Hugging Face's logo

Spaces:
next-playground
/
UVR-API
Sleeping

App Files Community
UVR-API
File size: 6,557 Bytes 
2f39f34
f5cfb96
2f39f34
f5cfb96
 
 
 
 
 
 
 
2f39f34
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f5cfb96
2f39f34
 
 
 
f5cfb96
 
 
 
 
 
 
2f39f34
f5cfb96
 
 
 
 
 
2f39f34
f5cfb96
 
 
 
 
 
 
 
2f39f34
f5cfb96
2f39f34
f5cfb96
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
 
import gradio as gr
from audio_separator.separator import Separator

separator = Separator()

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',
]

def roformer_separator(audio, checkpoint_name):
    full_checkpoint_name = roformer_models[checkpoint_name]
    separator.load_model(full_checkpoint_name)
    output_files = separator.separate(audio)
    stem1 = output_files[0]
    stem2 = output_files[1]
    return stem1, stem2

def mdx_vr_separator(audio, checkpoint_name):
    separator.load_model(checkpoint_name)
    output_files = separator.separate(audio)
    stem1 = output_files[0]
    stem2 = output_files[1]
    return stem1, stem2

def demucs_separator(audio, checkpoint_name):
    separator.load_model(checkpoint_name)
    output_files = separator.separate(audio)
    stem1 = output_files[0]
    stem2 = output_files[1]
    stem3 = output_files[2]
    stem4 = output_files[3]
    return stem1, stem2, stem3, stem4

with gr.Blocks(title="🎵 UVR5 UI 🎵") as demo:
    gr.Markdown("<h1> 🎵 UVR5 UI 🎵 </h1>")
    with gr.Tab("Vocal Separator (UVR)"):
        gr.Markdown("Separate vocals and instruments from an audio file using UVR models.")
        with gr.Tab("Mel/BS Roformer"):
            roformer_audio_file = gr.Audio(label="Audio File", type="filepath")
            with gr.Row():
                roformer_model = gr.Dropdown(label="Model", choices=list(roformer_models.keys()))
                roformer_button = gr.Button("Separate", variant="primary")
            roformer_stem1 = gr.Audio(type="filepath", label="Stem 1")
            roformer_stem2 = gr.Audio(type="filepath", label="Stem 2")

            roformer_button.click(roformer_separator, [roformer_audio_file, roformer_model], [roformer_stem1, roformer_stem2])
        with gr.Tab("MDX23C"):
            mdx23c_audio_file = gr.Audio(label="Audio File", type="filepath")
            with gr.Row():
                mdx23c_model = gr.Dropdown(label="Model", choices=mdx23c_models)
                mdx23c_button = gr.Button("Separate", variant="primary")
            mdx23c_stem1 = gr.Audio(type="filepath", label="Stem 1")
            mdx23c_stem2 = gr.Audio(type="filepath", label="Stem 2")

            mdx23c_button.click(mdx_vr_separator, [mdx23c_audio_file, mdx23c_model], [mdx23c_stem1, mdx23c_stem2])
        with gr.Tab("MDX-NET"):
            mdxnet_audio_file = gr.Audio(label="Audio File", type="filepath")
            with gr.Row():
                mdxnet_model = gr.Dropdown(label="Model", choices=mdxnet_models)
                mdxnet_button = gr.Button("Separate", variant="primary")
            mdxnet_stem1 = gr.Audio(type="filepath", label="Stem 1")
            mdxnet_stem2 = gr.Audio(type="filepath", label="Stem 2")

            mdxnet_button.click(mdx_vr_separator, [mdxnet_audio_file, mdxnet_model], [mdxnet_stem1, mdxnet_stem2])
        with gr.Tab("VR-ARCH"):
            vr_audio_file = gr.Audio(label="Audio File", type="filepath")
            with gr.Row():
                vr_model = gr.Dropdown(label="Model", choices=vrarch_models)
                vr_button = gr.Button("Separate", variant="primary")
            vr_stem1 = gr.Audio(type="filepath", label="Stem 1")
            vr_stem2 = gr.Audio(type="filepath", label="Stem 2")

            vr_button.click(mdx_vr_separator, [vr_audio_file, vr_model], [vr_stem1, vr_stem2])
        with gr.Tab("Demucs"):
            demucs_audio_file = gr.Audio(label="Audio File", type="filepath")
            with gr.Row():
                demucs_model = gr.Dropdown(label="Model", choices=demucs_models)
                demucs_button = gr.Button("Separate", variant="primary")
            demucs_stem1 = gr.Audio(type="filepath", label="Stem 1")
            demucs_stem2 = gr.Audio(type="filepath", label="Stem 2")
            demucs_stem3 = gr.Audio(type="filepath", label="Stem 3")
            demucs_stem4 = gr.Audio(type="filepath", label="Stem 4")

            demucs_button.click(demucs_separator, [demucs_audio_file, demucs_model], [demucs_stem1, demucs_stem2, demucs_stem3, demucs_stem4])

demo.launch()