Spaces:
Running
Running
import os | |
import json | |
import math | |
import torch | |
from torch import nn | |
from torch.nn import functional as F | |
from torch.utils.data import DataLoader | |
import translators.server as tss | |
import commons | |
import utils | |
from data_utils import TextAudioLoader, TextAudioCollate, TextAudioSpeakerLoader, TextAudioSpeakerCollate | |
from models import SynthesizerTrn | |
from text.symbols import symbols | |
from text import text_to_sequence | |
import gradio as gr | |
from scipy.io.wavfile import write | |
def get_text(text, hps): | |
text_norm = text_to_sequence(text, hps.data.text_cleaners) | |
if hps.data.add_blank: | |
text_norm = commons.intersperse(text_norm, 0) | |
text_norm = torch.LongTensor(text_norm) | |
return text_norm | |
hps = utils.get_hparams_from_file("./configs/uma87.json") | |
net_g = SynthesizerTrn( | |
len(symbols), | |
hps.data.filter_length // 2 + 1, | |
hps.train.segment_size // hps.data.hop_length, | |
n_speakers=hps.data.n_speakers, | |
**hps.model) | |
_ = net_g.eval() | |
_ = utils.load_checkpoint("pretrained_models/uma87_639000.pth", net_g, None) | |
title = "Umamusume voice synthesizer \n 赛马娘语音合成器" | |
description = """ | |
This synthesizer is created based on VITS (https://arxiv.org/abs/2106.06103) model, trained on voice data extracted from mobile game <Umamusume Pretty Derby>\n | |
这个合成器是基于VITS文本到语音模型,在从手游《賽馬娘:Pretty Derby》解包的语音数据上训练得到。 | |
""" | |
article = """ | |
If your input language is not Japanese, it will be translated to Japanese by Google translator, but accuracy is not guaranteed.\n | |
如果您的输入语言不是日语,则会由谷歌翻译自动翻译为日语,但是准确性不能保证。 | |
""" | |
def infer(text, character, language): | |
if language == '日本語': | |
pass | |
elif language == '简体中文': | |
text = tss.google(text, from_language='zh', to_language='ja') | |
elif language == 'English': | |
text = tss.google(text, from_language='en', to_language='ja') | |
char_id = int(character.split(':')[0]) | |
stn_tst = get_text(text, hps) | |
with torch.no_grad(): | |
x_tst = stn_tst.unsqueeze(0) | |
x_tst_lengths = torch.LongTensor([stn_tst.size(0)]) | |
sid = torch.LongTensor([char_id]) | |
audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=.667, noise_scale_w=0.8, length_scale=1)[0][0,0].data.cpu().float().numpy() | |
return (text,(22050, audio)) | |
# We instantiate the Textbox class | |
textbox = gr.Textbox(label="Type your sentence here:", placeholder="お疲れ様です,トレーナーさん。", lines=2) | |
# select character | |
char_dropdown = gr.Dropdown(['0:特别周','1:无声铃鹿','2:东海帝王','3:丸善斯基', | |
'4:富士奇迹','5:小栗帽','6:黄金船','7:伏特加', | |
'8:大和赤骥','9:大树快车','10:草上飞','11:菱亚马逊', | |
'12:目白麦昆','13:神鹰','14:好歌剧','15:成田白仁', | |
'16:鲁道夫象征','17:气槽','18:爱丽数码','19:青云天空', | |
'20:玉藻十字','21:美妙姿势','22:琵琶晨光','23:重炮', | |
'24:曼城茶座','25:美普波旁','26:目白雷恩','27:菱曙', | |
'28:雪之美人','29:米浴','30:艾尼斯风神','31:爱丽速子', | |
'32:爱慕织姬','33:稻荷一','34:胜利奖券','35:空中神宫', | |
'36:荣进闪耀','37:真机伶','38:川上公主','39:黄金城市', | |
'40:樱花进王','41:采珠','42:新光风','43:东商变革', | |
'44:超级小溪','45:醒目飞鹰','46:荒漠英雄','47:东瀛佐敦', | |
'48:中山庆典','49:成田大进','50:西野花','51:春乌拉拉', | |
'52:青竹回忆','53:微光飞驹','54:美丽周日','55:待兼福来', | |
'56:Mr.C.B','57:名将怒涛','58:目白多伯','59:优秀素质', | |
'60:帝王光环','61:待兼诗歌剧','62:生野狄杜斯','63:目白善信', | |
'64:大拓太阳神','65:双涡轮','66:里见光钻','67:北部玄驹', | |
'68:樱花千代王','69:天狼星象征','70:目白阿尔丹','71:八重无敌', | |
'72:鹤丸刚志','73:目白光明','74:樱花桂冠','75:成田路', | |
'76:也文摄辉','77:吉兆','78:谷野美酒','79:第一红宝石', | |
'80:真弓快车','81:骏川手纲','82:凯斯奇迹','83:小林历奇', | |
'84:北港火山','85:奇锐骏','86:秋川理事长']) | |
language_dropdown = gr.Dropdown(['日本語','简体中文','English']) | |
examples = [['このデモを使用していただき,ありがとうございます!', '12:目白麦昆', '日本語'], | |
['トレーナーさん,今日はなにお食べます?', '2:东海帝王', '日本語'], | |
['おにいさまは,ライスのこと,好きですか,それども嫌い?', '29:米浴','日本語'], | |
['トレーナーさんは,本当に優しい人ですね。', '24:曼城茶座','日本語']] | |
gr.Interface(fn=infer, inputs=[textbox, char_dropdown, language_dropdown], outputs=["text","audio"], | |
title=title, description=description, article=article, examples = examples).launch() |