mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2025-12-16 19:57:58 +01:00
chore(format): run black on dev
This commit is contained in:
github-actions[bot]
156
infer-web.py
156
infer-web.py
@@ -93,7 +93,9 @@ if torch.cuda.is_available() or ngpu != 0:
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"90",
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"M4",
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"T4",
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"TITAN","4060", "L",
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"TITAN",
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"4060",
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"L",
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"6000",
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]
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):
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@@ -415,12 +417,16 @@ def get_pretrained_models(path_str, f0_str, sr2):
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sr2,
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)
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return (
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"assets/pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2)
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if if_pretrained_generator_exist
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else "",
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"assets/pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2)
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if if_pretrained_discriminator_exist
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else "",
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(
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"assets/pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2)
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if if_pretrained_generator_exist
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else ""
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),
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(
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"assets/pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2)
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if if_pretrained_discriminator_exist
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else ""
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),
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)
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@@ -762,7 +768,9 @@ def train1key(
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if_save_every_weights18,
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version19,
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)
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yield get_info_str(i18n("训练结束, 您可查看控制台训练日志或实验文件夹下的train.log"))
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yield get_info_str(
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i18n("训练结束, 您可查看控制台训练日志或实验文件夹下的train.log")
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)
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# step3b:训练索引
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[get_info_str(_) for _ in train_index(exp_dir1, version19)]
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@@ -809,7 +817,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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with gr.Row():
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sid0 = gr.Dropdown(label=i18n("推理音色"), choices=sorted(names))
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with gr.Column():
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refresh_button = gr.Button(i18n("刷新音色列表和索引路径"), variant="primary")
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refresh_button = gr.Button(
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i18n("刷新音色列表和索引路径"), variant="primary"
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)
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clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary")
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spk_item = gr.Slider(
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minimum=0,
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@@ -828,14 +838,19 @@ with gr.Blocks(title="RVC WebUI") as app:
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with gr.Row():
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with gr.Column():
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vc_transform0 = gr.Number(
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label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
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label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"),
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value=0,
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)
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input_audio0 = gr.Textbox(
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label=i18n("输入待处理音频文件路径(默认是正确格式示例)"),
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label=i18n(
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"输入待处理音频文件路径(默认是正确格式示例)"
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),
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placeholder="C:\\Users\\Desktop\\audio_example.wav",
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)
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file_index1 = gr.Textbox(
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label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
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label=i18n(
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"特征检索库文件路径,为空则使用下拉的选择结果"
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),
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placeholder="C:\\Users\\Desktop\\model_example.index",
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interactive=True,
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)
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@@ -848,9 +863,11 @@ with gr.Blocks(title="RVC WebUI") as app:
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label=i18n(
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU"
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),
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choices=["pm", "harvest", "crepe", "rmvpe"]
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if config.dml == False
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else ["pm", "harvest", "rmvpe"],
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choices=(
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["pm", "harvest", "crepe", "rmvpe"]
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if config.dml == False
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else ["pm", "harvest", "rmvpe"]
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),
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value="rmvpe",
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interactive=True,
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)
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@@ -867,7 +884,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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rms_mix_rate0 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n("输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"),
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label=i18n(
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"输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"
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),
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value=0.25,
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interactive=True,
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)
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@@ -899,7 +918,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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interactive=True,
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)
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f0_file = gr.File(
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label=i18n("F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"),
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label=i18n(
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"F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"
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),
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visible=False,
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)
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@@ -919,7 +940,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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but0 = gr.Button(i18n("转换"), variant="primary")
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with gr.Row():
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vc_output1 = gr.Textbox(label=i18n("输出信息"))
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vc_output2 = gr.Audio(label=i18n("输出音频(右下角三个点,点了可以下载)"))
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vc_output2 = gr.Audio(
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label=i18n("输出音频(右下角三个点,点了可以下载)")
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)
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but0.click(
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vc.vc_single,
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@@ -943,14 +966,19 @@ with gr.Blocks(title="RVC WebUI") as app:
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)
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with gr.TabItem(i18n("批量推理")):
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gr.Markdown(
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value=i18n("批量转换, 输入待转换音频文件夹, 或上传多个音频文件, 在指定文件夹(默认opt)下输出转换的音频. ")
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value=i18n(
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"批量转换, 输入待转换音频文件夹, 或上传多个音频文件, 在指定文件夹(默认opt)下输出转换的音频. "
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)
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)
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with gr.Row():
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with gr.Column():
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vc_transform1 = gr.Number(
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label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
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label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"),
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value=0,
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)
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opt_input = gr.Textbox(
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label=i18n("指定输出文件夹"), value="opt"
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)
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opt_input = gr.Textbox(label=i18n("指定输出文件夹"), value="opt")
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file_index3 = gr.Textbox(
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label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
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value="",
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@@ -965,9 +993,11 @@ with gr.Blocks(title="RVC WebUI") as app:
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label=i18n(
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU"
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),
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choices=["pm", "harvest", "crepe", "rmvpe"]
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if config.dml == False
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else ["pm", "harvest", "rmvpe"],
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choices=(
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["pm", "harvest", "crepe", "rmvpe"]
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if config.dml == False
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else ["pm", "harvest", "rmvpe"]
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),
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value="rmvpe",
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interactive=True,
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)
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@@ -1002,7 +1032,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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rms_mix_rate1 = gr.Slider(
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minimum=0,
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maximum=1,
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label=i18n("输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"),
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label=i18n(
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"输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"
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),
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value=1,
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interactive=True,
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)
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@@ -1019,7 +1051,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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filter_radius1 = gr.Slider(
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minimum=0,
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maximum=7,
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label=i18n(">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音"),
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label=i18n(
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">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音"
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),
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value=3,
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step=1,
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interactive=True,
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@@ -1033,11 +1067,14 @@ with gr.Blocks(title="RVC WebUI") as app:
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)
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with gr.Row():
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dir_input = gr.Textbox(
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label=i18n("输入待处理音频文件夹路径(去文件管理器地址栏拷就行了)"),
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label=i18n(
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"输入待处理音频文件夹路径(去文件管理器地址栏拷就行了)"
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),
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placeholder="C:\\Users\\Desktop\\input_vocal_dir",
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)
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inputs = gr.File(
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file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")
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file_count="multiple",
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label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹"),
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)
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with gr.Row():
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@@ -1086,10 +1123,13 @@ with gr.Blocks(title="RVC WebUI") as app:
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placeholder="C:\\Users\\Desktop\\todo-songs",
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)
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wav_inputs = gr.File(
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file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")
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file_count="multiple",
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label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹"),
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)
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with gr.Column():
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model_choose = gr.Dropdown(label=i18n("模型"), choices=uvr5_names)
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model_choose = gr.Dropdown(
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label=i18n("模型"), choices=uvr5_names
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)
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agg = gr.Slider(
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minimum=0,
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maximum=20,
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@@ -1170,7 +1210,8 @@ with gr.Blocks(title="RVC WebUI") as app:
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)
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with gr.Row():
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trainset_dir4 = gr.Textbox(
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label=i18n("输入训练文件夹路径"), value=i18n("E:\\语音音频+标注\\米津玄师\\src")
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label=i18n("输入训练文件夹路径"),
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value=i18n("E:\\语音音频+标注\\米津玄师\\src"),
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)
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spk_id5 = gr.Slider(
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minimum=0,
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@@ -1189,11 +1230,17 @@ with gr.Blocks(title="RVC WebUI") as app:
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api_name="train_preprocess",
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)
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with gr.Group():
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gr.Markdown(value=i18n("step2b: 使用CPU提取音高(如果模型带音高), 使用GPU提取特征(选择卡号)"))
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gr.Markdown(
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value=i18n(
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"step2b: 使用CPU提取音高(如果模型带音高), 使用GPU提取特征(选择卡号)"
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)
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)
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with gr.Row():
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with gr.Column():
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gpus6 = gr.Textbox(
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label=i18n("以-分隔输入使用的卡号, 例如 0-1-2 使用卡0和卡1和卡2"),
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label=i18n(
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"以-分隔输入使用的卡号, 例如 0-1-2 使用卡0和卡1和卡2"
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),
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value=gpus,
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interactive=True,
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visible=F0GPUVisible,
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@@ -1281,7 +1328,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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interactive=True,
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)
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if_save_every_weights18 = gr.Radio(
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label=i18n("是否在每次保存时间点将最终小模型保存至weights文件夹"),
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label=i18n(
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"是否在每次保存时间点将最终小模型保存至weights文件夹"
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),
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choices=[i18n("是"), i18n("否")],
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value=i18n("否"),
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interactive=True,
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@@ -1313,7 +1362,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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[f0method8, gpus_rmvpe, pretrained_G14, pretrained_D15],
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)
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gpus16 = gr.Textbox(
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label=i18n("以-分隔输入使用的卡号, 例如 0-1-2 使用卡0和卡1和卡2"),
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label=i18n(
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"以-分隔输入使用的卡号, 例如 0-1-2 使用卡0和卡1和卡2"
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),
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value=gpus,
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interactive=True,
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)
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@@ -1373,8 +1424,12 @@ with gr.Blocks(title="RVC WebUI") as app:
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with gr.Group():
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gr.Markdown(value=i18n("模型融合, 可用于测试音色融合"))
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with gr.Row():
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ckpt_a = gr.Textbox(label=i18n("A模型路径"), value="", interactive=True)
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ckpt_b = gr.Textbox(label=i18n("B模型路径"), value="", interactive=True)
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ckpt_a = gr.Textbox(
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label=i18n("A模型路径"), value="", interactive=True
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)
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ckpt_b = gr.Textbox(
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label=i18n("B模型路径"), value="", interactive=True
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)
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alpha_a = gr.Slider(
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minimum=0,
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maximum=1,
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@@ -1396,7 +1451,10 @@ with gr.Blocks(title="RVC WebUI") as app:
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interactive=True,
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)
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info__ = gr.Textbox(
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label=i18n("要置入的模型信息"), value="", max_lines=8, interactive=True
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label=i18n("要置入的模型信息"),
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value="",
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max_lines=8,
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interactive=True,
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)
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name_to_save0 = gr.Textbox(
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label=i18n("保存的模型名不带后缀"),
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@@ -1429,13 +1487,18 @@ with gr.Blocks(title="RVC WebUI") as app:
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api_name="ckpt_merge",
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) # def merge(path1,path2,alpha1,sr,f0,info):
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with gr.Group():
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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)"))
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gr.Markdown(
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value=i18n("修改模型信息(仅支持weights文件夹下提取的小模型文件)")
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)
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with gr.Row():
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ckpt_path0 = gr.Textbox(
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label=i18n("模型路径"), value="", interactive=True
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)
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info_ = gr.Textbox(
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label=i18n("要改的模型信息"), value="", max_lines=8, interactive=True
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label=i18n("要改的模型信息"),
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value="",
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max_lines=8,
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interactive=True,
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)
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name_to_save1 = gr.Textbox(
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label=i18n("保存的文件名, 默认空为和源文件同名"),
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@@ -1453,7 +1516,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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api_name="ckpt_modify",
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)
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with gr.Group():
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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)"))
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gr.Markdown(
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value=i18n("查看模型信息(仅支持weights文件夹下提取的小模型文件)")
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)
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with gr.Row():
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ckpt_path1 = gr.Textbox(
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label=i18n("模型路径"), value="", interactive=True
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@@ -1495,7 +1560,10 @@ with gr.Blocks(title="RVC WebUI") as app:
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interactive=True,
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)
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info___ = gr.Textbox(
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label=i18n("要置入的模型信息"), value="", max_lines=8, interactive=True
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label=i18n("要置入的模型信息"),
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value="",
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max_lines=8,
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interactive=True,
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)
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but9 = gr.Button(i18n("提取"), variant="primary")
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info7 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
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@@ -1511,7 +1579,9 @@ with gr.Blocks(title="RVC WebUI") as app:
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with gr.TabItem(i18n("Onnx导出")):
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with gr.Row():
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ckpt_dir = gr.Textbox(label=i18n("RVC模型路径"), value="", interactive=True)
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ckpt_dir = gr.Textbox(
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label=i18n("RVC模型路径"), value="", interactive=True
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)
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with gr.Row():
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onnx_dir = gr.Textbox(
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label=i18n("Onnx输出路径"), value="", interactive=True
|
||||
|
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Reference in New Issue
Block a user