dianskip/ai-voice-cloning
1
0
Fork 0
forked from camenduru/ai-voice-cloning
Code Pull Requests Activity

finally added model refresh button, also searches in the training folder for outputted models so you don't even need to copy them

Browse Source
This commit is contained in:
mrq 2023-02-24 12:58:41 +00:00
parent 1e0fec4358
commit f6d0b66e10
2 changed files with 33 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
src/utils.py
View File

@ -838,7 +838,17 @@ def get_autoregressive_models(dir="./models/finetunes/"):
if os.path.exists(halfp):
base.append(halfp)
return base + sorted([f'{dir}/{d}' for d in os.listdir(dir) if d[-4:] == ".pth" ])
additionals = sorted([f'{dir}/{d}' for d in os.listdir(dir) if d[-4:] == ".pth" ])
found = []
for training in os.listdir(f'./training/'):
if not os.path.isdir(f'./training/{training}/') or not os.path.isdir(f'./training/{training}/models/'):
continue
#found = found + sorted([ f'./training/{training}/model/{d}' for d in os.listdir(f'./training/{training}/models/') if d[-8:] == "_gpt.pth" ])
models = sorted([ int(d[:-8]) for d in os.listdir(f'./training/{training}/models/') if d[-8:] == "_gpt.pth" ])
found = found + [ f'./training/{training}/model/{d}_gpt.pth' for d in models ]
#found.append(f'./training/{training}/model/{models[-1]}_gpt.pth')
return base + additionals + found
def get_dataset_list(dir="./training/"):
return sorted([d for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d)) and len(os.listdir(os.path.join(dir, d))) > 0 and "train.txt" in os.listdir(os.path.join(dir, d)) ])

30
src/webui.py
View File

@ -343,9 +343,10 @@ def setup_gradio():
voice_list = get_voice_list(append_defaults=True)
voice = gr.Dropdown(choices=voice_list, label="Voice", type="value", value=voice_list[0]) # it'd be very cash money if gradio was able to default to the first value in the list without this shit
mic_audio = gr.Audio( label="Microphone Source", source="microphone", type="filepath" )
refresh_voices = gr.Button(value="Refresh Voice List")
voice_latents_chunks = gr.Slider(label="Voice Chunks", minimum=1, maximum=64, value=1, step=1)
recompute_voice_latents = gr.Button(value="(Re)Compute Voice Latents")
with gr.Row():
refresh_voices = gr.Button(value="Refresh Voice List")
recompute_voice_latents = gr.Button(value="(Re)Compute Voice Latents")
def update_baseline_for_latents_chunks( voice ):
path = f'{get_voice_dir()}/{voice}/'
@ -524,7 +525,26 @@ def setup_gradio():
autoregressive_models = get_autoregressive_models()
autoregressive_model_dropdown = gr.Dropdown(choices=autoregressive_models, label="Autoregressive Model", value=args.autoregressive_model if args.autoregressive_model else autoregressive_models[0])
whisper_model_dropdown = gr.Dropdown(["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large"], label="Whisper Model", value=args.whisper_model)
with gr.Row():
autoregressive_models_update_button = gr.Button(value="Refresh Model List")
gr.Button(value="Check for Updates").click(check_for_updates)
gr.Button(value="(Re)Load TTS").click(
reload_tts,
inputs=autoregressive_model_dropdown,
outputs=None
)
def update_model_list_proxy( val ):
autoregressive_models = get_autoregressive_models()
if val not in autoregressive_models:
val = autoregressive_models[0]
return gr.update( choices=autoregressive_models, value=val )
autoregressive_models_update_button.click(
update_model_list_proxy,
inputs=autoregressive_model_dropdown,
outputs=autoregressive_model_dropdown,
)
autoregressive_model_dropdown.change(
fn=update_autoregressive_model,
@ -537,12 +557,6 @@ def setup_gradio():
outputs=None
)
gr.Button(value="Check for Updates").click(check_for_updates)
gr.Button(value="(Re)Load TTS").click(
reload_tts,
inputs=autoregressive_model_dropdown,
outputs=None
)
for i in exec_inputs:
i.change( fn=update_args, inputs=exec_inputs )