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",
                )