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Button, Textbox and Dropdown Position Modified

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XXXXRT666 2024-07-10 17:56:16 +08:00
parent c342ef541e
commit 42c7e26336
1 changed files with 24 additions and 18 deletions
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10
webui.py
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@ -693,27 +693,33 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
uvr5_info = gr.Textbox(label=i18n("UVR5进程输出信息"))
gr.Markdown(value=i18n("0b-语音切分工具"))
with gr.Row():
open_slicer_button=gr.Button(i18n("开启语音切割"), variant="primary",visible=True)
close_slicer_button=gr.Button(i18n("终止语音切割"), variant="primary",visible=False)
with gr.Column(scale=3):
with gr.Row():
slice_inp_path=gr.Textbox(label=i18n("音频自动切分输入路径，可文件可文件夹"),value="")
slice_opt_root=gr.Textbox(label=i18n("切分后的子音频的输出根目录"),value="output/slicer_opt")
with gr.Row():
threshold=gr.Textbox(label=i18n("threshold:音量小于这个值视作静音的备选切割点"),value="-34")
min_length=gr.Textbox(label=i18n("min_length:每段最小多长，如果第一段太短一直和后面段连起来直到超过这个值"),value="4000")
min_interval=gr.Textbox(label=i18n("min_interval:最短切割间隔"),value="300")
hop_size=gr.Textbox(label=i18n("hop_size:怎么算音量曲线，越小精度越大计算量越高（不是精度越大效果越好）"),value="10")
max_sil_kept=gr.Textbox(label=i18n("max_sil_kept:切完后静音最多留多长"),value="500")
with gr.Row():
open_slicer_button=gr.Button(i18n("开启语音切割"), variant="primary",visible=True)
close_slicer_button=gr.Button(i18n("终止语音切割"), variant="primary",visible=False)
_max=gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("max:归一化后最大值多少"),value=0.9,interactive=True)
alpha=gr.Slider(minimum=0,maximum=1,step=0.05,label=i18n("alpha_mix:混多少比例归一化后音频进来"),value=0.25,interactive=True)
n_process=gr.Slider(minimum=1,maximum=n_cpu,step=1,label=i18n("切割使用的进程数"),value=4,interactive=True)
with gr.Row():
slicer_info = gr.Textbox(label=i18n("语音切割进程输出信息"))
gr.Markdown(value=i18n("0bb-语音降噪工具"))
with gr.Row():
open_denoise_button = gr.Button(i18n("开启语音降噪"), variant="primary",visible=True)
close_denoise_button = gr.Button(i18n("终止语音降噪进程"), variant="primary",visible=False)
with gr.Column(scale=3):
with gr.Row():
denoise_input_dir=gr.Textbox(label=i18n("降噪音频文件输入文件夹"),value="")
denoise_output_dir=gr.Textbox(label=i18n("降噪结果输出文件夹"),value="output/denoise_opt")
with gr.Row():
denoise_info = gr.Textbox(label=i18n("语音降噪进程输出信息"))
gr.Markdown(value=i18n("0c-中文批量离线ASR工具"))
with gr.Row():