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| import gradio as gr | |
| from rvc import * | |
| from argparse import ArgumentParser | |
| import os, sys | |
| if __name__ == '__main__': | |
| parser = ArgumentParser(description='gorge rvc', add_help=True) | |
| parser.add_argument("--share", action="store_true", dest="share_enabled", default=False, help="Enable sharing") | |
| parser.add_argument("--listen", action="store_true", default=False, help="Make the WebUI reachable from your local network.") | |
| parser.add_argument('--listen-host', type=str, help='The hostname that the server will use.') | |
| parser.add_argument('--listen-port', type=int, help='The listening port that the server will use.') | |
| args = parser.parse_args() | |
| warning = sys.argv[0] | |
| if warning == 'True': | |
| warning = True | |
| elif warning == 'False': | |
| warning = False | |
| with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app: | |
| gr.HTML("<h1> RVC V2 Huggingface Version </h1>") | |
| if warning: | |
| gr.HTML("<h10> Huggingface version of Easy GUI by Rejekts </h10>") | |
| with gr.Tabs(): | |
| with gr.TabItem("Inference"): | |
| # Inference Preset Row | |
| # with gr.Row(): | |
| # mangio_preset = gr.Dropdown(label="Inference Preset", choices=sorted(get_presets())) | |
| # mangio_preset_name_save = gr.Textbox( | |
| # label="Your preset name" | |
| # ) | |
| # mangio_preset_save_btn = gr.Button('Save Preset', variant="primary") | |
| # Other RVC stuff | |
| with gr.Row(): | |
| sid0 = gr.Dropdown(label="1.Choose your Model.", choices=sorted(names), value=check_for_name()) | |
| refresh_button = gr.Button("Refresh", variant="primary") | |
| if check_for_name() != '': | |
| get_vc(sorted(names)[0]) | |
| vc_transform0 = gr.Number(label="Optional: You can change the pitch here or leave it at 0.", value=0) | |
| #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]) | |
| sid0.change( | |
| fn=get_vc, | |
| inputs=[sid0], | |
| outputs=[spk_item], | |
| ) | |
| but0 = gr.Button("Convert", variant="primary") | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| dropbox = gr.File(label="Drop your audio here & hit the Reload button.") | |
| with gr.Row(): | |
| record_button=gr.Audio(source="microphone", label="OR Record audio.", type="filepath") | |
| with gr.Row(): | |
| input_audio0 = gr.Dropdown( | |
| label="2.Choose your audio.", | |
| value="./audios/someguy.mp3", | |
| choices=audio_files | |
| ) | |
| dropbox.upload(fn=save_to_wav2, inputs=[dropbox], outputs=[input_audio0]) | |
| dropbox.upload(fn=change_choices2, inputs=[], outputs=[input_audio0]) | |
| refresh_button2 = gr.Button("Refresh", variant="primary", size='sm') | |
| record_button.change(fn=save_to_wav, inputs=[record_button], outputs=[input_audio0]) | |
| record_button.change(fn=change_choices2, inputs=[], outputs=[input_audio0]) | |
| with gr.Row(): | |
| with gr.Accordion('Text To Speech', open=False): | |
| with gr.Column(): | |
| lang = gr.Radio(label='Chinese & Japanese do not work with ElevenLabs currently.',choices=['en','es','fr','pt','zh-CN','de','hi','ja'], value='en') | |
| api_box = gr.Textbox(label="Enter your API Key for ElevenLabs, or leave empty to use GoogleTTS", value='') | |
| elevenid=gr.Dropdown(label="Voice:", choices=eleven_voices) | |
| with gr.Column(): | |
| tfs = gr.Textbox(label="Input your Text", interactive=True, value="This is a test.") | |
| tts_button = gr.Button(value="Speak") | |
| tts_button.click(fn=elevenTTS, inputs=[api_box,tfs, elevenid, lang], outputs=[record_button, input_audio0]) | |
| with gr.Row(): | |
| with gr.Accordion('Wav2Lip', open=False): | |
| with gr.Row(): | |
| size = gr.Radio(label='Resolution:',choices=['Half','Full']) | |
| face = gr.UploadButton("Upload A Character",type='file') | |
| faces = gr.Dropdown(label="OR Choose one:", choices=['None','Ben Shapiro','Andrew Tate']) | |
| with gr.Row(): | |
| preview = gr.Textbox(label="Status:",interactive=False) | |
| face.upload(fn=success_message,inputs=[face], outputs=[preview, faces]) | |
| with gr.Row(): | |
| animation = gr.Video(type='filepath') | |
| refresh_button2.click(fn=change_choices2, inputs=[], outputs=[input_audio0, animation]) | |
| with gr.Row(): | |
| animate_button = gr.Button('Animate') | |
| with gr.Column(): | |
| with gr.Accordion("Index Settings", open=False): | |
| file_index1 = gr.Dropdown( | |
| label="3. Path to your added.index file (if it didn't automatically find it.)", | |
| choices=get_indexes(), | |
| value=get_index(), | |
| interactive=True, | |
| ) | |
| sid0.change(fn=match_index, inputs=[sid0],outputs=[file_index1]) | |
| refresh_button.click( | |
| fn=change_choices, inputs=[], outputs=[sid0, file_index1] | |
| ) | |
| # file_big_npy1 = gr.Textbox( | |
| # label=i18n("特征文件路径"), | |
| # value="E:\\codes\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy", | |
| # interactive=True, | |
| # ) | |
| index_rate1 = gr.Slider( | |
| minimum=0, | |
| maximum=1, | |
| label=i18n("检索特征占比"), | |
| value=0.66, | |
| interactive=True, | |
| ) | |
| vc_output2 = gr.Audio( | |
| label="Output Audio (Click on the Three Dots in the Right Corner to Download)", | |
| type='filepath', | |
| interactive=False, | |
| ) | |
| animate_button.click(fn=mouth, inputs=[size, face, vc_output2, faces], outputs=[animation, preview]) | |
| with gr.Accordion("Advanced Settings", open=False): | |
| f0method0 = gr.Radio( | |
| label="Optional: Change the Pitch Extraction Algorithm.\nExtraction methods are sorted from 'worst quality' to 'best quality'.\nmangio-crepe may or may not be better than rmvpe in cases where 'smoothness' is more important, but rmvpe is the best overall.", | |
| choices=["pm", "dio", "crepe-tiny", "mangio-crepe-tiny", "crepe", "harvest", "mangio-crepe", "rmvpe"], # Fork Feature. Add Crepe-Tiny | |
| value="rmvpe", | |
| interactive=True, | |
| ) | |
| crepe_hop_length = gr.Slider( | |
| minimum=1, | |
| maximum=512, | |
| step=1, | |
| label="Mangio-Crepe Hop Length. Higher numbers will reduce the chance of extreme pitch changes but lower numbers will increase accuracy. 64-192 is a good range to experiment with.", | |
| value=120, | |
| interactive=True, | |
| visible=False, | |
| ) | |
| f0method0.change(fn=whethercrepeornah, inputs=[f0method0], outputs=[crepe_hop_length]) | |
| 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, | |
| ) | |
| 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, | |
| visible=False | |
| ) | |
| 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=0.21, | |
| 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, | |
| ) | |
| formanting = gr.Checkbox( | |
| value=bool(DoFormant), | |
| label="[EXPERIMENTAL] Formant shift inference audio", | |
| info="Used for male to female and vice-versa conversions", | |
| interactive=True, | |
| visible=True, | |
| ) | |
| formant_preset = gr.Dropdown( | |
| value='', | |
| choices=get_fshift_presets(), | |
| label="browse presets for formanting", | |
| visible=bool(DoFormant), | |
| ) | |
| formant_refresh_button = gr.Button( | |
| value='\U0001f504', | |
| visible=bool(DoFormant), | |
| variant='primary', | |
| ) | |
| #formant_refresh_button = ToolButton( elem_id='1') | |
| #create_refresh_button(formant_preset, lambda: {"choices": formant_preset}, "refresh_list_shiftpresets") | |
| qfrency = gr.Slider( | |
| value=Quefrency, | |
| info="Default value is 1.0", | |
| label="Quefrency for formant shifting", | |
| minimum=0.0, | |
| maximum=16.0, | |
| step=0.1, | |
| visible=bool(DoFormant), | |
| interactive=True, | |
| ) | |
| tmbre = gr.Slider( | |
| value=Timbre, | |
| info="Default value is 1.0", | |
| label="Timbre for formant shifting", | |
| minimum=0.0, | |
| maximum=16.0, | |
| step=0.1, | |
| visible=bool(DoFormant), | |
| interactive=True, | |
| ) | |
| formant_preset.change(fn=preset_apply, inputs=[formant_preset, qfrency, tmbre], outputs=[qfrency, tmbre]) | |
| frmntbut = gr.Button("Apply", variant="primary", visible=bool(DoFormant)) | |
| formanting.change(fn=formant_enabled,inputs=[formanting,qfrency,tmbre,frmntbut,formant_preset,formant_refresh_button],outputs=[formanting,qfrency,tmbre,frmntbut,formant_preset,formant_refresh_button]) | |
| frmntbut.click(fn=formant_apply,inputs=[qfrency, tmbre], outputs=[qfrency, tmbre]) | |
| formant_refresh_button.click(fn=update_fshift_presets,inputs=[formant_preset, qfrency, tmbre],outputs=[formant_preset, qfrency, tmbre]) | |
| with gr.Row(): | |
| vc_output1 = gr.Textbox("") | |
| 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) | |
| but0.click( | |
| vc_single, | |
| [ | |
| spk_item, | |
| input_audio0, | |
| vc_transform0, | |
| f0_file, | |
| f0method0, | |
| file_index1, | |
| # file_index2, | |
| # file_big_npy1, | |
| index_rate1, | |
| filter_radius0, | |
| resample_sr0, | |
| rms_mix_rate0, | |
| protect0, | |
| crepe_hop_length | |
| ], | |
| [vc_output1, vc_output2], | |
| ) | |
| with gr.Accordion("Batch Conversion",open=False): | |
| 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") | |
| 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" | |
| ), | |
| choices=["pm", "harvest", "crepe", "rmvpe"], | |
| value="rmvpe", | |
| 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, | |
| ) | |
| with gr.Column(): | |
| 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, | |
| ) | |
| refresh_button.click( | |
| fn=lambda: change_choices()[1], | |
| inputs=[], | |
| outputs=file_index4, | |
| ) | |
| # file_big_npy2 = gr.Textbox( | |
| # label=i18n("特征文件路径"), | |
| # value="E:\\codes\\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy", | |
| # interactive=True, | |
| # ) | |
| index_rate2 = gr.Slider( | |
| minimum=0, | |
| maximum=1, | |
| label=i18n("检索特征占比"), | |
| value=1, | |
| interactive=True, | |
| ) | |
| 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, | |
| ) | |
| with gr.Column(): | |
| 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)"), | |
| value="E:\codes\py39\\test-20230416b\\todo-songs", | |
| ) | |
| 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(): | |
| format1 = gr.Radio( | |
| label=i18n("导出文件格式"), | |
| choices=["wav", "flac", "mp3", "m4a"], | |
| value="flac", | |
| interactive=True, | |
| ) | |
| but1 = gr.Button(i18n("转换"), variant="primary") | |
| vc_output3 = gr.Textbox(label=i18n("输出信息")) | |
| but1.click( | |
| vc_multi, | |
| [ | |
| spk_item, | |
| dir_input, | |
| opt_input, | |
| inputs, | |
| vc_transform1, | |
| f0method1, | |
| file_index3, | |
| file_index4, | |
| # file_big_npy2, | |
| index_rate2, | |
| filter_radius1, | |
| resample_sr1, | |
| rms_mix_rate1, | |
| protect1, | |
| format1, | |
| crepe_hop_length, | |
| ], | |
| [vc_output3], | |
| ) | |
| but1.click(fn=lambda: easy_uploader.clear()) | |
| with gr.TabItem("Download Model"): | |
| with gr.Row(): | |
| url=gr.Textbox(label="Enter the URL to the Model:") | |
| with gr.Row(): | |
| model = gr.Textbox(label="Name your model:") | |
| download_button=gr.Button("Download") | |
| with gr.Row(): | |
| status_bar=gr.Textbox(label="") | |
| download_button.click(fn=download_from_url, inputs=[url, model], outputs=[status_bar]) | |
| with gr.Row(): | |
| gr.Markdown( | |
| """ | |
| Original RVC:https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI Mangio’s RVC Fork:https://github.com/Mangio621/Mangio-RVC-Fork ❤️ If you like the EasyGUI, help me keep it.❤️ https://paypal.me/lesantillan | |
| """ | |
| ) | |
| app.launch(share=args.share_enabled) |