| import os | |
| from cachedmodels import CachedModels | |
| from function import download_from_url, tach_nhac, TTS, download_url, merge_audio | |
| import subprocess | |
| import shutil | |
| model_library = CachedModels() | |
| os.makedirs('logs', exist_ok=True) | |
| os.makedirs('audios', exist_ok=True) | |
| os.makedirs('assets/weights', exist_ok=True) | |
| os.makedirs('assets/rmvpe', exist_ok=True) | |
| os.makedirs('assets/hubert', exist_ok=True) | |
| if not os.path.exists('assets/rmvpe/rmvpe.pt'): subprocess.run(["wget", "https://huggingface.co/AnhP/Colab_RVC_Project/resolve/main/rmvpe.pt", "-O", f'assets/rmvpe/rmvpe.pt']) | |
| if not os.path.exists('assets/hubert/hubert_base.pt'): subprocess.run(["wget", "https://huggingface.co/AnhP/Colab_RVC_Project/resolve/main/hubert_base.pt", "-O", f'assets/hubert/hubert_base.pt']) | |
| if not os.path.exists('configs'): shutil.unpack_archive(f'configs.zip', "configs", 'zip') | |
| from original import * | |
| import gradio as gr | |
| with gr.Blocks(title="📱 RVC GUI", theme='NoCrypt/miku') as app: | |
| with gr.Row(): | |
| gr.HTML("<h1>🎼 RVC GUI 🎼<h1>") | |
| with gr.Row(): | |
| gr.Markdown("Lưu Ý: Tách Nhạc Tách Cực Kì Lâu Nếu Không Có GPU, Nếu Muồn Nhanh Hãy Sử Dụng Bản Google Colab") | |
| with gr.Row(): | |
| gr.Markdown("Sử Dụng Thử Bản [GoogleColab](https://colab.research.google.com/drive/18Ed5HbwcX0di6aJymX0EaUNz-xXU5uUc?hl=vi#scrollTo=DZDKirCM0F9g)") | |
| with gr.Tabs(): | |
| with gr.TabItem("Tách Nhạc"): | |
| gr.HTML("<h1> Tách Nhạc <h1>") | |
| with gr.Row(): | |
| url = gr.Textbox(label="Đường Dẫn Liên Kết Đến Âm Nhạc", value="", placeholder="https://www.youtube.com/...", scale=6) | |
| download_button = gr.Button("Bấm Để Tải") | |
| with gr.Row(): | |
| gr.Markdown("""Backup Vocal Khi Tách Ra Chắc Chắn Sẽ Bị Nhiễu, Mọi Người Chú Ý""") | |
| with gr.Row(): | |
| with gr.Column(): | |
| overlap = gr.Radio(label="Overlap", choices=["0.25", "0.5", "0.75", "0.99"], value="0.25", interactive=True) | |
| segmentsize = gr.Slider(label="Segment Size", minimum=32, maximum=4000, value=256, step=8, interactive=True) | |
| with gr.Column(): | |
| format = gr.Radio(label="Định Dạng", choices=["mp3", "wav", "flac"], value="mp3", interactive=True) | |
| Denoise = gr.Radio(label="Denoise", choices=[True, False], value=True, interactive=True) | |
| tachnhac_button = gr.Button("Tách Nhạc", variant="primary") | |
| with gr.Row(): | |
| audio_in = gr.File(label="Thả Âm Thanh Vào Đây", file_types=['audio']) | |
| tachnhac_input = gr.Dropdown(value="", allow_custom_value=True, visible=False) | |
| with gr.Row(): | |
| Inp = gr.Audio(label="Đầu Vào Âm Thanh") | |
| with gr.Row(): | |
| gr.Markdown("""Các File Được Tách""") | |
| with gr.Row(): | |
| Instru = gr.Audio(show_download_button = True, label="Instruments") | |
| Original = gr.Audio(show_download_button = True, label="Original Vocals") | |
| Backup = gr.Audio(show_download_button = True, label="Backup Vocals") | |
| Main = gr.Audio(show_download_button = True, label="Main Vocals") | |
| with gr.Row(): | |
| download_button.click( | |
| fn=download_url, | |
| inputs=[url], | |
| outputs=[tachnhac_input, url], | |
| api_name='download_audio' | |
| ) | |
| tachnhac_input.change( | |
| fn=lambda path: {"value":path,"__type__":"update"} if os.path.exists(path) else None, | |
| inputs=[tachnhac_input], | |
| outputs=[Inp], | |
| api_name='input_change' | |
| ) | |
| audio_in.upload( | |
| fn=lambda audio_in:audio_in.name, | |
| inputs=[audio_in], | |
| outputs=[tachnhac_input], | |
| api_name='audio_upload' | |
| ) | |
| tachnhac_button.click( | |
| tach_nhac, | |
| [tachnhac_input, format, segmentsize, overlap, Denoise], | |
| [Instru, Original, Backup, Main], | |
| api_name='tach_nhac' | |
| ) | |
| with gr.TabItem("Convert"): | |
| gr.HTML("<h1> Convert Âm Thanh <h1>") | |
| with gr.Row(): | |
| voice_model = gr.Dropdown(label="Model", choices=sorted(names), value=lambda:sorted(names)[0] if len(sorted(names)) > 0 else '', interactive=True, allow_custom_value=True) | |
| refresh_button = gr.Button("Tải Lại", variant="primary") | |
| vc_transform0 = gr.Slider(minimum=-20, maximum=20, step=1, label="Cao Độ(pitch)", value=0, interactive=True) | |
| but0 = gr.Button(value="Convert", variant="primary") | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| dropbox = gr.File(label="Thả Âm Thanh Vào Đây", file_types=['audio']) | |
| with gr.Row(): | |
| paths_for_files = lambda path:[os.path.abspath(os.path.join(path, f)) for f in os.listdir(path) if os.path.splitext(f)[1].lower() in ('.mp3', '.wav', '.flac', '.ogg')] | |
| input_audio0 = gr.Dropdown(label="Đường Dẫn Âm Thanh", value=paths_for_files('audios')[0] if len(paths_for_files('audios')) > 0 else '', choices=paths_for_files('audios'), allow_custom_value=True) | |
| with gr.Row(): | |
| audio_player = gr.Audio() | |
| input_audio0.change( | |
| fn=lambda path: {"value":path,"__type__":"update"} if os.path.exists(path) else None, | |
| inputs=[input_audio0], | |
| outputs=[audio_player], | |
| api_name='input0_change' | |
| ) | |
| dropbox.upload( | |
| fn=lambda audio:audio.name, | |
| inputs=[dropbox], | |
| outputs=[input_audio0], | |
| api_name='audi0_upload' | |
| ) | |
| with gr.Column(): | |
| with gr.Accordion("Thay Đổi Index", open=False): | |
| file_index2 = gr.Dropdown(label="Thay Đổi Index", choices=sorted(index_paths), interactive=True, value=sorted(index_paths)[0] if len(sorted(index_paths)) > 0 else '', allow_custom_value=True) | |
| index_rate1 = gr.Slider(minimum=0, maximum=1, label="Index Strength", step=0.1, value=0.5, interactive=True) | |
| with gr.Accordion("Cài Đặt", open=False): | |
| f0method0 = gr.Radio(label="Phương Pháp", choices=["pm", "harvest", "rmvpe"], value="pm", interactive=True) | |
| filter_radius0 = gr.Slider(minimum=0, maximum=7, label="Giảm Hơi Thở(Chỉ Harvest)", value=3, step=1, interactive=True) | |
| resample_sr0 = gr.Slider(minimum=0, maximum=48000, label="Lấy Mẫu Lại", value=0, step=1, interactive=True, visible=False) | |
| rms_mix_rate0 = gr.Slider(minimum=0, maximum=1, label="Chuẩn Hóa Âm Lượng", value=0, interactive=True) | |
| protect0 = gr.Slider(minimum=0, maximum=0.5, label="Bảo Vệ Hơi Thở (0 Là Bật, 0.5 Là Tắt)", value=0.33, step=0.01, interactive=True) | |
| if voice_model != None: vc.get_vc(voice_model.value, protect0, protect0) | |
| vc_output2 = gr.Audio(label="Đầu Ra Âm Thanh") | |
| refresh_button.click( | |
| fn=change_choices, | |
| inputs=[], | |
| outputs=[voice_model, file_index2], | |
| api_name='change_choices' | |
| ) | |
| refresh_button.click( | |
| fn=lambda:{"choices":paths_for_files('audios'),"__type__":"update"}, | |
| inputs=[], | |
| outputs = [input_audio0], | |
| api_name='refesh_button' | |
| ) | |
| refresh_button.click( | |
| fn=lambda:{"value":paths_for_files('audios')[0],"__type__":"update"} if len(paths_for_files('audios')) > 0 else {"value":"","__type__":"update"}, | |
| inputs=[], | |
| outputs = [input_audio0], | |
| api_name='refresh_button_1' | |
| ) | |
| with gr.Row(): | |
| file_index1 = gr.Textbox(visible=False) | |
| spk_item = gr.Slider(value=0, visible=False) | |
| f0_file = gr.File(visible=False) | |
| with gr.Row(): | |
| vc_output1 = gr.Textbox(visible=False) | |
| 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='convert_audio' | |
| ) | |
| voice_model.change( | |
| fn=vc.get_vc, | |
| inputs=[voice_model, protect0, protect0], | |
| outputs=[spk_item, protect0, protect0, file_index2, file_index2], | |
| api_name='get_vc' | |
| ) | |
| with gr.TabItem("Text To Speech"): | |
| gr.HTML("<h1> Chuyển Đổi Văn Bản Thành Giọng Nói <h1>") | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt = gr.Textbox(label="Prompt", value="",placeholder="Xin Chào Thế Giới", scale=10) | |
| with gr.Row(): | |
| with gr.Column(): | |
| Voice = gr.Radio(label="Giọng", choices=["vi-VN-NamMinhNeural", "vi-VN-HoaiMyNeural"], value="vi-VN-NamMinhNeural", interactive=True) | |
| speed = gr.Slider(minimum=-100, maximum=100, label="Tốc Độ Đọc", value=0, step=1, interactive=True) | |
| tts_button = gr.Button("Text To Speech") | |
| with gr.Row(): | |
| voice_model1 = gr.Dropdown(label="Model", choices=sorted(names), value=lambda:sorted(names)[0] if len(sorted(names)) > 0 else '', interactive=True, allow_custom_value=True) | |
| refresh_button1 = gr.Button("Tải Lại", variant="primary") | |
| vc_transform1 = gr.Slider(minimum=-20, maximum=20, step=1, label="Cao Độ(pitch)", value=0, interactive=True) | |
| infer_butt = gr.Button(value="Convert", variant="primary") | |
| with gr.Row(): | |
| input_audio1 = gr.Dropdown(value='', choices='', allow_custom_value=True, visible=False) | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| protect1 = gr.Slider(minimum=0, maximum=0.5, label="Bảo Vệ Hơi Thở (0 Là Bật, 0.5 Là Tắt)", value=0.33, step=0.01, interactive=True) | |
| f0method1 = gr.Radio(label="Phương Pháp", choices=["pm", "harvest", "rmvpe"], value='pm', interactive=True) | |
| with gr.Accordion("Thay Đổi Index", open=True): | |
| file_index3 = gr.Dropdown(label="Thay Đổi Index", choices=sorted(index_paths), interactive=True, value=sorted(index_paths)[0] if len(sorted(index_paths)) > 0 else '', allow_custom_value=True) | |
| index_rate2 = gr.Slider(minimum=0, maximum=1, label="Index Strength", value=0.5, interactive=True) | |
| with gr.Column(): | |
| audio_player = gr.Audio(label="Đầu Vào Âm Thanh") | |
| vc_output4 = gr.Audio(label="Đầu Ra Âm Thanh") | |
| tts_button.click( | |
| fn=TTS, | |
| inputs=[prompt, Voice, speed], | |
| outputs=[input_audio1, audio_player, prompt], | |
| api_name='text_to_speech' | |
| ) | |
| filter_radius0 = gr.Slider(value=3, visible=False) | |
| resample_sr0 = gr.Slider(value=0, visible=False) | |
| rms_mix_rate0 = gr.Slider(value=0, visible=False) | |
| refresh_button1.click( | |
| fn=change_choices, | |
| inputs=[], | |
| outputs=[voice_model1, file_index3], | |
| api_name='refresh_button_2' | |
| ) | |
| with gr.Row(): | |
| if voice_model1 != None: vc.get_vc(voice_model1.value, protect1, protect1) | |
| with gr.Row(): | |
| spk_item1 = gr.Slider(value=0, visible=False) | |
| f0_file = gr.File(visible=False) | |
| with gr.Row(): | |
| file_index4 = gr.Textbox(visible=False) | |
| vc_output3 = gr.Textbox(visible=False) | |
| infer_butt.click( | |
| vc.vc_single, | |
| [ | |
| spk_item1, | |
| input_audio1, | |
| vc_transform1, | |
| f0_file, | |
| f0method1, | |
| file_index4, | |
| file_index3, | |
| index_rate2, | |
| filter_radius0, | |
| resample_sr0, | |
| rms_mix_rate0, | |
| protect1, | |
| ], | |
| [vc_output3, vc_output4], | |
| api_name='convert_tts' | |
| ) | |
| voice_model1.change( | |
| fn=vc.get_vc, | |
| inputs=[voice_model1, protect1, protect1], | |
| outputs=[spk_item1, protect1, protect1, file_index3, file_index3], | |
| api_name='get_vc_1' | |
| ) | |
| with gr.TabItem("Kết Hợp"): | |
| gr.HTML("<h1> Kết Hợp Nhạc <h1>") | |
| with gr.Row(): | |
| file1 = gr.File(label="Âm Thanh 1", file_types=['audio']) | |
| file2 = gr.File(label="Âm Thanh 2", file_types=['audio']) | |
| file3 = gr.File(label="Âm Thanh 3", file_types=['audio']) | |
| file4 = gr.File(label="Âm Thanh 4", file_types=['audio']) | |
| with gr.Row(): | |
| format = gr.Radio(label="Phương Pháp", choices=["wav", "mp3"], value="wav", interactive=True) | |
| button = gr.Button("Kết Hợp", variant="primary") | |
| with gr.Row(): | |
| output = gr.Audio(label="Đoạn Âm Thanh Đã Kết Hợp") | |
| with gr.Row(): | |
| button.click( | |
| fn=merge_audio, | |
| inputs=[file1, file2, file3, file4, format], | |
| outputs=[output], | |
| api_name='merge_audio' | |
| ) | |
| with gr.TabItem("Tải Xuống Model"): | |
| gr.HTML("<h1> Tải Xuống Model <h1>") | |
| with gr.Row(): | |
| url_input = gr.Textbox(label="Đường Dẫn Model", value="",placeholder="https://...", scale=6) | |
| name_output = gr.Textbox(label="Tên Để Lưu", value="",placeholder="Tên Model",scale=2) | |
| url_download = gr.Button(value="Tải Xuống Model",scale=2) | |
| url_download.click( | |
| fn=download_from_url, | |
| inputs=[url_input,name_output], | |
| outputs=[url_input], | |
| api_name='download_model' | |
| ) | |
| with gr.Row(): | |
| model_browser = gr.Dropdown(choices=list(model_library.models.keys()),label="Hoặc Tìm Từ Kho Model(Model Chưa Được Kiểm Chứng Chất Lượng)",scale=5,allow_custom_value=True) | |
| download_from_browser = gr.Button(value="Nhận Model", scale=2, variant="primary") | |
| download_from_browser.click( | |
| fn=lambda model: download_from_url(model_library.models[model],model), | |
| inputs=[model_browser], | |
| outputs=[model_browser], | |
| api_name='download_model_library' | |
| ) | |
| with gr.TabItem("Credits"): | |
| gr.HTML("<h1>Credits<h1>") | |
| with gr.Row(): | |
| gr.Markdown(""" | |
| **Dựa Trên [RVC-Project](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?tab=readme-ov-file) Của Tác Giả [RVC BOSS](https://github.com/RVC-Boss).** | |
| **Spaces Được Làm Lại Bởi P.Anh, Nếu Có Vấn Đề Gì Về Bản Quyền Xin Hãy Liên Hệ Với Tôi Để Tìm Cách Xử Lý Qua Id Discord Này: 923385115629985823, Xin Cảm Ơn.** | |
| """) | |
| gr.Markdown(""" | |
| **Based on [RVC-Project](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?tab=readme-ov-file) By Author [RVC BOSS](https://github.com/RVC-Boss).** | |
| **The Spaces is Remade by P.Anh, If There Are Any Problems About Copyright, Please Contact Me To Find A Solution Through This Discord Id: 923385115629985823, Thank You.** | |
| """) | |
| app.queue().launch(share=True) |