RVC/Retrieval-based-Voice-Conversion-WebUI
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chore(sync): merge dev into main (#1379)

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* Optimize latency (#1259)

* add attribute:   configs/config.py
	Optimize latency:   tools/rvc_for_realtime.py

* new file:   assets/Synthesizer_inputs.pth

* fix:   configs/config.py
	fix:   tools/rvc_for_realtime.py

* fix bug:   infer/lib/infer_pack/models.py

* new file:   assets/hubert_inputs.pth
	new file:   assets/rmvpe_inputs.pth
	modified:   configs/config.py
	new features:   infer/lib/rmvpe.py
	new features:   tools/jit_export/__init__.py
	new features:   tools/jit_export/get_hubert.py
	new features:   tools/jit_export/get_rmvpe.py
	new features:   tools/jit_export/get_synthesizer.py
	optimize:   tools/rvc_for_realtime.py

* optimize:   tools/jit_export/get_synthesizer.py
	fix bug:   tools/jit_export/__init__.py

* Fixed a bug caused by using half on the CPU:   infer/lib/rmvpe.py
	Fixed a bug caused by using half on the CPU:   tools/jit_export/__init__.py
	Fixed CIRCULAR IMPORT:   tools/jit_export/get_rmvpe.py
	Fixed CIRCULAR IMPORT:   tools/jit_export/get_synthesizer.py
	Fixed a bug caused by using half on the CPU:   tools/rvc_for_realtime.py

* Remove useless code:   infer/lib/rmvpe.py

* Delete gui_v1 copy.py

* Delete .vscode/launch.json

* Delete jit_export_test.py

* Delete tools/rvc_for_realtime copy.py

* Delete configs/config.json

* Delete .gitignore

* Fix exceptions caused by switching inference devices:   infer/lib/rmvpe.py
	Fix exceptions caused by switching inference devices:   tools/jit_export/__init__.py
	Fix exceptions caused by switching inference devices:   tools/rvc_for_realtime.py

* restore

* replace(you can undo this commit)

* remove debug_print

---------

Co-authored-by: Ftps <ftpsflandre@gmail.com>

* Fixed some bugs when exporting ONNX model (#1254)

* fix import (#1280)

* fix import

* lint

* 🎨 同步 locale (#1242)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Fix jit load and import issue (#1282)

* fix jit model loading :   infer/lib/rmvpe.py

* modified:   assets/hubert/.gitignore
	move file:    assets/hubert_inputs.pth -> assets/hubert/hubert_inputs.pth
	modified:   assets/rmvpe/.gitignore
	move file:    assets/rmvpe_inputs.pth -> assets/rmvpe/rmvpe_inputs.pth
	fix import:   gui_v1.py

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* Add input wav and delay time monitor for real-time gui (#1293)

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* 🎨 同步 locale (#1289)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: edit PR template

* add input wav and delay time monitor

---------

Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: RVC-Boss <129054828+RVC-Boss@users.noreply.github.com>

* Optimize latency using scripted jit (#1291)

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* 🎨 同步 locale (#1289)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: edit PR template

* Optimize-latency-using-scripted:   configs/config.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/attentions.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/commons.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/models.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/modules.py
	Optimize-latency-using-scripted:   infer/lib/jit/__init__.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_hubert.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_rmvpe.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_synthesizer.py
	Optimize-latency-using-scripted:   infer/lib/rmvpe.py
	Optimize-latency-using-scripted:   tools/rvc_for_realtime.py

* modified:   infer/lib/infer_pack/models.py

* fix some bug:   configs/config.py
	fix some bug:   infer/lib/infer_pack/models.py
	fix some bug:   infer/lib/rmvpe.py

* Fixed abnormal reference of logger in multiprocessing:   infer/modules/train/train.py

---------

Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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* Format code (#1298)

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* 🎨 同步 locale (#1299)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: optimize actions

* feat(workflow): add sync dev

* feat: optimize actions

* feat: optimize actions

* feat: optimize actions

* feat: optimize actions

* feat: add jit options (#1303)

Delete useless code:   infer/lib/jit/get_synthesizer.py
	Optimized code:   tools/rvc_for_realtime.py

* Code refactor + re-design inference ui (#1304)

* Code refacor + re-design inference ui

* Fix tabname

* i18n jp

---------

Co-authored-by: Ftps <ftpsflandre@gmail.com>

* feat: optimize actions

* feat: optimize actions

* Update README & en_US locale file (#1309)

* critical: some bug fixes (#1322)

* JIT acceleration switch does not support hot update

* fix padding bug of rmvpe in torch-directml

* fix padding bug of rmvpe in torch-directml

* Fix STFT under torch_directml (#1330)

* chore(format): run black on dev (#1318)

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* chore(i18n): sync locale on dev (#1317)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: allow for tta to be passed to uvr (#1361)

* chore(format): run black on dev (#1373)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Added script for automatically download all needed models at install (#1366)

* Delete modules.py

* Add files via upload

* Add files via upload

* Add files via upload

* Add files via upload

* chore(i18n): sync locale on dev (#1377)

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* chore(format): run black on dev (#1376)

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* Update IPEX library (#1362)

* Update IPEX library

* Update ipex index

* chore(format): run black on dev (#1378)

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---------

Co-authored-by: Chengjia Jiang <46401978+ChasonJiang@users.noreply.github.com>
Co-authored-by: Ftps <ftpsflandre@gmail.com>
Co-authored-by: shizuku_nia <102004222+ShizukuNia@users.noreply.github.com>
Co-authored-by: Ftps <63702646+Tps-F@users.noreply.github.com>
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This commit is contained in:
github-actions[bot]
2023-10-06 17:14:33 +08:00
committed by GitHub
parent fe166e7f3d
commit e9dd11bddb
42 changed files with 2014 additions and 1120 deletions
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417
infer-web.py
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@@ -1,36 +1,46 @@
import os, sys
import os
import sys
now_dir = os.getcwd()
sys.path.append(now_dir)
import logging
import shutil
import threading
import traceback
import warnings
from random import shuffle
from subprocess import Popen
from time import sleep
import json
import pathlib
import fairseq
import faiss
import gradio as gr
import numpy as np
import torch
from dotenv import load_dotenv
from sklearn.cluster import MiniBatchKMeans
from configs.config import Config
from i18n.i18n import I18nAuto
from infer.modules.vc.modules import VC
from infer.modules.uvr5.modules import uvr
from infer.lib.train.process_ckpt import (
change_info,
extract_small_model,
merge,
show_info,
)
from infer.modules.uvr5.modules import uvr
from infer.modules.vc.modules import VC
from i18n.i18n import I18nAuto
from configs.config import Config
from sklearn.cluster import MiniBatchKMeans
from dotenv import load_dotenv
import torch
try:
import intel_extension_for_pytorch as ipex # pylint: disable=import-error, unused-import
if torch.xpu.is_available():
from infer.modules.ipex import ipex_init
ipex_init()
except Exception: # pylint: disable=broad-exception-caught
pass
import numpy as np
import gradio as gr
import faiss
import fairseq
import pathlib
import json
from time import sleep
from subprocess import Popen
from random import shuffle
import warnings
import traceback
import threading
import shutil
import logging
logging.getLogger("numba").setLevel(logging.WARNING)
@@ -165,10 +175,10 @@ def clean():
return {"value": "", "__type__": "update"}
def export_onnx():
def export_onnx(ModelPath, ExportedPath):
from infer.modules.onnx.export import export_onnx as eo
eo()
eo(ModelPath, ExportedPath)
sr_dict = {
@@ -219,8 +229,9 @@ def preprocess_dataset(trainset_dir, exp_dir, sr, n_p):
per,
)
logger.info(cmd)
p = Popen(cmd, shell=True) # , stdin=PIPE, stdout=PIPE,stderr=PIPE,cwd=now_dir
###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
# , stdin=PIPE, stdout=PIPE,stderr=PIPE,cwd=now_dir
p = Popen(cmd, shell=True)
# 煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
done = [False]
threading.Thread(
target=if_done,
@@ -263,7 +274,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19, gpus_rmvp
p = Popen(
cmd, shell=True, cwd=now_dir
) # , stdin=PIPE, stdout=PIPE,stderr=PIPE
###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
# 煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
done = [False]
threading.Thread(
target=if_done,
@@ -295,7 +306,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19, gpus_rmvp
cmd, shell=True, cwd=now_dir
) # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
ps.append(p)
###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
# 煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
done = [False]
threading.Thread(
target=if_done_multi, #
@@ -331,7 +342,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19, gpus_rmvp
log = f.read()
logger.info(log)
yield log
####对不同part分别开多进程
# 对不同part分别开多进程
"""
n_part=int(sys.argv[1])
i_part=int(sys.argv[2])
@@ -360,7 +371,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19, gpus_rmvp
cmd, shell=True, cwd=now_dir
) # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
ps.append(p)
###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
# 煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
done = [False]
threading.Thread(
target=if_done_multi,
@@ -701,11 +712,11 @@ def train1key(
infos.append(strr)
return "\n".join(infos)
####### step1:处理数据
# step1:处理数据
yield get_info_str(i18n("step1:正在处理数据"))
[get_info_str(_) for _ in preprocess_dataset(trainset_dir4, exp_dir1, sr2, np7)]
####### step2a:提取音高
# step2a:提取音高
yield get_info_str(i18n("step2:正在提取音高&正在提取特征"))
[
get_info_str(_)
@@ -714,7 +725,7 @@ def train1key(
)
]
####### step3a:训练模型
# step3a:训练模型
yield get_info_str(i18n("step3a:正在训练模型"))
click_train(
exp_dir1,
@@ -734,7 +745,7 @@ def train1key(
)
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"))
####### step3b:训练索引
# step3b:训练索引
[get_info_str(_) for _ in train_index(exp_dir1, version19)]
yield get_info_str(i18n("全流程结束！"))
@@ -768,6 +779,7 @@ def change_f0_method(f0method8):
with gr.Blocks(title="RVC WebUI") as app:
gr.Markdown("## RVC WebUI")
gr.Markdown(
value=i18n(
"本软件以MIT协议开源, 作者不对软件具备任何控制力, 使用软件者、传播软件导出的声音者自负全责. <br>如不认可该条款, 则不能使用或引用软件包内任何代码和文件. 详见根目录<b>LICENSE</b>."
@@ -777,8 +789,9 @@ with gr.Blocks(title="RVC WebUI") as app:
with gr.TabItem(i18n("模型推理")):
with gr.Row():
sid0 = gr.Dropdown(label=i18n("推理音色"), choices=sorted(names))
refresh_button = gr.Button(i18n("刷新音色列表和索引路径"), variant="primary")
clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary")
with gr.Column():
refresh_button = gr.Button(i18n("刷新音色列表和索引路径"), variant="primary")
clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary")
spk_item = gr.Slider(
minimum=0,
maximum=2333,
@@ -791,118 +804,125 @@ with gr.Blocks(title="RVC WebUI") as app:
clean_button.click(
fn=clean, inputs=[], outputs=[sid0], api_name="infer_clean"
)
with gr.Group():
gr.Markdown(
value=i18n("男转女推荐+12key, 女转男推荐-12key, 如果音域爆炸导致音色失真也可以自己调整到合适音域. ")
)
with gr.Row():
with gr.Column():
vc_transform0 = gr.Number(
label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
)
input_audio0 = gr.Textbox(
label=i18n("输入待处理音频文件路径(默认是正确格式示例)"),
value="E:\\codes\\py39\\test-20230416b\\todo-songs\\冬之花clip1.wav",
)
f0method0 = gr.Radio(
label=i18n(
"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"
),
choices=["pm", "harvest", "crepe", "rmvpe"]
if config.dml == False
else ["pm", "harvest", "rmvpe"],
value="pm",
interactive=True,
)
filter_radius0 = gr.Slider(
minimum=0,
maximum=7,
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"),
value=3,
step=1,
interactive=True,
)
with gr.Column():
file_index1 = gr.Textbox(
label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
value="",
interactive=True,
)
file_index2 = gr.Dropdown(
label=i18n("自动检测index路径,下拉式选择(dropdown)"),
choices=sorted(index_paths),
interactive=True,
)
refresh_button.click(
fn=change_choices,
inputs=[],
outputs=[sid0, file_index2],
api_name="infer_refresh",
)
# file_big_npy1 = gr.Textbox(
# label=i18n("特征文件路径"),
# value="E:\\codes\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy",
# interactive=True,
# )
index_rate1 = gr.Slider(
minimum=0,
maximum=1,
label=i18n("检索特征占比"),
value=0.75,
interactive=True,
)
with gr.Column():
resample_sr0 = gr.Slider(
minimum=0,
maximum=48000,
label=i18n("后处理重采样至最终采样率，0为不进行重采样"),
value=0,
step=1,
interactive=True,
)
rms_mix_rate0 = gr.Slider(
minimum=0,
maximum=1,
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"),
value=0.25,
interactive=True,
)
protect0 = gr.Slider(
minimum=0,
maximum=0.5,
label=i18n(
"保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"
),
value=0.33,
step=0.01,
interactive=True,
)
f0_file = gr.File(label=i18n("F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"))
but0 = gr.Button(i18n("转换"), variant="primary")
with gr.TabItem(i18n("单次推理")):
with gr.Group():
with gr.Row():
vc_output1 = gr.Textbox(label=i18n("输出信息"))
vc_output2 = gr.Audio(label=i18n("输出音频(右下角三个点,点了可以下载)"))
but0.click(
vc.vc_single,
[
spk_item,
input_audio0,
vc_transform0,
f0_file,
f0method0,
file_index1,
file_index2,
# file_big_npy1,
index_rate1,
filter_radius0,
resample_sr0,
rms_mix_rate0,
protect0,
],
[vc_output1, vc_output2],
api_name="infer_convert",
)
with gr.Group():
with gr.Column():
vc_transform0 = gr.Number(
label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
)
input_audio0 = gr.Textbox(
label=i18n("输入待处理音频文件路径(默认是正确格式示例)"),
placeholder="C:\\Users\\Desktop\\audio_example.wav",
)
file_index1 = gr.Textbox(
label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
placeholder="C:\\Users\\Desktop\\model_example.index",
interactive=True,
)
file_index2 = gr.Dropdown(
label=i18n("自动检测index路径,下拉式选择(dropdown)"),
choices=sorted(index_paths),
interactive=True,
)
f0method0 = gr.Radio(
label=i18n(
"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"
),
choices=["pm", "harvest", "crepe", "rmvpe"]
if config.dml == False
else ["pm", "harvest", "rmvpe"],
value="rmvpe",
interactive=True,
)
with gr.Column():
resample_sr0 = gr.Slider(
minimum=0,
maximum=48000,
label=i18n("后处理重采样至最终采样率，0为不进行重采样"),
value=0,
step=1,
interactive=True,
)
rms_mix_rate0 = gr.Slider(
minimum=0,
maximum=1,
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"),
value=0.25,
interactive=True,
)
protect0 = gr.Slider(
minimum=0,
maximum=0.5,
label=i18n(
"保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"
),
value=0.33,
step=0.01,
interactive=True,
)
filter_radius0 = gr.Slider(
minimum=0,
maximum=7,
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"
),
value=3,
step=1,
interactive=True,
)
index_rate1 = gr.Slider(
minimum=0,
maximum=1,
label=i18n("检索特征占比"),
value=0.75,
interactive=True,
)
f0_file = gr.File(
label=i18n("F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"),
visible=False,
)
refresh_button.click(
fn=change_choices,
inputs=[],
outputs=[sid0, file_index2],
api_name="infer_refresh",
)
# file_big_npy1 = gr.Textbox(
# label=i18n("特征文件路径"),
# value="E:\\codes\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy",
# interactive=True,
# )
with gr.Group():
with gr.Column():
but0 = gr.Button(i18n("转换"), variant="primary")
with gr.Row():
vc_output1 = gr.Textbox(label=i18n("输出信息"))
vc_output2 = gr.Audio(label=i18n("输出音频(右下角三个点,点了可以下载)"))
but0.click(
vc.vc_single,
[
spk_item,
input_audio0,
vc_transform0,
f0_file,
f0method0,
file_index1,
file_index2,
# file_big_npy1,
index_rate1,
filter_radius0,
resample_sr0,
rms_mix_rate0,
protect0,
],
[vc_output1, vc_output2],
api_name="infer_convert",
)
with gr.TabItem(i18n("批量推理")):
gr.Markdown(
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. ")
)
@@ -912,25 +932,6 @@ with gr.Blocks(title="RVC WebUI") as app:
label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
)
opt_input = gr.Textbox(label=i18n("指定输出文件夹"), value="opt")
f0method1 = gr.Radio(
label=i18n(
"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"
),
choices=["pm", "harvest", "crepe", "rmvpe"]
if config.dml == False
else ["pm", "harvest", "rmvpe"],
value="pm",
interactive=True,
)
filter_radius1 = gr.Slider(
minimum=0,
maximum=7,
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"),
value=3,
step=1,
interactive=True,
)
with gr.Column():
file_index3 = gr.Textbox(
label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
value="",
@@ -941,6 +942,23 @@ with gr.Blocks(title="RVC WebUI") as app:
choices=sorted(index_paths),
interactive=True,
)
f0method1 = gr.Radio(
label=i18n(
"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"
),
choices=["pm", "harvest", "crepe", "rmvpe"]
if config.dml == False
else ["pm", "harvest", "rmvpe"],
value="rmvpe",
interactive=True,
)
format1 = gr.Radio(
label=i18n("导出文件格式"),
choices=["wav", "flac", "mp3", "m4a"],
value="wav",
interactive=True,
)
refresh_button.click(
fn=lambda: change_choices()[1],
inputs=[],
@@ -952,13 +970,7 @@ with gr.Blocks(title="RVC WebUI") as app:
# value="E:\\codes\\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy",
# interactive=True,
# )
index_rate2 = gr.Slider(
minimum=0,
maximum=1,
label=i18n("检索特征占比"),
value=1,
interactive=True,
)
with gr.Column():
resample_sr1 = gr.Slider(
minimum=0,
@@ -985,23 +997,34 @@ with gr.Blocks(title="RVC WebUI") as app:
step=0.01,
interactive=True,
)
with gr.Column():
dir_input = gr.Textbox(
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)"),
value="E:\codes\py39\\test-20230416b\\todo-songs",
)
inputs = gr.File(
file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")
)
with gr.Row():
format1 = gr.Radio(
label=i18n("导出文件格式"),
choices=["wav", "flac", "mp3", "m4a"],
value="flac",
filter_radius1 = gr.Slider(
minimum=0,
maximum=7,
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"),
value=3,
step=1,
interactive=True,
)
but1 = gr.Button(i18n("转换"), variant="primary")
vc_output3 = gr.Textbox(label=i18n("输出信息"))
index_rate2 = gr.Slider(
minimum=0,
maximum=1,
label=i18n("检索特征占比"),
value=1,
interactive=True,
)
with gr.Row():
dir_input = gr.Textbox(
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)"),
placeholder="C:\\Users\\Desktop\\input_vocal_dir",
)
inputs = gr.File(
file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")
)
with gr.Row():
but1 = gr.Button(i18n("转换"), variant="primary")
vc_output3 = gr.Textbox(label=i18n("输出信息"))
but1.click(
vc.vc_multi,
[
@@ -1024,12 +1047,12 @@ with gr.Blocks(title="RVC WebUI") as app:
[vc_output3],
api_name="infer_convert_batch",
)
sid0.change(
fn=vc.get_vc,
inputs=[sid0, protect0, protect1],
outputs=[spk_item, protect0, protect1, file_index2, file_index4],
api_name="infer_change_voice",
)
sid0.change(
fn=vc.get_vc,
inputs=[sid0, protect0, protect1],
outputs=[spk_item, protect0, protect1, file_index2, file_index4],
api_name="infer_change_voice",
)
with gr.TabItem(i18n("伴奏人声分离&去混响&去回声")):
with gr.Group():
gr.Markdown(
@@ -1041,7 +1064,7 @@ with gr.Blocks(title="RVC WebUI") as app:
with gr.Column():
dir_wav_input = gr.Textbox(
label=i18n("输入待处理音频文件夹路径"),
value="E:\\codes\\py39\\test-20230416b\\todo-songs\\todo-songs",
placeholder="C:\\Users\\Desktop\\todo-songs",
)
wav_inputs = gr.File(
file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")