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Create app.py
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app.py
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import matplotlib.pyplot as plt
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import IPython.display as ipd
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import os
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import json
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import math
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import torch
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from torch import nn
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from torch.nn import functional as F
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from torch.utils.data import DataLoader
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import translators as ts
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import commons
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import utils
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from data_utils import TextAudioLoader, TextAudioCollate, TextAudioSpeakerLoader, TextAudioSpeakerCollate
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from models import SynthesizerTrn
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from text.symbols import symbols
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from text import text_to_sequence
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import gradio as gr
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from scipy.io.wavfile import write
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def get_text(text, hps):
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text_norm = text_to_sequence(text, hps.data.text_cleaners)
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if hps.data.add_blank:
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text_norm = commons.intersperse(text_norm, 0)
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text_norm = torch.LongTensor(text_norm)
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return text_norm
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hps = utils.get_hparams_from_file("./configs/uma87.json")
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net_g = SynthesizerTrn(
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len(symbols),
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hps.data.filter_length // 2 + 1,
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hps.train.segment_size // hps.data.hop_length,
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n_speakers=hps.data.n_speakers,
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**hps.model)
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_ = net_g.eval()
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_ = utils.load_checkpoint("pretrained_models/uma87_639000.pth", net_g, None)
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title = "Umamusume voice synthesizer \n 赛马娘语音合成器"
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description = """
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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
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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。
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<img src="https://huggingface.co/spaces/Plachta/uma_voice/blob/main/small_202201136190132.jpg">
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"""
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article = """
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If your input language is not Japanese, it will be translated to Japanese by Google translator, but accuracy is not guaranteed.\n
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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。
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"""
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def infer(text, character, language):
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if language == '日本語':
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pass
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elif language == '简体中文':
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text = ts.google(text, from_language='zh', to_language-'ja')
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elif language == 'English':
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text = ts.google(text, from_language='en', to_language-'ja')
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char_id = int(character.split(':')[0])
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stn_tst = get_text(text, hps)
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with torch.no_grad():
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x_tst = stn_tst.cuda().unsqueeze(0)
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x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).cuda()
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sid = torch.LongTensor([char_id]).cuda()
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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()
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return (text,(22050, audio))
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# We instantiate the Textbox class
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textbox = gr.Textbox(label="Type your sentence here:", placeholder="お疲れ様です,トレーナーさん。", lines=2)
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# select character
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char_dropdown = gr.Dropdown(['0:特别周','1:无声铃鹿','2:东海帝王','3:丸善斯基',
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'4:富士奇迹','5:小栗帽','6:黄金船','7:伏特加',
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'8:大和赤骥','9:大树快车','10:草上飞','11:菱亚马逊',
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'12:目白麦昆','13:神鹰','14:好歌剧','15:成田白仁',
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'16:鲁道夫象征','17:气槽','18:爱丽数码','19:青云天空',
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'20:玉藻十字','21:美妙姿势','22:琵琶晨光','23:重炮',
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'24:曼城茶座','25:美普波旁','26:目白雷恩','27:菱曙',
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'28:雪之美人','29:米浴','30:艾尼斯风神','31:爱丽速子',
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'32:爱慕织姬','33:稻荷一','34:胜利奖券','35:空中神宫',
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'36:荣进闪耀','37:真机伶','38:川上公主','39:黄金城市',
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'40:樱花进王','41:采珠','42:新光风','43:东商变革',
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'44:超级小溪','45:醒目飞鹰','46:荒漠英雄','47:东瀛佐敦',
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'48:中山庆典','49:成田大进','50:西野花','51:春乌拉拉',
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'52:青竹回忆','53:微光飞驹','54:美丽周日','55:待兼福来',
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'56:Mr.C.B','57:名将怒涛','58:目白多伯','59:优秀素质',
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'60:帝王光环','61:待兼诗歌剧','62:生野狄杜斯','63:目白善信',
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'64:大拓太阳神','65:双涡轮','66:里见光钻','67:北部玄驹',
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'68:樱花千代王','69:天狼星象征','70:目白阿尔丹','71:八重无敌',
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'72:鹤丸刚志','73:目白光明','74:樱花桂冠','75:成田路',
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'76:也文摄辉','77:吉兆','78:谷野美酒','79:第一红宝石',
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'80:真弓快车','81:骏川手纲','82:凯斯奇迹','83:小林历奇',
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'84:北港火山','85:奇锐骏','86:秋川理事长'])
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language_dropdown = gr.Dropdown(['日本語','简体中文','English'])
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gr.Interface(fn=infer, inputs=[textbox, char_dropdown, language_dropdown], outputs=["text","audio"],
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title=title, description=description, article=article).launch()
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