File size: 2,637 Bytes
eb8c82c
 
 
 
 
 
49fc4a4
 
c7de0f6
eb8c82c
 
8472231
eb8c82c
 
 
 
 
49fc4a4
 
 
 
 
 
 
 
 
 
 
eb8c82c
 
8472231
 
 
49fc4a4
8472231
cb6b82c
49fc4a4
cb6b82c
 
eb8c82c
 
cb6b82c
eb8c82c
 
 
 
 
890295c
c7de0f6
eb8c82c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3e61708
eb8c82c
 
49fc4a4
eb8c82c
 
 
 
49fc4a4
eb8c82c
8472231
3e61708
 
eb8c82c
 
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
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
import tempfile

import gradio as gr

from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer
import requests
from os.path import exists
from formatter import preprocess_text

MODEL_NAMES = [
    "uk/mykyta/vits-tts"
]
MODELS = {}

manager = ModelManager()


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...")


for MODEL_NAME in MODEL_NAMES:
    print(f"downloading {MODEL_NAME}")
    release_number = "v2.0.0-beta"
    model_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/model.pth"
    config_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/config.json"

    model_path = "model.pth"
    config_path = "config.json"

    download(model_link, model_path)
    download(config_link, config_path)

    synthesizer = Synthesizer(
        model_path, config_path, None, None, None,
    )
    MODELS[MODEL_NAME] = synthesizer


def tts(text: str, model_name: str):
    text = text if len(text) < 500 else text[0:500] # mitigate crashes on hf space
    text = preprocess_text(text)
    print(text, model_name)
    synthesizer = MODELS.get(model_name, None)
    if synthesizer is None:
        raise NameError("model not found")
    wavs = synthesizer.tts(text)
    # output = (synthesizer.output_sample_rate, np.array(wavs))
    # return output
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        synthesizer.save_wav(wavs, fp)
        return fp.name


iface = gr.Interface(
    fn=tts,
    inputs=[
        gr.inputs.Textbox(
            label="Input",
            default="Введіть, будь ласка, своє речення.",
        ),
        gr.inputs.Radio(
            label="Виберіть TTS модель",
            choices=MODEL_NAMES,
        ),
    ],
    outputs=gr.outputs.Audio(label="Output"),
    title="🐸💬🇺🇦 - Coqui TTS",
    theme="huggingface",
    description="Україномовний🇺🇦 TTS за допомогою Coqui TTS (для наголосу використовуйте + перед голосною)",
    article="Якщо вам подобається, підтримайте за посиланням: [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm),  " +
    "Github: [https://github.com/robinhad/ukrainian-tts](https://github.com/robinhad/ukrainian-tts)",
)
iface.launch()