| import io |
| |
| import gradio as gr |
| import librosa |
| import numpy as np |
| import soundfile |
| from inference.infer_tool import Svc |
| import logging |
| from logmmse import logmmse |
|
|
| logging.getLogger('numba').setLevel(logging.WARNING) |
| |
| model_name = "logs/32k/uma1.pth" |
| config_name = "configs/uma1.json" |
| model2_name="logs/32k/uma2.pth" |
| config2_name = "configs/uma2.json" |
| model3_name="logs/32k/uma3.pth" |
| config3_name = "configs/uma3.json" |
| sid_map = { |
| "米浴":"rice", |
| "东海帝皇":"teio", |
| "爱慕织姬":"aimya", |
| "成田大进":"taishin", |
| "优秀素质":"nature", |
| "待兼诗歌剧":"mati", |
| "大拓太阳神":"sun", |
| "目白善信":"pama", |
| "第一红宝石":"ruby" |
| } |
|
|
| svc = Svc(model_name, config_name) |
| def vc_fn(sid, vc_input3,vc_input4,vc_transform,sid3): |
| if(vc_input3==None and vc_input4==None): |
| return "请上传一段音频后再次尝试", None |
| if sid3=='文件': |
| sampling_rate, audio = vc_input3 |
| else: |
| sampling_rate, audio = vc_input4 |
| |
| duration = audio.shape[0] / sampling_rate |
| audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32) |
| if len(audio.shape) > 1: |
| audio = librosa.to_mono(audio.transpose(1, 0)) |
| if sampling_rate != 32000: |
| audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=32000) |
| audio = logmmse(audio, 32000) |
| print(audio.shape) |
| out_wav_path = io.BytesIO() |
| soundfile.write(out_wav_path, audio, 32000, format="wav") |
| out_wav_path.seek(0) |
| sid = sid_map[sid] |
| print(sid) |
| |
| if sid in ["rice","teio","aimya"]: |
| svc = Svc(model_name, config_name) |
| if sid in ["taishin","nature","mati"]: |
| svc = Svc(model2_name, config2_name) |
| if sid in ["sun","ruby","pama"]: |
| svc = Svc(model3_name, config3_name) |
| out_audio, _out_sr = svc.infer(sid, vc_transform, out_wav_path) |
|
|
| _audio = out_audio.cpu().numpy() |
| return sid3, (32000, _audio) |
|
|
| |
| app = gr.Blocks() |
| with app: |
| with gr.Tabs(): |
| with gr.TabItem("Basic"): |
| gr.Markdown(value=""" |
| # 前言 |
| 本demo基于[sovits 3.0 32khz版本](https://github.com/innnky/so-vits-svc)训练的，并改写于 `https://huggingface.co/spaces/innnky/nyaru-svc-3.0`， |
| https://huggingface.co/spaces/yukie/yukie-sovits3等 |
| 特别感谢innnky佬与yukie佬 |
| 加载赛马娘语音，自用。 |
| """) |
| sid = gr.Dropdown(label="音色", choices=[ |
| "东海帝皇", "米浴","爱慕织姬", "成田大进","优秀素质","待兼诗歌剧","大拓太阳神","目白善信","第一红宝石"], value="东海帝皇") |
| sid2 = gr.Dropdown(label="上传方式", choices=[ |
| "文件", "录音"], value="文件") |
| vc_input3 = gr.Audio(label="上传音频") |
| vc_input4 = gr.Audio(source="microphone") |
| vc_transform = gr.Number( |
| label="变调（整数，可以正负，半音数量，升高八度就是12）", value=0) |
| vc_submit = gr.Button("转换", variant="primary") |
| vc_output1 = gr.Textbox(label="Output Message") |
| vc_output2 = gr.Audio(label="Output Audio") |
|
|
| gr.Markdown(value=""" |
| ## 注意 |
| 不要使用太长的语音 |
| """) |
| vc_submit.click(vc_fn, [sid,vc_input3,vc_input4, vc_transform,sid2], [ |
| vc_output1, vc_output2]) |
|
|
| app.launch() |
|
|
