Update app.py

app.py

@@ -450,7 +450,7 @@ def get_vc(sid):
             cpt = None
         return {"visible": False, "__type__": "update"}
     person = "%s/%s" % (weight_root, sid)
-    print("loading %s" % person)
+    print("Загрузка %s" % person)
     cpt = torch.load(person, map_location="cpu")
     tgt_sr = cpt["config"][-1]
     cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
@@ -1472,10 +1472,10 @@ def zip_downloader(model):
 
 with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
     with gr.Tabs():
-        with gr.TabItem("Inference"):
+        with gr.TabItem("Интерфейс"):
             gr.HTML("<h1>  RVC V2 Huggingface Version   </h1>")     
-            gr.HTML("<h10>   Huggingface version made by Clebersla   </h10>")   
-            gr.HTML("<h4>  If you want to use this space privately, I recommend you duplicate the space.  </h4>")
+            gr.HTML("<h10>   Huggingface version выполненная Clebersla (https://huggingface.co/spaces/Clebersla/RVC_V2_Huggingface_Version)   </h10>")   
+            gr.HTML("<h4>  Если вы хотите использовать это помещение в частном порядке, я рекомендую продублировать его.  </h4>")
 
             # Inference Preset Row
             # with gr.Row():
@@ -1487,11 +1487,11 @@ with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
 
             # 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")
+                sid0 = gr.Dropdown(label="1.Выберите свою модель.", choices=sorted(names), value=check_for_name())
+                refresh_button = gr.Button("Обновить", 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)
+                vc_transform0 = gr.Number(label="Дополнительно: Здесь можно изменить высоту тона или оставить ее равной 0.", value=0)
                 #clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary")
                 spk_item = gr.Slider(
                     minimum=0,
@@ -1508,53 +1508,39 @@ with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
                     inputs=[sid0],
                     outputs=[spk_item],
                 )
-                but0 = gr.Button("Convert", variant="primary")
+                but0 = gr.Button("Конвертировать", variant="primary")
             with gr.Row():
                 with gr.Column():
                     with gr.Row():
-                        dropbox = gr.File(label="Drop your audio here & hit the Reload button.")
+                        dropbox = gr.File(label='Отправьте аудиозапись сюда и нажмите кнопку "Перезагрузка".')
                     with gr.Row():
-                        record_button=gr.Audio(source="microphone", label="OR Record audio.", type="filepath")
+                        record_button=gr.Audio(source="microphone", label="Запись звука с микрофона.", type="filepath")
                     with gr.Row():
                         input_audio0 = gr.Dropdown(
-                            label="2.Choose your audio.",
+                            label="2.Выберите аудиозапись.",
                             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')
+                        refresh_button2 = gr.Button("Обновить", 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.Accordion('Текст в речь', 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)
+                                lang = gr.Radio(label='Китайский и японский языки в настоящее время не работают с ElevenLabs.',choices=['en','es','fr','pt','zh-CN','de','hi','ja','ua'], value='en')
+                                api_box = gr.Textbox(label="Введите свой API-ключ для ElevenLabs или оставьте пустым, чтобы использовать GoogleTTS", value='')
+                                elevenid=gr.Dropdown(label="Голос:", 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")
+                                tfs = gr.Textbox(label="Введите свой текст", interactive=True, value="This is a test.")
+                                tts_button = gr.Button(value="Генерировать")
                                 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):
+                    with gr.Accordion("Настройки индекса", open=False):
                         file_index1 = gr.Dropdown(
-                            label="3. Path to your added.index file (if it didn't automatically find it.)",
+                            label="3. Путь к файлу added.index (если он не был найден автоматически).",
                             choices=get_indexes(),
                             value=get_index(),
                             interactive=True,
@@ -1571,19 +1557,19 @@ with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
                         index_rate1 = gr.Slider(
                             minimum=0,
                             maximum=1,
-                            label=i18n("检索特征占比"),
+                            label=i18n("Процентное соотношение поисковых функций (советую ставить на 0)"),
                             value=0.66,
                             interactive=True,
                             )
                     vc_output2 = gr.Audio(
-                        label="Output Audio (Click on the Three Dots in the Right Corner to Download)",
+                        label="Выходные аудиоданные (нажмите на три точки в правом углу, чтобы загрузить)",
                         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):
+                    with gr.Accordion("Дополнительные настройки", 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.",
+                            label="Необязательно: Изменить алгоритм извлечения высоты тона.\Методы извлечения отсортированы от "худшего качества" к "лучшему качеству".\mangio-crepe может быть лучше rmvpe или нет в случаях, когда "гладкость" более важна, но в целом rmvpe является лучшим.",
                             choices=["pm", "dio", "crepe-tiny", "mangio-crepe-tiny", "crepe", "harvest", "mangio-crepe", "rmvpe"], # Fork Feature. Add Crepe-Tiny
                             value="rmvpe",
                             interactive=True,
@@ -1593,16 +1579,15 @@ with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
                             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.",
+                            label="Mangio-Crepe Hop Length. Более высокие числа уменьшат вероятность экстремального изменения высоты тона, но более низкие числа увеличат точность. 64-192 - хороший диапазон для экспериментов.",
                             value=120,
-                            interactive=True,
-                            visible=False,
+                            interactive=True,,
                             )
                         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"),
+                            label=i18n("Если >=3: применить медианную фильтрацию к собранным результатам питча. Значение представляет собой радиус фильтрации и может уменьшить дыхание."),
                             value=3,
                             step=1,
                             interactive=True,
@@ -1619,470 +1604,31 @@ with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
                         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"),
+                            label=i18n("Используйте огибающую громкости входа для замены или смешивания с огибающей громкости выхода. Чем ближе это соотношение к 1, тем больше используется огибающая выходного сигнала:"),
                             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"),
+                            label=i18n("Защита безголосых согласных и звуков дыхания для предотвращения артефактов, таких как разрывы в электронной музыке. Для отключения установите значение 0,5. Уменьшите значение для усиления защиты, но это может снизить точность индексирования:"),
                             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.TabItem("Загрузить модель"):
             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:")
+                url=gr.Textbox(label="Введите URL-адрес модели:")
             with gr.Row():
-                model = gr.Textbox(label="Name your model:")
-                download_button=gr.Button("Download")
+                model = gr.Textbox(label="Назовите свою модель:")
+                download_button=gr.Button("Загрузить")
             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(
-                """
-                Made with ❤️ by [Alice Oliveira](https://github.com/aliceoq) | Hosted with ❤️ by [Mateus Elias](https://github.com/mateuseap)
-                """
                 )
-
-        def has_two_files_in_pretrained_folder():
-            pretrained_folder = "./pretrained/"
-            if not os.path.exists(pretrained_folder):
-                return False
-
-            files_in_folder = os.listdir(pretrained_folder)
-            num_files = len(files_in_folder)
-            return num_files >= 2
-
-        if has_two_files_in_pretrained_folder():    
-            print("Pretrained weights are downloaded. Training tab enabled!\n-------------------------------")       
-            with gr.TabItem("Train", visible=False):
-                with gr.Row():
-                    with gr.Column():
-                        exp_dir1 = gr.Textbox(label="Voice Name:", value="My-Voice")
-                        sr2 = gr.Radio(
-                            label=i18n("目标采样率"),
-                            choices=["40k", "48k"],
-                            value="40k",
-                            interactive=True,
-                            visible=False
-                        )
-                        if_f0_3 = gr.Radio(
-                            label=i18n("模型是否带音高指导(唱歌一定要, 语音可以不要)"),
-                            choices=[True, False],
-                            value=True,
-                            interactive=True,
-                            visible=False
-                        )
-                        version19 = gr.Radio(
-                            label="RVC version",
-                            choices=["v1", "v2"],
-                            value="v2",
-                            interactive=True,
-                            visible=False,
-                        )
-                        np7 = gr.Slider(
-                            minimum=0,
-                            maximum=config.n_cpu,
-                            step=1,
-                            label="# of CPUs for data processing (Leave as it is)",
-                            value=config.n_cpu,
-                            interactive=True,
-                            visible=True
-                        )
-                        trainset_dir4 = gr.Textbox(label="Path to your dataset (audios, not zip):", value="./dataset")
-                        easy_uploader = gr.Files(label='OR Drop your audios here. They will be uploaded in your dataset path above.',file_types=['audio'])
-                        but1 = gr.Button("1. Process The Dataset", variant="primary")
-                        info1 = gr.Textbox(label="Status (wait until it says 'end preprocess'):", value="")
-                        easy_uploader.upload(fn=upload_to_dataset, inputs=[easy_uploader, trainset_dir4], outputs=[info1])
-                        but1.click(
-                            preprocess_dataset, [trainset_dir4, exp_dir1, sr2, np7], [info1]
-                        )
-                    with gr.Column():
-                        spk_id5 = gr.Slider(
-                            minimum=0,
-                            maximum=4,
-                            step=1,
-                            label=i18n("请指定说话人id"),
-                            value=0,
-                            interactive=True,
-                            visible=False
-                        )
-                        with gr.Accordion('GPU Settings', open=False, visible=False):
-                            gpus6 = gr.Textbox(
-                                label=i18n("以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2"),
-                                value=gpus,
-                                interactive=True,
-                                visible=False
-                            )
-                            gpu_info9 = gr.Textbox(label=i18n("显卡信息"), value=gpu_info)
-                        f0method8 = gr.Radio(
-                            label=i18n(
-                                "选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢"
-                            ),
-                            choices=["harvest","crepe", "mangio-crepe", "rmvpe"], # Fork feature: Crepe on f0 extraction for training.
-                            value="rmvpe",
-                            interactive=True,
-                        )
-                        
-                        extraction_crepe_hop_length = gr.Slider(
-                            minimum=1,
-                            maximum=512,
-                            step=1,
-                            label=i18n("crepe_hop_length"),
-                            value=128,
-                            interactive=True,
-                            visible=False,
-                        )
-                        f0method8.change(fn=whethercrepeornah, inputs=[f0method8], outputs=[extraction_crepe_hop_length])
-                        but2 = gr.Button("2. Pitch Extraction", variant="primary")
-                        info2 = gr.Textbox(label="Status(Check the Colab Notebook's cell output):", value="", max_lines=8)
-                        but2.click(
-                                extract_f0_feature,
-                                [gpus6, np7, f0method8, if_f0_3, exp_dir1, version19, extraction_crepe_hop_length],
-                                [info2],
-                            )
-                    with gr.Row():      
-                        with gr.Column():
-                            total_epoch11 = gr.Slider(
-                                minimum=1,
-                                maximum=5000,
-                                step=10,
-                                label="Total # of training epochs (IF you choose a value too high, your model will sound horribly overtrained.):",
-                                value=250,
-                                interactive=True,
-                            )
-                            butstop = gr.Button(
-                                "Stop Training",
-                                variant='primary',
-                                visible=False,
-                            )
-                            but3 = gr.Button("3. Train Model", variant="primary", visible=True)
-                            
-                            but3.click(fn=stoptraining, inputs=[gr.Number(value=0, visible=False)], outputs=[but3, butstop])
-                            butstop.click(fn=stoptraining, inputs=[gr.Number(value=1, visible=False)], outputs=[butstop, but3])
-                            
-                            
-                            but4 = gr.Button("4.Train Index", variant="primary")
-                            info3 = gr.Textbox(label="Status(Check the Colab Notebook's cell output):", value="", max_lines=10)
-                            with gr.Accordion("Training Preferences (You can leave these as they are)", open=False):
-                                #gr.Markdown(value=i18n("step3: 填写训练设置, 开始训练模型和索引"))
-                                with gr.Column():
-                                    save_epoch10 = gr.Slider(
-                                        minimum=1,
-                                        maximum=200,
-                                        step=1,
-                                        label="Backup every X amount of epochs:",
-                                        value=10,
-                                        interactive=True,
-                                    )
-                                    batch_size12 = gr.Slider(
-                                        minimum=1,
-                                        maximum=40,
-                                        step=1,
-                                        label="Batch Size (LEAVE IT unless you know what you're doing!):",
-                                        value=default_batch_size,
-                                        interactive=True,
-                                    )
-                                    if_save_latest13 = gr.Checkbox(
-                                        label="Save only the latest '.ckpt' file to save disk space.",
-                                        value=True,
-                                        interactive=True,
-                                    )
-                                    if_cache_gpu17 = gr.Checkbox(
-                                        label="Cache all training sets to GPU memory. Caching small datasets (less than 10 minutes) can speed up training, but caching large datasets will consume a lot of GPU memory and may not provide much speed improvement.",
-                                        value=False,
-                                        interactive=True,
-                                    )
-                                    if_save_every_weights18 = gr.Checkbox(
-                                        label="Save a small final model to the 'weights' folder at each save point.",
-                                        value=True,
-                                        interactive=True,
-                                    )
-                            zip_model = gr.Button('5. Download Model')
-                            zipped_model = gr.Files(label='Your Model and Index file can be downloaded here:')
-                            zip_model.click(fn=zip_downloader, inputs=[exp_dir1], outputs=[zipped_model, info3])
-                with gr.Group():
-                    with gr.Accordion("Base Model Locations:", open=False, visible=False):
-                        pretrained_G14 = gr.Textbox(
-                            label=i18n("加载预训练底模G路径"),
-                            value="pretrained_v2/f0G40k.pth",
-                            interactive=True,
-                        )
-                        pretrained_D15 = gr.Textbox(
-                            label=i18n("加载预训练底模D路径"),
-                            value="pretrained_v2/f0D40k.pth",
-                            interactive=True,
-                        )
-                        gpus16 = gr.Textbox(
-                            label=i18n("以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2"),
-                            value=gpus,
-                            interactive=True,
-                        )
-                    sr2.change(
-                        change_sr2,
-                        [sr2, if_f0_3, version19],
-                        [pretrained_G14, pretrained_D15, version19],
-                    )
-                    version19.change(
-                        change_version19,
-                        [sr2, if_f0_3, version19],
-                        [pretrained_G14, pretrained_D15],
-                    )
-                    if_f0_3.change(
-                        change_f0,
-                        [if_f0_3, sr2, version19],
-                        [f0method8, pretrained_G14, pretrained_D15],
-                    )
-                    but5 = gr.Button(i18n("一键训练"), variant="primary", visible=False)
-                    but3.click(
-                        click_train,
-                        [
-                            exp_dir1,
-                            sr2,
-                            if_f0_3,
-                            spk_id5,
-                            save_epoch10,
-                            total_epoch11,
-                            batch_size12,
-                            if_save_latest13,
-                            pretrained_G14,
-                            pretrained_D15,
-                            gpus16,
-                            if_cache_gpu17,
-                            if_save_every_weights18,
-                            version19,
-                        ],
-                        [
-                            info3,
-                            butstop,
-                            but3,
-                        ],
-                    )
-                    but4.click(train_index, [exp_dir1, version19], info3)
-                    but5.click(
-                        train1key,
-                        [
-                            exp_dir1,
-                            sr2,
-                            if_f0_3,
-                            trainset_dir4,
-                            spk_id5,
-                            np7,
-                            f0method8,
-                            save_epoch10,
-                            total_epoch11,
-                            batch_size12,
-                            if_save_latest13,
-                            pretrained_G14,
-                            pretrained_D15,
-                            gpus16,
-                            if_cache_gpu17,
-                            if_save_every_weights18,
-                            version19,
-                            extraction_crepe_hop_length
-                        ],
-                        info3,
-                    )
-
-        else:
-            print(
-                "Pretrained weights not downloaded. Disabling training tab.\n"
-                "Wondering how to train a voice? Visit here for the RVC model training guide: https://t.ly/RVC_Training_Guide\n"
-                "-------------------------------\n"
-            )
                 
     app.queue(concurrency_count=511, max_size=1022).launch(share=False, quiet=True)
 #endregion