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| import argparse | |
| import json | |
| import os | |
| import re | |
| import tempfile | |
| import librosa | |
| import numpy as np | |
| import torch | |
| from torch import no_grad, LongTensor | |
| import commons | |
| import utils | |
| import gradio as gr | |
| import gradio.utils as gr_utils | |
| import gradio.processing_utils as gr_processing_utils | |
| from models import SynthesizerTrn | |
| from text import text_to_sequence, _clean_text | |
| from text.symbols import symbols | |
| from mel_processing import spectrogram_torch | |
| import translators.server as tss | |
| import psutil | |
| from datetime import datetime | |
| def audio_postprocess(self, y): | |
| if y is None: | |
| return None | |
| if gr_utils.validate_url(y): | |
| file = gr_processing_utils.download_to_file(y, dir=self.temp_dir) | |
| elif isinstance(y, tuple): | |
| sample_rate, data = y | |
| file = tempfile.NamedTemporaryFile( | |
| suffix=".wav", dir=self.temp_dir, delete=False | |
| ) | |
| gr_processing_utils.audio_to_file(sample_rate, data, file.name) | |
| else: | |
| file = gr_processing_utils.create_tmp_copy_of_file(y, dir=self.temp_dir) | |
| return gr_processing_utils.encode_url_or_file_to_base64(file.name) | |
| gr.Audio.postprocess = audio_postprocess | |
| limitation = os.getenv("SYSTEM") == "spaces" # limit text and audio length in huggingface spaces | |
| max_len = 150 | |
| empty_audio = np.zeros(22050) | |
| languages = ['日本語', '简体中文', 'English'] | |
| characters = ['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'] | |
| def show_memory_info(hint): | |
| pid = os.getpid() | |
| p = psutil.Process(pid) | |
| info = p.memory_info() | |
| memory = info.rss / 1024.0 / 1024 | |
| print("{} 内存占用: {} MB".format(hint, memory)) | |
| 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/G_1153000.pth", net_g, None) | |
| def infer(text_raw, character, language, duration, noise_scale, noise_scale_w): | |
| # check character & duraction parameter | |
| if language not in languages: | |
| print("Error: No such language\n") | |
| return "Error: No such language", (22050, empty_audio) | |
| if character not in characters: | |
| print("Error: No such character\n") | |
| return "Error: No such character", (22050, empty_audio) | |
| # check text length | |
| if limitation: | |
| text_len = len(re.sub("\[([A-Z]{2})\]", "", text_raw)) | |
| if text_len > max_len: | |
| print(f"Refused: Text too long ({text_len}).") | |
| return "Error: Text is too long", (22050, empty_audio) | |
| if text_len == 0: | |
| print("Refused: Text length is zero.") | |
| return "Error: Please input text!", (22050, empty_audio) | |
| if language == '日本語': | |
| text = text_raw | |
| elif language == '简体中文': | |
| text = tss.google(text_raw, from_language='zh', to_language='ja') | |
| elif language == 'English': | |
| text = tss.google(text_raw, 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=noise_scale, noise_scale_w=noise_scale_w, | |
| length_scale=duration)[0][0, 0].data.cpu().float().numpy() | |
| currentDateAndTime = datetime.now() | |
| print(f"\nCharacter {character} inference successful: {text}") | |
| if language != '日本語': | |
| print(f"translate from {language}: {text_raw}") | |
| show_memory_info(str(currentDateAndTime) + " infer调用后") | |
| return (text, (22050, audio)) | |
| download_audio_js = """ | |
| () =>{{ | |
| let root = document.querySelector("body > gradio-app"); | |
| if (root.shadowRoot != null) | |
| root = root.shadowRoot; | |
| let audio = root.querySelector("#{audio_id}").querySelector("audio"); | |
| if (audio == undefined) | |
| return; | |
| audio = audio.src; | |
| let oA = document.createElement("a"); | |
| oA.download = Math.floor(Math.random()*100000000)+'.wav'; | |
| oA.href = audio; | |
| document.body.appendChild(oA); | |
| oA.click(); | |
| oA.remove(); | |
| }} | |
| """ | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--share", action="store_true", default=False, help="share gradio app") | |
| args = parser.parse_args() | |
| app = gr.Blocks() | |
| with app: | |
| gr.Markdown("# Umamusume voice synthesizer 赛马娘语音合成器\n\n" | |
| "\n\n" | |
| "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\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。\n\n" | |
| "[introduction video / 模型介绍视频](https://www.bilibili.com/video/BV1T84y1e7p5/?vd_source=6d5c00c796eff1cbbe25f1ae722c2f9f#reply607277701)\n\n" | |
| "You may duplicate this space or [open in Colab](https://colab.research.google.com/drive/1J2Vm5dczTF99ckyNLXV0K-hQTxLwEaj5?usp=sharing) to run it privately and without any queue.\n\n" | |
| "您可以复制该空间至私人空间运行或打开[Google Colab](https://colab.research.google.com/drive/1J2Vm5dczTF99ckyNLXV0K-hQTxLwEaj5?usp=sharing)在线运行。\n\n" | |
| "If your input language is not Japanese, it will be translated to Japanese by Google translator, but accuracy is not guaranteed.\n\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。\n\n" | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| # We instantiate the Textbox class | |
| textbox = gr.Textbox(label="Text", placeholder="Type your sentence here (Maximum 150 words)", value = "こんにちわ！", lines=2) | |
| # select character | |
| char_dropdown = gr.Dropdown(choices=characters, value = "0:特别周", label='character') | |
| language_dropdown = gr.Dropdown(choices=languages, value = "日本語", label='language') | |
| duration_slider = gr.Slider(minimum=0.1, maximum=5, value=1, step=0.1, label='时长 Duration') | |
| noise_scale_slider = gr.Slider(minimum=0.1, maximum=5, value=0.667, step=0.001, label='噪声比例 noise_scale') | |
| noise_scale_w_slider = gr.Slider(minimum=0.1, maximum=5, value=0.8, step=0.1, label='噪声偏差 noise_scale_w') | |
| with gr.Column(): | |
| text_output = gr.Textbox(label="Output Text") | |
| audio_output = gr.Audio(label="Output Audio", elem_id="tts-audio") | |
| download = gr.Button("Download Audio") | |
| download.click(None, [], [], _js=download_audio_js.format(audio_id="tts-audio")) | |
| btn = gr.Button("Generate!") | |
| btn.click(infer, inputs=[textbox, char_dropdown, language_dropdown, | |
| duration_slider, noise_scale_slider, noise_scale_w_slider], | |
| outputs=[text_output, audio_output]) | |
| examples = [['お疲れ様です，トレーナーさん。', '1:无声铃鹿', '日本語', 1, 0.667, 0.8], | |
| ['張り切っていこう！', '67:北部玄驹', '日本語', 1, 0.667, 0.8], | |
| ['何でこんなに慣れでんのよ，私のほが先に好きだっだのに。', '10:草上飞', '日本語', 1, 0.667, 0.8], | |
| ['授業中に出しだら，学校生活終わるですわ。', '12:目白麦昆', '日本語', 1, 0.667, 0.8], | |
| ['お帰りなさい，お兄様！', '29:米浴', '日本語', 1, 0.667, 0.8], | |
| ['私の処女をもらっでください！', '29:米浴', '日本語', 1, 0.667, 0.8]] | |
| gr.Examples( | |
| examples=examples, | |
| inputs=[textbox, char_dropdown, language_dropdown, | |
| duration_slider, noise_scale_slider,noise_scale_w_slider], | |
| outputs=[text_output, audio_output], | |
| fn=infer | |
| ) | |
| app.queue(concurrency_count=3).launch(show_api=False, share=args.share) |