| import gradio as gr |
| from app.original import * |
|
|
|
|
| def infer_tabs(): |
| with gr.TabItem(i18n("模型推理")): |
| with gr.Row(): |
| sid0 = gr.Dropdown(label=i18n("推理音色"), choices=sorted(names)) |
| with gr.Column(): |
| refresh_button = gr.Button( |
| i18n("刷新音色列表和索引路径"), variant="primary" |
| ) |
| clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary") |
| spk_item = gr.Slider( |
| minimum=0, |
| maximum=2333, |
| step=1, |
| label=i18n("请选择说话人id"), |
| value=0, |
| visible=False, |
| interactive=True, |
| ) |
| clean_button.click( |
| fn=clean, inputs=[], outputs=[sid0], api_name="infer_clean" |
| ) |
| with gr.TabItem(i18n("单次推理")): |
| with gr.Group(): |
| with gr.Row(): |
| with gr.Column(): |
| vc_transform0 = gr.Number( |
| label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), |
| value=0, |
| ) |
| input_audio0 = gr.Textbox( |
| label=i18n( |
| "输入待处理音频文件路径(默认是正确格式示例)" |
| ), |
| placeholder="C:\\Users\\Desktop\\audio_example.wav", |
| ) |
| file_index1 = gr.Textbox( |
| label=i18n( |
| "特征检索库文件路径,为空则使用下拉的选择结果" |
| ), |
| placeholder="C:\\Users\\Desktop\\model_example.index", |
| interactive=True, |
| ) |
| file_index2 = gr.Dropdown( |
| label=i18n("自动检测index路径,下拉式选择(dropdown)"), |
| choices=sorted(index_paths), |
| interactive=True, |
| ) |
| f0method0 = gr.Radio( |
| label=i18n( |
| "选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU" |
| ), |
| choices=( |
| ["pm", "harvest", "crepe", "rmvpe"] |
| if config.dml == False |
| else ["pm", "harvest", "rmvpe"] |
| ), |
| value="rmvpe", |
| interactive=True, |
| ) |
|
|
| with gr.Column(): |
| resample_sr0 = gr.Slider( |
| minimum=0, |
| maximum=48000, |
| label=i18n("后处理重采样至最终采样率，0为不进行重采样"), |
| value=0, |
| step=1, |
| interactive=True, |
| ) |
| rms_mix_rate0 = gr.Slider( |
| minimum=0, |
| maximum=1, |
| label=i18n( |
| "输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络" |
| ), |
| value=0.25, |
| interactive=True, |
| ) |
| protect0 = gr.Slider( |
| minimum=0, |
| maximum=0.5, |
| label=i18n( |
| "保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果" |
| ), |
| value=0.33, |
| step=0.01, |
| interactive=True, |
| ) |
| filter_radius0 = gr.Slider( |
| minimum=0, |
| maximum=7, |
| label=i18n( |
| ">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音" |
| ), |
| value=3, |
| step=1, |
| interactive=True, |
| ) |
| index_rate1 = gr.Slider( |
| minimum=0, |
| maximum=1, |
| label=i18n("检索特征占比"), |
| value=0.75, |
| interactive=True, |
| ) |
| f0_file = gr.File( |
| label=i18n( |
| "F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调" |
| ), |
| visible=False, |
| ) |
|
|
| refresh_button.click( |
| fn=change_choices, |
| inputs=[], |
| outputs=[sid0, file_index2], |
| api_name="infer_refresh", |
| ) |
| |
| |
| |
| |
| |
| with gr.Group(): |
| with gr.Column(): |
| but0 = gr.Button(i18n("转换"), variant="primary") |
| with gr.Row(): |
| vc_output1 = gr.Textbox(label=i18n("输出信息")) |
| vc_output2 = gr.Audio( |
| label=i18n("输出音频(右下角三个点,点了可以下载)") |
| ) |
|
|
| but0.click( |
| vc.vc_single, |
| [ |
| spk_item, |
| input_audio0, |
| vc_transform0, |
| f0_file, |
| f0method0, |
| file_index1, |
| file_index2, |
| |
| index_rate1, |
| filter_radius0, |
| resample_sr0, |
| rms_mix_rate0, |
| protect0, |
| ], |
| [vc_output1, vc_output2], |
| api_name="infer_convert", |
| ) |
| with gr.TabItem(i18n("批量推理")): |
| gr.Markdown( |
| value=i18n( |
| "批量转换, 输入待转换音频文件夹, 或上传多个音频文件, 在指定文件夹(默认opt)下输出转换的音频. " |
| ) |
| ) |
| with gr.Row(): |
| with gr.Column(): |
| vc_transform1 = gr.Number( |
| label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), |
| value=0, |
| ) |
| opt_input = gr.Textbox( |
| label=i18n("指定输出文件夹"), value="opt" |
| ) |
| file_index3 = gr.Textbox( |
| label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"), |
| value="", |
| interactive=True, |
| ) |
| file_index4 = gr.Dropdown( |
| label=i18n("自动检测index路径,下拉式选择(dropdown)"), |
| choices=sorted(index_paths), |
| interactive=True, |
| ) |
| f0method1 = gr.Radio( |
| label=i18n( |
| "选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU" |
| ), |
| choices=( |
| ["pm", "harvest", "crepe", "rmvpe"] |
| if config.dml == False |
| else ["pm", "harvest", "rmvpe"] |
| ), |
| value="rmvpe", |
| interactive=True, |
| ) |
| format1 = gr.Radio( |
| label=i18n("导出文件格式"), |
| choices=["wav", "flac", "mp3", "m4a"], |
| value="wav", |
| interactive=True, |
| ) |
|
|
| refresh_button.click( |
| fn=lambda: change_choices()[1], |
| inputs=[], |
| outputs=file_index4, |
| api_name="infer_refresh_batch", |
| ) |
| |
| |
| |
| |
| |
|
|
| with gr.Column(): |
| resample_sr1 = gr.Slider( |
| minimum=0, |
| maximum=48000, |
| label=i18n("后处理重采样至最终采样率，0为不进行重采样"), |
| value=0, |
| step=1, |
| interactive=True, |
| ) |
| rms_mix_rate1 = gr.Slider( |
| minimum=0, |
| maximum=1, |
| label=i18n( |
| "输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络" |
| ), |
| value=1, |
| interactive=True, |
| ) |
| protect1 = gr.Slider( |
| minimum=0, |
| maximum=0.5, |
| label=i18n( |
| "保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果" |
| ), |
| value=0.33, |
| step=0.01, |
| interactive=True, |
| ) |
| filter_radius1 = gr.Slider( |
| minimum=0, |
| maximum=7, |
| label=i18n( |
| ">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音" |
| ), |
| value=3, |
| step=1, |
| interactive=True, |
| ) |
| index_rate2 = gr.Slider( |
| minimum=0, |
| maximum=1, |
| label=i18n("检索特征占比"), |
| value=1, |
| interactive=True, |
| ) |
| with gr.Row(): |
| dir_input = gr.Textbox( |
| label=i18n( |
| "输入待处理音频文件夹路径(去文件管理器地址栏拷就行了)" |
| ), |
| placeholder="C:\\Users\\Desktop\\input_vocal_dir", |
| ) |
| inputs = gr.File( |
| file_count="multiple", |
| label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹"), |
| ) |
|
|
| with gr.Row(): |
| but1 = gr.Button(i18n("转换"), variant="primary") |
| vc_output3 = gr.Textbox(label=i18n("输出信息")) |
|
|
| but1.click( |
| vc.vc_multi, |
| [ |
| spk_item, |
| dir_input, |
| opt_input, |
| inputs, |
| vc_transform1, |
| f0method1, |
| file_index3, |
| file_index4, |
| |
| index_rate2, |
| filter_radius1, |
| resample_sr1, |
| rms_mix_rate1, |
| protect1, |
| format1, |
| ], |
| [vc_output3], |
| api_name="infer_convert_batch", |
| ) |
| sid0.change( |
| fn=vc.get_vc, |
| inputs=[sid0, protect0, protect1], |
| outputs=[spk_item, protect0, protect1, file_index2, file_index4], |
| api_name="infer_change_voice", |
| ) |
|
|
