| 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 |
|
|
| roformer_models = { |
| 'BS-Roformer-Viperx-1297.ckpt': 'model_bs_roformer_ep_317_sdr_12.9755.ckpt', |
| 'BS-Roformer-Viperx-1296.ckpt': 'model_bs_roformer_ep_368_sdr_12.9628.ckpt', |
| 'BS-Roformer-Viperx-1053.ckpt': 'model_bs_roformer_ep_937_sdr_10.5309.ckpt', |
| 'Mel-Roformer-Viperx-1143.ckpt': 'model_mel_band_roformer_ep_3005_sdr_11.4360.ckpt' |
| } |
|
|
| mdx23c_models = [ |
| 'MDX23C_D1581.ckpt', |
| 'MDX23C-8KFFT-InstVoc_HQ.ckpt', |
| 'MDX23C-8KFFT-InstVoc_HQ_2.ckpt', |
| ] |
|
|
| 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', |
| ] |
|
|
| vrarch_models = [ |
| '1_HP-UVR.pth', |
| '2_HP-UVR.pth', |
| '3_HP-Vocal-UVR.pth', |
| '4_HP-Vocal-UVR.pth', |
| '5_HP-Karaoke-UVR.pth', |
| '6_HP-Karaoke-UVR.pth', |
| '7_HP2-UVR.pth', |
| '8_HP2-UVR.pth', |
| '9_HP2-UVR.pth', |
| '10_SP-UVR-2B-32000-1.pth', |
| '11_SP-UVR-2B-32000-2.pth', |
| '12_SP-UVR-3B-44100.pth', |
| '13_SP-UVR-4B-44100-1.pth', |
| '14_SP-UVR-4B-44100-2.pth', |
| '15_SP-UVR-MID-44100-1.pth', |
| '16_SP-UVR-MID-44100-2.pth', |
| '17_HP-Wind_Inst-UVR.pth', |
| 'UVR-De-Echo-Aggressive.pth', |
| 'UVR-De-Echo-Normal.pth', |
| 'UVR-DeEcho-DeReverb.pth', |
| 'UVR-DeNoise-Lite.pth', |
| 'UVR-DeNoise.pth', |
| 'UVR-BVE-4B_SN-44100-1.pth', |
| 'MGM_HIGHEND_v4.pth', |
| 'MGM_LOWEND_A_v4.pth', |
| 'MGM_LOWEND_B_v4.pth', |
| 'MGM_MAIN_v4.pth', |
| ] |
|
|
| demucs_models = [ |
| 'htdemucs_ft.yaml', |
| 'htdemucs.yaml', |
| 'hdemucs_mmi.yaml', |
| ] |
|
|
| output_format = [ |
| 'wav', |
| 'flac', |
| 'mp3', |
| ] |
|
|
| mdxnet_overlap_values = [ |
| '0.25', |
| '0.5', |
| '0.75', |
| '0.99', |
| ] |
|
|
| vrarch_window_size_values = [ |
| '320', |
| '512', |
| '1024', |
| ] |
|
|
| demucs_overlap_values = [ |
| '0.25', |
| '0.50', |
| '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 roformer_separator(roformer_audio, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size): |
| 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', roformer_audio[0], roformer_audio[1]) |
| full_roformer_model = roformer_models[roformer_model] |
| prompt = f"audio-separator {random_id}.wav --model_filename {full_roformer_model} --output_dir=./outputs --output_format={roformer_output_format} --normalization=0.9 --mdxc_overlap={roformer_overlap} --mdxc_segment_size={roformer_segment_size}" |
| 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 mdxc_separator(mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap, mdx23c_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', mdx23c_audio[0], mdx23c_audio[1]) |
| prompt = f"audio-separator {random_id}.wav --model_filename {mdx23c_model} --output_dir=./outputs --output_format={mdx23c_output_format} --normalization=0.9 --mdxc_segment_size={mdx23c_segment_size} --mdxc_overlap={mdx23c_overlap}" |
| |
| if mdx23c_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_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 vrarch_separator(vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process): |
| 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', vrarch_audio[0], vrarch_audio[1]) |
| prompt = f"audio-separator {random_id}.wav --model_filename {vrarch_model} --output_dir=./outputs --output_format={vrarch_output_format} --normalization=0.9 --vr_window_size={vrarch_window_size} --vr_aggression={vrarch_agression}" |
| |
| if vrarch_tta: |
| prompt += " --vr_enable_tta" |
| if vrarch_high_end_process: |
| prompt += " --vr_high_end_process" |
|
|
| 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 demucs_separator(demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap): |
| 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', demucs_audio[0], demucs_audio[1]) |
| prompt = f"audio-separator {random_id}.wav --model_filename {demucs_model} --output_dir=./outputs --output_format={demucs_output_format} --normalization=0.9 --demucs_shifts={demucs_shifts} --demucs_overlap={demucs_overlap}" |
|
|
| 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] |
| stem3_file = files_list[2] |
| stem4_file = files_list[3] |
|
|
| return stem1_file, stem2_file, stem3_file, stem4_file |
|
|
| def roformer_batch(path_input, path_output, model, output_format, overlap, segment_size): |
| found_files = [] |
| logs = [] |
| logs.clear() |
|
|
| extensions = (".mp3", ".wav", ".flac") |
|
|
| full_roformer_model = roformer_models[model] |
|
|
| 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"{full_roformer_model}", f"--output_dir={path_output}", f"--output_format={output_format}", "--normalization=0.9", f"--mdxc_overlap={overlap}", f"--mdxc_segment_size={segment_size}"] |
| 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) |
|
|
| def mdx23c_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"--mdxc_overlap={overlap}", f"--mdxc_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) |
|
|
| 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) |
|
|
| def vrarch_batch(path_input, path_output, model, output_format, window_size, agression, tta, high_end_process): |
| 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"--vr_window_size={window_size}", f"--vr_aggression={agression}"] |
|
|
| if tta: |
| prompt.append("--vr_enable_tta") |
| if high_end_process: |
| prompt.append("--vr_high_end_process") |
|
|
| 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) |
|
|
| def demucs_batch(path_input, path_output, model, output_format, shifts, overlap): |
| 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"--demucs_shifts={shifts}", f"--demucs_overlap={overlap}"] |
|
|
| 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="NoCrypt/miku@1.2.2", title="🎵 UVR5 UI 🎵") as app: |
| gr.Markdown("<h1> 🎵 UVR5 UI 🎵 </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("BS/Mel Roformer"): |
| with gr.Row(): |
| roformer_model = gr.Dropdown( |
| label = "Select the Model", |
| choices=list(roformer_models.keys()), |
| interactive = True |
| ) |
| roformer_output_format = gr.Dropdown( |
| label = "Select the Output Format", |
| choices = output_format, |
| interactive = True |
| ) |
| with gr.Row(): |
| roformer_overlap = gr.Slider( |
| minimum = 2, |
| maximum = 4, |
| step = 1, |
| label = "Overlap", |
| info = "Amount of overlap between prediction windows.", |
| value = 4, |
| interactive = True |
| ) |
| roformer_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(): |
| roformer_audio = gr.Audio( |
| label = "Input Audio", |
| type = "numpy", |
| interactive = True |
| ) |
| with gr.Accordion("Separation by Link", open = False): |
| with gr.Row(): |
| roformer_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(): |
| roformer_download_button = gr.Button( |
| "Download!", |
| variant = "primary" |
| ) |
|
|
| roformer_download_button.click(download_audio, [roformer_link], [roformer_audio]) |
|
|
| with gr.Accordion("Batch Separation", open = False): |
| with gr.Row(): |
| roformer_input_path = gr.Textbox( |
| label = "Input Path", |
| placeholder = "Place the input path here", |
| interactive = True |
| ) |
| roformer_output_path = gr.Textbox( |
| label = "Output Path", |
| placeholder = "Place the output path here", |
| interactive = True |
| ) |
| with gr.Row(): |
| roformer_bath_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| roformer_info = gr.Textbox( |
| label = "Output Information", |
| interactive = False |
| ) |
|
|
| roformer_bath_button.click(roformer_batch, [roformer_input_path, roformer_output_path, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size], [roformer_info]) |
|
|
| with gr.Row(): |
| roformer_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| roformer_stem1 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| label = "Stem 1", |
| type = "filepath" |
| ) |
| roformer_stem2 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| label = "Stem 2", |
| type = "filepath" |
| ) |
|
|
| roformer_button.click(roformer_separator, [roformer_audio, roformer_model, roformer_output_format, roformer_overlap, roformer_segment_size], [roformer_stem1, roformer_stem2]) |
| |
| with gr.TabItem("MDX23C"): |
| with gr.Row(): |
| mdx23c_model = gr.Dropdown( |
| label = "Select the Model", |
| choices = mdx23c_models, |
| interactive = True |
| ) |
| mdx23c_output_format = gr.Dropdown( |
| label = "Select the Output Format", |
| choices = output_format, |
| interactive = True |
| ) |
| with gr.Row(): |
| mdx23c_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 |
| ) |
| mdx23c_overlap = gr.Slider( |
| minimum = 2, |
| maximum = 50, |
| step = 1, |
| label = "Overlap", |
| info = "Amount of overlap between prediction windows.", |
| value = 8, |
| interactive = True |
| ) |
| mdx23c_denoise = gr.Checkbox( |
| label = "Denoise", |
| info = "Enable denoising during separation.", |
| value = False, |
| interactive = True |
| ) |
| with gr.Row(): |
| mdx23c_audio = gr.Audio( |
| label = "Input Audio", |
| type = "numpy", |
| interactive = True |
| ) |
| with gr.Accordion("Separation by Link", open = False): |
| with gr.Row(): |
| mdx23c_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(): |
| mdx23c_download_button = gr.Button( |
| "Download!", |
| variant = "primary" |
| ) |
|
|
| mdx23c_download_button.click(download_audio, [mdx23c_link], [mdx23c_audio]) |
|
|
| with gr.Accordion("Batch Separation", open = False): |
| with gr.Row(): |
| mdx23c_input_path = gr.Textbox( |
| label = "Input Path", |
| placeholder = "Place the input path here", |
| interactive = True |
| ) |
| mdx23c_output_path = gr.Textbox( |
| label = "Output Path", |
| placeholder = "Place the output path here", |
| interactive = True |
| ) |
| with gr.Row(): |
| mdx23c_bath_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| mdx23c_info = gr.Textbox( |
| label = "Output Information", |
| interactive = False |
| ) |
|
|
| mdx23c_bath_button.click(mdx23c_batch, [mdx23c_input_path, mdx23c_output_path, mdx23c_model, mdx23c_output_format, mdx23c_overlap, mdx23c_segment_size, mdx23c_denoise], [mdx23c_info]) |
|
|
| with gr.Row(): |
| mdx23c_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| mdx23c_stem1 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| label = "Stem 1", |
| type = "filepath" |
| ) |
| mdx23c_stem2 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| label = "Stem 2", |
| type = "filepath" |
| ) |
|
|
| mdx23c_button.click(mdxc_separator, [mdx23c_audio, mdx23c_model, mdx23c_output_format, mdx23c_segment_size, mdx23c_overlap, mdx23c_denoise], [mdx23c_stem1, mdx23c_stem2]) |
| |
| with gr.TabItem("MDX-NET"): |
| with gr.Row(): |
| mdxnet_model = gr.Dropdown( |
| label = "Select the Model", |
| choices = mdxnet_models, |
| interactive = True |
| ) |
| 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 |
| ) |
| 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 = "Stem 1", |
| type = "filepath" |
| ) |
| mdxnet_stem2 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| label = "Stem 2", |
| 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("VR ARCH"): |
| with gr.Row(): |
| vrarch_model = gr.Dropdown( |
| label = "Select the Model", |
| choices = vrarch_models, |
| interactive = True |
| ) |
| vrarch_output_format = gr.Dropdown( |
| label = "Select the Output Format", |
| choices = output_format, |
| interactive = True |
| ) |
| with gr.Row(): |
| vrarch_window_size = gr.Dropdown( |
| label = "Window Size", |
| choices = vrarch_window_size_values, |
| value = vrarch_window_size_values[0], |
| interactive = True |
| ) |
| vrarch_agression = gr.Slider( |
| minimum = 1, |
| maximum = 50, |
| step = 1, |
| label = "Agression", |
| info = "Intensity of primary stem extraction.", |
| value = 5, |
| interactive = True |
| ) |
| vrarch_tta = gr.Checkbox( |
| label = "TTA", |
| info = "Enable Test-Time-Augmentation; slow but improves quality.", |
| value = True, |
| visible = True, |
| interactive = True, |
| ) |
| vrarch_high_end_process = gr.Checkbox( |
| label = "High End Process", |
| info = "Mirror the missing frequency range of the output.", |
| value = False, |
| visible = True, |
| interactive = True, |
| ) |
| with gr.Row(): |
| vrarch_audio = gr.Audio( |
| label = "Input Audio", |
| type = "numpy", |
| interactive = True |
| ) |
| with gr.Accordion("Separation by Link", open = False): |
| with gr.Row(): |
| vrarch_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(): |
| vrarch_download_button = gr.Button( |
| "Download!", |
| variant = "primary" |
| ) |
|
|
| vrarch_download_button.click(download_audio, [vrarch_link], [vrarch_audio]) |
|
|
| with gr.Accordion("Batch Separation", open = False): |
| with gr.Row(): |
| vrarch_input_path = gr.Textbox( |
| label = "Input Path", |
| placeholder = "Place the input path here", |
| interactive = True |
| ) |
| vrarch_output_path = gr.Textbox( |
| label = "Output Path", |
| placeholder = "Place the output path here", |
| interactive = True |
| ) |
| with gr.Row(): |
| vrarch_bath_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| vrarch_info = gr.Textbox( |
| label = "Output Information", |
| interactive = False |
| ) |
|
|
| vrarch_bath_button.click(vrarch_batch, [vrarch_input_path, vrarch_output_path, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process], [vrarch_info]) |
|
|
| with gr.Row(): |
| vrarch_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| vrarch_stem1 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 1" |
| ) |
| vrarch_stem2 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 2" |
| ) |
|
|
| vrarch_button.click(vrarch_separator, [vrarch_audio, vrarch_model, vrarch_output_format, vrarch_window_size, vrarch_agression, vrarch_tta, vrarch_high_end_process], [vrarch_stem1, vrarch_stem2]) |
|
|
| with gr.TabItem("Demucs"): |
| with gr.Row(): |
| demucs_model = gr.Dropdown( |
| label = "Select the Model", |
| choices = demucs_models, |
| interactive = True |
| ) |
| demucs_output_format = gr.Dropdown( |
| label = "Select the Output Format", |
| choices = output_format, |
| interactive = True |
| ) |
| with gr.Row(): |
| demucs_shifts = gr.Slider( |
| minimum = 1, |
| maximum = 20, |
| step = 1, |
| label = "Shifts", |
| info = "Number of predictions with random shifts, higher = slower but better quality.", |
| value = 2, |
| interactive = True |
| ) |
| demucs_overlap = gr.Dropdown( |
| label = "Overlap", |
| choices = demucs_overlap_values, |
| value = demucs_overlap_values[0], |
| interactive = True |
| ) |
| with gr.Row(): |
| demucs_audio = gr.Audio( |
| label = "Input Audio", |
| type = "numpy", |
| interactive = True |
| ) |
| with gr.Accordion("Separation by Link", open = False): |
| with gr.Row(): |
| demucs_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(): |
| demucs_download_button = gr.Button( |
| "Download!", |
| variant = "primary" |
| ) |
|
|
| demucs_download_button.click(download_audio, [demucs_link], [demucs_audio]) |
|
|
| with gr.Accordion("Batch Separation", open = False): |
| with gr.Row(): |
| demucs_input_path = gr.Textbox( |
| label = "Input Path", |
| placeholder = "Place the input path here", |
| interactive = True |
| ) |
| demucs_output_path = gr.Textbox( |
| label = "Output Path", |
| placeholder = "Place the output path here", |
| interactive = True |
| ) |
| with gr.Row(): |
| demucs_bath_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| demucs_info = gr.Textbox( |
| label = "Output Information", |
| interactive = False |
| ) |
|
|
| demucs_bath_button.click(demucs_batch, [demucs_input_path, demucs_output_path, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap], [demucs_info]) |
|
|
| with gr.Row(): |
| demucs_button = gr.Button("Separate!", variant = "primary") |
| with gr.Row(): |
| demucs_stem1 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 1" |
| ) |
| demucs_stem2 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 2" |
| ) |
| with gr.Row(): |
| demucs_stem3 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 3" |
| ) |
| demucs_stem4 = gr.Audio( |
| show_download_button = True, |
| interactive = False, |
| type = "filepath", |
| label = "Stem 4" |
| ) |
| |
| demucs_button.click(demucs_separator, [demucs_audio, demucs_model, demucs_output_format, demucs_shifts, demucs_overlap], [demucs_stem1, demucs_stem2, demucs_stem3, demucs_stem4]) |
|
|
| 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.queue() |
| app.launch() |
