| import os | |
| import re | |
| import random | |
| from scipy.io.wavfile import write | |
| from scipy.io.wavfile import read | |
| import numpy as np | |
| import gradio as gr | |
| import yt_dlp | |
| import subprocess | |
| mdxnet_models = [ | |
| 'UVR-MDX-NET-Inst_full_292.onnx', | |
| 'UVR-MDX-NET_Inst_187_beta.onnx', | |
| 'UVR-MDX-NET_Inst_82_beta.onnx', | |
| 'UVR-MDX-NET_Inst_90_beta.onnx', | |
| 'UVR-MDX-NET_Main_340.onnx', | |
| 'UVR-MDX-NET_Main_390.onnx', | |
| 'UVR-MDX-NET_Main_406.onnx', | |
| 'UVR-MDX-NET_Main_427.onnx', | |
| 'UVR-MDX-NET_Main_438.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_1.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_2.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_3.onnx', | |
| 'UVR-MDX-NET-Inst_HQ_4.onnx', | |
| 'UVR_MDXNET_Main.onnx', | |
| 'UVR-MDX-NET-Inst_Main.onnx', | |
| 'UVR_MDXNET_1_9703.onnx', | |
| 'UVR_MDXNET_2_9682.onnx', | |
| 'UVR_MDXNET_3_9662.onnx', | |
| 'UVR-MDX-NET-Inst_1.onnx', | |
| 'UVR-MDX-NET-Inst_2.onnx', | |
| 'UVR-MDX-NET-Inst_3.onnx', | |
| 'UVR_MDXNET_KARA.onnx', | |
| 'UVR_MDXNET_KARA_2.onnx', | |
| 'UVR_MDXNET_9482.onnx', | |
| 'UVR-MDX-NET-Voc_FT.onnx', | |
| 'Kim_Vocal_1.onnx', | |
| 'Kim_Vocal_2.onnx', | |
| 'Kim_Inst.onnx', | |
| 'Reverb_HQ_By_FoxJoy.onnx', | |
| 'UVR-MDX-NET_Crowd_HQ_1.onnx', | |
| 'kuielab_a_vocals.onnx', | |
| 'kuielab_a_other.onnx', | |
| 'kuielab_a_bass.onnx', | |
| 'kuielab_a_drums.onnx', | |
| 'kuielab_b_vocals.onnx', | |
| 'kuielab_b_other.onnx', | |
| 'kuielab_b_bass.onnx', | |
| 'kuielab_b_drums.onnx', | |
| ] | |
| output_format = [ | |
| 'wav', | |
| 'flac', | |
| 'mp3', | |
| ] | |
| mdxnet_overlap_values = [ | |
| '0.25', | |
| '0.5', | |
| '0.75', | |
| '0.99', | |
| ] | |
| def download_audio(url): | |
| ydl_opts = { | |
| 'format': 'bestaudio/best', | |
| 'outtmpl': 'ytdl/%(title)s.%(ext)s', | |
| 'postprocessors': [{ | |
| 'key': 'FFmpegExtractAudio', | |
| 'preferredcodec': 'wav', | |
| 'preferredquality': '192', | |
| }], | |
| } | |
| with yt_dlp.YoutubeDL(ydl_opts) as ydl: | |
| info_dict = ydl.extract_info(url, download=True) | |
| file_path = ydl.prepare_filename(info_dict).rsplit('.', 1)[0] + '.wav' | |
| sample_rate, audio_data = read(file_path) | |
| audio_array = np.asarray(audio_data, dtype=np.int16) | |
| return sample_rate, audio_array | |
| def mdxnet_separator(mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise): | |
| files_list = [] | |
| files_list.clear() | |
| directory = "./outputs" | |
| random_id = str(random.randint(10000, 99999)) | |
| pattern = f"{random_id}" | |
| os.makedirs("outputs", exist_ok=True) | |
| write(f'{random_id}.wav', mdxnet_audio[0], mdxnet_audio[1]) | |
| prompt = f"audio-separator {random_id}.wav --model_filename {mdxnet_model} --output_dir=./outputs --output_format={mdxnet_output_format} --normalization=0.9 --mdx_segment_size={mdxnet_segment_size} --mdx_overlap={mdxnet_overlap}" | |
| if mdxnet_denoise: | |
| prompt += " --mdx_enable_denoise" | |
| os.system(prompt) | |
| for file in os.listdir(directory): | |
| if re.search(pattern, file): | |
| files_list.append(os.path.join(directory, file)) | |
| stem1_file = files_list[0] | |
| stem2_file = files_list[1] | |
| return stem1_file, stem2_file | |
| def mdxnet_batch(path_input, path_output, model, output_format, overlap, segment_size, denoise): | |
| found_files = [] | |
| logs = [] | |
| logs.clear() | |
| extensions = (".mp3", ".wav", ".flac") | |
| for audio_files in os.listdir(path_input): | |
| if audio_files.endswith(extensions): | |
| found_files.append(audio_files) | |
| total_files = len(found_files) | |
| if total_files == 0: | |
| logs.append("No valid audio files.") | |
| yield "\n".join(logs) | |
| else: | |
| logs.append(f"{total_files} audio files found") | |
| found_files.sort() | |
| for audio_files in found_files: | |
| file_path = os.path.join(path_input, audio_files) | |
| prompt = ["audio-separator", file_path, "-m", f"{model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--mdx_overlap={overlap}", f"--mdx_segment_size={segment_size}"] | |
| if denoise: | |
| prompt.append("--mdx_enable_denoise") | |
| logs.append(f"Processing file: {audio_files}") | |
| yield "\n".join(logs) | |
| subprocess.run(prompt) | |
| logs.append(f"File: {audio_files} processed!") | |
| yield "\n".join(logs) | |
| with gr.Blocks(theme="Blane187/fuchsia", title="🎵 UVR5 MDX 🎵") as app: | |
| gr.Markdown("<h1> 🎵 UVR MDX 🎵 </h1>") | |
| gr.Markdown("If you liked this HF Space you can give me a ❤️") | |
| gr.Markdown("Try UVR5 UI using Colab [here](https://colab.research.google.com/github/Eddycrack864/UVR5-UI/blob/main/UVR_UI.ipynb)") | |
| with gr.Tabs(): | |
| with gr.TabItem("MDX-NET"): | |
| with gr.Row(): | |
| mdxnet_model = gr.Dropdown( | |
| label = "Select the Model", | |
| choices = mdxnet_models, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_output_format = gr.Dropdown( | |
| label = "Select the Output Format", | |
| choices = output_format, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_segment_size = gr.Slider( | |
| minimum = 32, | |
| maximum = 4000, | |
| step = 32, | |
| label = "Segment Size", | |
| info = "Larger consumes more resources, but may give better results.", | |
| value = 256, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_overlap = gr.Dropdown( | |
| label = "Overlap", | |
| choices = mdxnet_overlap_values, | |
| value = mdxnet_overlap_values[0], | |
| interactive = True | |
| ) | |
| mdxnet_denoise = gr.Checkbox( | |
| label = "Denoise", | |
| info = "Enable denoising during separation.", | |
| value = True, | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_audio = gr.Audio( | |
| label = "Input Audio", | |
| type = "numpy", | |
| interactive = True | |
| ) | |
| with gr.Accordion("Separation by Link", open = False): | |
| with gr.Row(): | |
| mdxnet_link = gr.Textbox( | |
| label = "Link", | |
| placeholder = "Paste the link here", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)") | |
| with gr.Row(): | |
| mdxnet_download_button = gr.Button( | |
| "Download!", | |
| variant = "primary" | |
| ) | |
| mdxnet_download_button.click(download_audio, [mdxnet_link], [mdxnet_audio]) | |
| with gr.Accordion("Batch Separation", open = False): | |
| with gr.Row(): | |
| mdxnet_input_path = gr.Textbox( | |
| label = "Input Path", | |
| placeholder = "Place the input path here", | |
| interactive = True | |
| ) | |
| mdxnet_output_path = gr.Textbox( | |
| label = "Output Path", | |
| placeholder = "Place the output path here", | |
| interactive = True | |
| ) | |
| with gr.Row(): | |
| mdxnet_bath_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| mdxnet_info = gr.Textbox( | |
| label = "Output Information", | |
| interactive = False | |
| ) | |
| mdxnet_bath_button.click(mdxnet_batch, [mdxnet_input_path, mdxnet_output_path, mdxnet_model, mdxnet_output_format, mdxnet_overlap, mdxnet_segment_size, mdxnet_denoise], [mdxnet_info]) | |
| with gr.Row(): | |
| mdxnet_button = gr.Button("Separate!", variant = "primary") | |
| with gr.Row(): | |
| mdxnet_stem1 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "instrumental", | |
| type = "filepath" | |
| ) | |
| mdxnet_stem2 = gr.Audio( | |
| show_download_button = True, | |
| interactive = False, | |
| label = "vocal", | |
| type = "filepath" | |
| ) | |
| mdxnet_button.click(mdxnet_separator, [mdxnet_audio, mdxnet_model, mdxnet_output_format, mdxnet_segment_size, mdxnet_overlap, mdxnet_denoise], [mdxnet_stem1, mdxnet_stem2]) | |
| with gr.TabItem("Credits"): | |
| gr.Markdown( | |
| """ | |
| UVR5 UI created by **[Eddycrack 864](https://github.com/Eddycrack864).** Join **[AI HUB](https://discord.gg/aihub)** community. | |
| * python-audio-separator by [beveradb](https://github.com/beveradb). | |
| * Special thanks to [Ilaria](https://github.com/TheStingerX) for hosting this space and help. | |
| * Thanks to [Mikus](https://github.com/cappuch) for the help with the code. | |
| * Thanks to [Nick088](https://huggingface.co/Nick088) for the help to fix roformers. | |
| * Thanks to [yt_dlp](https://github.com/yt-dlp/yt-dlp) devs. | |
| * Separation by link source code and improvements by [Blane187](https://huggingface.co/Blane187). | |
| You can donate to the original UVR5 project here: | |
| [](https://www.buymeacoffee.com/uvr5) | |
| """ | |
| ) | |
| app.launch(share=True, debug=True) |