File size: 9,490 Bytes
745a860 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 |
from original import *
import shutil, glob
from easyfuncs import download_from_url, CachedModels
os.makedirs("dataset",exist_ok=True)
model_library = CachedModels()
with gr.Blocks(title="🔊",theme=gr.themes.Base(primary_hue="rose",neutral_hue="zinc")) as app:
with gr.Row():
gr.HTML("<img src='file/a.png' alt='image'>")
with gr.Tabs():
with gr.TabItem("Inference"):
with gr.Row():
voice_model = gr.Dropdown(label="Model Voice", choices=sorted(names), value=lambda:sorted(names)[0] if len(sorted(names)) > 0 else '', interactive=True)
refresh_button = gr.Button("Refresh", variant="primary")
spk_item = gr.Slider(
minimum=0,
maximum=2333,
step=1,
label="Speaker ID",
value=0,
visible=False,
interactive=True,
)
vc_transform0 = gr.Number(
label="Pitch",
value=0
)
but0 = gr.Button(value="Convert", variant="primary")
with gr.Row():
with gr.Column():
with gr.Row():
dropbox = gr.File(label="Drop your audio here & hit the Reload button.")
with gr.Row():
record_button=gr.Audio(source="microphone", label="OR Record audio.", type="filepath")
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="Input Path",
value=paths_for_files('audios')[0] if len(paths_for_files('audios')) > 0 else '',
choices=paths_for_files('audios'), # Only show absolute paths for audio files ending in .mp3, .wav, .flac or .ogg
allow_custom_value=True
)
with gr.Row():
audio_player = gr.Audio()
input_audio0.change(
inputs=[input_audio0],
outputs=[audio_player],
fn=lambda path: {"value":path,"__type__":"update"} if os.path.exists(path) else None
)
record_button.stop_recording(
fn=lambda audio:audio, #TODO save wav lambda
inputs=[record_button],
outputs=[input_audio0])
dropbox.upload(
fn=lambda audio:audio.name,
inputs=[dropbox],
outputs=[input_audio0])
with gr.Column():
with gr.Accordion("Change Index", open=False):
file_index2 = gr.Dropdown(
label="Change Index",
choices=sorted(index_paths),
interactive=True,
value=sorted(index_paths)[0] if len(sorted(index_paths)) > 0 else ''
)
index_rate1 = gr.Slider(
minimum=0,
maximum=1,
label="Index Strength",
value=0.5,
interactive=True,
)
vc_output2 = gr.Audio(label="Output")
with gr.Accordion("General Settings", open=False):
f0method0 = gr.Radio(
label="Method",
choices=["pm", "harvest", "crepe", "rmvpe"]
if config.dml == False
else ["pm", "harvest", "rmvpe"],
value="rmvpe",
interactive=True,
)
filter_radius0 = gr.Slider(
minimum=0,
maximum=7,
label="Breathiness Reduction (Harvest only)",
value=3,
step=1,
interactive=True,
)
resample_sr0 = gr.Slider(
minimum=0,
maximum=48000,
label="Resample",
value=0,
step=1,
interactive=True,
visible=False
)
rms_mix_rate0 = gr.Slider(
minimum=0,
maximum=1,
label="Volume Normalization",
value=0,
interactive=True,
)
protect0 = gr.Slider(
minimum=0,
maximum=0.5,
label="Breathiness Protection (0 is enabled, 0.5 is disabled)",
value=0.33,
step=0.01,
interactive=True,
)
if voice_model != None: vc.get_vc(voice_model.value,protect0,protect0)
file_index1 = gr.Textbox(
label="Index Path",
interactive=True,
visible=False#Not used here
)
refresh_button.click(
fn=change_choices,
inputs=[],
outputs=[voice_model, file_index2],
api_name="infer_refresh",
)
refresh_button.click(
fn=lambda:{"choices":paths_for_files('audios'),"__type__":"update"}, #TODO check if properly returns a sorted list of audio files in the 'audios' folder that have the extensions '.wav', '.mp3', '.ogg', or '.flac'
inputs=[],
outputs = [input_audio0],
)
refresh_button.click(
fn=lambda:{"value":paths_for_files('audios')[0],"__type__":"update"} if len(paths_for_files('audios')) > 0 else {"value":"","__type__":"update"}, #TODO check if properly returns a sorted list of audio files in the 'audios' folder that have the extensions '.wav', '.mp3', '.ogg', or '.flac'
inputs=[],
outputs = [input_audio0],
)
with gr.Row():
f0_file = gr.File(label="F0 Path", visible=False)
with gr.Row():
vc_output1 = gr.Textbox(label="Information", placeholder="Welcome!",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="infer_convert",
)
voice_model.change(
fn=vc.get_vc,
inputs=[voice_model, protect0, protect0],
outputs=[spk_item, protect0, protect0, file_index2, file_index2],
api_name="infer_change_voice",
)
with gr.TabItem("Download Models"):
with gr.Row():
url_input = gr.Textbox(label="URL to model", value="",placeholder="https://...", scale=6)
name_output = gr.Textbox(label="Save as", value="",placeholder="MyModel",scale=2)
url_download = gr.Button(value="Download Model",scale=2)
url_download.click(
inputs=[url_input,name_output],
outputs=[url_input],
fn=download_from_url,
)
with gr.Row():
model_browser = gr.Dropdown(choices=list(model_library.models.keys()),label="OR Search Models (Quality UNKNOWN)",scale=5)
download_from_browser = gr.Button(value="Get",scale=2)
download_from_browser.click(
inputs=[model_browser],
outputs=[model_browser],
fn=lambda model: download_from_url(model_library.models[model],model),
)
if config.iscolab:
app.queue(concurrency_count=511, max_size=1022).launch(share=True)
else:
app.queue(concurrency_count=511, max_size=1022).launch(
server_name="0.0.0.0",
inbrowser=not config.noautoopen,
server_port=config.listen_port,
quiet=True,
) |