center>',
examples=[
[
"Введіть, будь ласка, своє речення.",
VoiceOption.Olena.value,
StressOption.AutomaticStress.value,
],
[
"Введіть, будь ласка, своє речення.",
VoiceOption.Mykyta.value,
StressOption.AutomaticStress.value,
],
[
"Вв+едіть, будь ласка, св+оє реч+ення.",
VoiceOption.Mykyta.value,
StressOption.AutomaticStress.value,
],
[
"Привіт, як тебе звати?",
VoiceOption.Olena.value,
StressOption.AutomaticStress.value,
],
[
"Договір підписано 4 квітня 1949 року.",
VoiceOption.Lada.value,
StressOption.AutomaticStress.value,
],
],
)
iface.launch(enable_queue=True)