RVC / app /tabs /train /ckpt.py
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Update app/tabs/train/ckpt.py
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import gradio as gr
from app.original import *
def ckpt_edits():
with gr.TabItem(i18n("ckpt处理")):
with gr.Group():
gr.Markdown(value=i18n("模型融合, 可用于测试音色融合"))
with gr.Row():
ckpt_a = gr.Textbox(
label=i18n("A模型路径"), value="", interactive=True
)
ckpt_b = gr.Textbox(
label=i18n("B模型路径"), value="", interactive=True
)
alpha_a = gr.Slider(
minimum=0,
maximum=1,
label=i18n("A模型权重"),
value=0.5,
interactive=True,
)
with gr.Row():
sr_ = gr.Radio(
label=i18n("目标采样率"),
choices=["40k", "48k"],
value="40k",
interactive=True,
)
if_f0_ = gr.Radio(
label=i18n("模型是否带音高指导"),
choices=[i18n("是"), i18n("否")],
value=i18n("是"),
interactive=True,
)
info__ = gr.Textbox(
label=i18n("要置入的模型信息"),
value="",
max_lines=8,
interactive=True,
)
name_to_save0 = gr.Textbox(
label=i18n("保存的模型名不带后缀"),
value="",
max_lines=1,
interactive=True,
)
version_2 = gr.Radio(
label=i18n("模型版本型号"),
choices=["v1", "v2"],
value="v1",
interactive=True,
)
with gr.Row():
but6 = gr.Button(i18n("融合"), variant="primary")
info4 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
but6.click(
merge,
[
ckpt_a,
ckpt_b,
alpha_a,
sr_,
if_f0_,
info__,
name_to_save0,
version_2,
],
info4,
api_name="ckpt_merge",
) # def merge(path1,path2,alpha1,sr,f0,info):
with gr.Group():
gr.Markdown(
value=i18n("修改模型信息(仅支持weights文件夹下提取的小模型文件)")
)
with gr.Row():
ckpt_path0 = gr.Textbox(
label=i18n("模型路径"), value="", interactive=True
)
info_ = gr.Textbox(
label=i18n("要改的模型信息"),
value="",
max_lines=8,
interactive=True,
)
name_to_save1 = gr.Textbox(
label=i18n("保存的文件名, 默认空为和源文件同名"),
value="",
max_lines=8,
interactive=True,
)
with gr.Row():
but7 = gr.Button(i18n("修改"), variant="primary")
info5 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
but7.click(
change_info,
[ckpt_path0, info_, name_to_save1],
info5,
api_name="ckpt_modify",
)
with gr.Group():
gr.Markdown(
value=i18n("查看模型信息(仅支持weights文件夹下提取的小模型文件)")
)
with gr.Row():
ckpt_path1 = gr.Textbox(
label=i18n("模型路径"), value="", interactive=True
)
but8 = gr.Button(i18n("查看"), variant="primary")
info6 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
but8.click(show_info, [ckpt_path1], info6, api_name="ckpt_show")
with gr.Group():
gr.Markdown(
value=i18n(
"模型提取(输入logs文件夹下大文件模型路径),适用于训一半不想训了模型没有自动提取保存小文件模型,或者想测试中间模型的情况"
)
)
with gr.Row():
ckpt_path2 = gr.Textbox(
label=i18n("模型路径"),
value="E:\\codes\\py39\\logs\\mi-test_f0_48k\\G_23333.pth",
interactive=True,
)
save_name = gr.Textbox(
label=i18n("保存名"), value="", interactive=True
)
sr__ = gr.Radio(
label=i18n("目标采样率"),
choices=["32k", "40k", "48k"],
value="40k",
interactive=True,
)
if_f0__ = gr.Radio(
label=i18n("模型是否带音高指导,1是0否"),
choices=["1", "0"],
value="1",
interactive=True,
)
version_1 = gr.Radio(
label=i18n("模型版本型号"),
choices=["v1", "v2"],
value="v2",
interactive=True,
)
info___ = gr.Textbox(
label=i18n("要置入的模型信息"),
value="",
max_lines=8,
interactive=True,
)
but9 = gr.Button(i18n("提取"), variant="primary")
info7 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
ckpt_path2.change(
change_info_, [ckpt_path2], [sr__, if_f0__, version_1]
)
but9.click(
extract_small_model,
[ckpt_path2, save_name, sr__, if_f0__, info___, version_1],
info7,
api_name="ckpt_extract",
)