mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2026-07-13 19:41:10 +08:00
Merge 180d4a0010992a69e1ccd7c167a73e890fb533d7 into 968952fd2ab3db8ef228a79072f5456fe20bda52
This commit is contained in:
XXXXRT666
GitHub
commit
63e060b63b
2
.github/build_windows_packages.ps1
vendored
2
.github/build_windows_packages.ps1
vendored
@ -162,7 +162,7 @@ Copy-Item -Path $curr -Destination $pkgName -Recurse
|
|||||||
$7zPath = "$pkgName.7z"
|
$7zPath = "$pkgName.7z"
|
||||||
$start = Get-Date
|
$start = Get-Date
|
||||||
Write-Host "Compress Starting at $start"
|
Write-Host "Compress Starting at $start"
|
||||||
& "C:\Program Files\7-Zip\7z.exe" a -t7z "$7zPath" "$pkgName" -m0=lzma2 -mx=9 -md=1g -ms=1g -mmc=500 -mfb=273 -mlc=0 -mlp=4 -mpb=4 -mc=8g -mmt=on -bsp1
|
& "C:\Program Files\7-Zip\7z.exe" a -t7z "$7zPath" "$pkgName" -m0=lzma2 -mx=9 -mmt=on -bsp1
|
||||||
$end = Get-Date
|
$end = Get-Date
|
||||||
Write-Host "Elapsed time: $($end - $start)"
|
Write-Host "Elapsed time: $($end - $start)"
|
||||||
Get-ChildItem .
|
Get-ChildItem .
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||||||
|
|||||||
@ -1295,5 +1295,6 @@ if __name__ == "__main__":
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inbrowser=True,
|
inbrowser=True,
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||||||
share=is_share,
|
share=is_share,
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||||||
server_port=infer_ttswebui,
|
server_port=infer_ttswebui,
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||||||
|
show_api=False,
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# quiet=True,
|
# quiet=True,
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)
|
)
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@ -538,5 +538,6 @@ if __name__ == "__main__":
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inbrowser=True,
|
inbrowser=True,
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share=is_share,
|
share=is_share,
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||||||
server_port=infer_ttswebui,
|
server_port=infer_ttswebui,
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||||||
|
show_api=False,
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# quiet=True,
|
# quiet=True,
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||||||
)
|
)
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|
|||||||
@ -23,8 +23,11 @@ from .utils import load_config
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|||||||
onnxruntime.set_default_logger_severity(3)
|
onnxruntime.set_default_logger_severity(3)
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||||||
try:
|
try:
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||||||
onnxruntime.preload_dlls()
|
onnxruntime.preload_dlls()
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||||||
except:
|
except AttributeError:
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||||||
|
pass
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||||||
|
except Exception as _:
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||||||
traceback.print_exc()
|
traceback.print_exc()
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|
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||||||
warnings.filterwarnings("ignore")
|
warnings.filterwarnings("ignore")
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||||||
|
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||||||
model_version = "1.1"
|
model_version = "1.1"
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57
README.md
57
README.md
@ -1,3 +1,5 @@
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|||||||
|
#
|
||||||
|
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||||||
<div align="center">
|
<div align="center">
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||||||
|
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||||||
<h1>GPT-SoVITS-WebUI</h1>
|
<h1>GPT-SoVITS-WebUI</h1>
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@ -7,12 +9,21 @@ A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
|
|||||||
|
|
||||||
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||||
|
|
||||||
<!-- img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br> -->
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-WebUI.ipynb)
|
||||||
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-Inference.ipynb)
|
||||||
|
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
||||||
|
|
||||||
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
|
[](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e)
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
[](https://rentry.co/GPT-SoVITS-guide#/)
|
||||||
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/en/Changelog_EN.md)
|
||||||
[](https://discord.gg/dnrgs5GHfG)
|
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/releases)
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/stargazers)
|
||||||
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
||||||
|
|
||||||
|
[](https://www.python.org/downloads/)
|
||||||
|
[](https://pytorch.org/)
|
||||||
|
[](https://hub.docker.com/r/xxxxrt666/gpt-sovits)
|
||||||
|
|
||||||
**English** | [**中文简体**](./docs/cn/README.md) | [**日本語**](./docs/ja/README.md) | [**한국어**](./docs/ko/README.md) | [**Türkçe**](./docs/tr/README.md)
|
**English** | [**中文简体**](./docs/cn/README.md) | [**日本語**](./docs/ja/README.md) | [**한국어**](./docs/ko/README.md) | [**Türkçe**](./docs/tr/README.md)
|
||||||
|
|
||||||
@ -20,7 +31,7 @@ A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
|
|||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
## Features:
|
## Features
|
||||||
|
|
||||||
1. **Zero-shot TTS:** Input a 5-second vocal sample and experience instant text-to-speech conversion.
|
1. **Zero-shot TTS:** Input a 5-second vocal sample and experience instant text-to-speech conversion.
|
||||||
|
|
||||||
@ -34,13 +45,13 @@ A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
|
|||||||
|
|
||||||
Unseen speakers few-shot fine-tuning demo:
|
Unseen speakers few-shot fine-tuning demo:
|
||||||
|
|
||||||
https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
|
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
||||||
|
|
||||||
**User guide: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)**
|
<!-- **User guide: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)** -->
|
||||||
|
|
||||||
## Installation
|
## Installation
|
||||||
|
|
||||||
For users in China, you can [click here](https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS-Official) to use AutoDL Cloud Docker to experience the full functionality online.
|
For users in China, you can use [AutoDL Cloud Docker](https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS-Official) to experience the full functionality online.
|
||||||
|
|
||||||
### Tested Environments
|
### Tested Environments
|
||||||
|
|
||||||
@ -171,7 +182,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
## Pretrained Models
|
## Pretrained Models
|
||||||
|
|
||||||
**If `install.sh` runs successfully, you may skip No.1,2,3**
|
**If `install.sh` runs successfully, you may skip No.1, 2, 3**
|
||||||
|
|
||||||
**Users in China can [download all these models here](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
|
**Users in China can [download all these models here](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
|
||||||
|
|
||||||
@ -193,10 +204,8 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
The TTS annotation .list file format:
|
The TTS annotation .list file format:
|
||||||
|
|
||||||
```
|
```text
|
||||||
|
|
||||||
vocal_path|speaker_name|language|text
|
vocal_path|speaker_name|language|text
|
||||||
|
|
||||||
```
|
```
|
||||||
|
|
||||||
Language dictionary:
|
Language dictionary:
|
||||||
@ -209,10 +218,8 @@ Language dictionary:
|
|||||||
|
|
||||||
Example:
|
Example:
|
||||||
|
|
||||||
```
|
```text
|
||||||
|
|
||||||
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
||||||
|
|
||||||
```
|
```
|
||||||
|
|
||||||
## Finetune and inference
|
## Finetune and inference
|
||||||
@ -222,7 +229,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
|||||||
#### Integrated Package Users
|
#### Integrated Package Users
|
||||||
|
|
||||||
Double-click `go-webui.bat`or use `go-webui.ps1`
|
Double-click `go-webui.bat`or use `go-webui.ps1`
|
||||||
if you want to switch to V1,then double-click`go-webui-v1.bat` or use `go-webui-v1.ps1`
|
|
||||||
|
|
||||||
#### Others
|
#### Others
|
||||||
|
|
||||||
@ -230,14 +236,6 @@ if you want to switch to V1,then double-click`go-webui-v1.bat` or use `go-webui-
|
|||||||
python webui.py <language(optional)>
|
python webui.py <language(optional)>
|
||||||
```
|
```
|
||||||
|
|
||||||
if you want to switch to V1,then
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python webui.py v1 <language(optional)>
|
|
||||||
```
|
|
||||||
|
|
||||||
Or maunally switch version in WebUI
|
|
||||||
|
|
||||||
### Finetune
|
### Finetune
|
||||||
|
|
||||||
#### Path Auto-filling is now supported
|
#### Path Auto-filling is now supported
|
||||||
@ -253,7 +251,7 @@ Or maunally switch version in WebUI
|
|||||||
|
|
||||||
#### Integrated Package Users
|
#### Integrated Package Users
|
||||||
|
|
||||||
Double-click `go-webui-v2.bat` or use `go-webui-v2.ps1` ,then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`
|
Double-click `go-webui.bat` or use `go-webui.ps1` , then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`
|
||||||
|
|
||||||
#### Others
|
#### Others
|
||||||
|
|
||||||
@ -356,11 +354,6 @@ Use the command line to open the WebUI for UVR5
|
|||||||
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
||||||
```
|
```
|
||||||
|
|
||||||
<!-- If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
|
|
||||||
```
|
|
||||||
python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
|
|
||||||
``` -->
|
|
||||||
|
|
||||||
This is how the audio segmentation of the dataset is done using the command line
|
This is how the audio segmentation of the dataset is done using the command line
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
@ -435,5 +428,5 @@ Thankful to @Naozumi520 for providing the Cantonese training set and for the gui
|
|||||||
## Thanks to all contributors for their efforts
|
## Thanks to all contributors for their efforts
|
||||||
|
|
||||||
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
||||||
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" />
|
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" alt="Contributors"/>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
73
docker_build.ps1
Normal file
73
docker_build.ps1
Normal file
@ -0,0 +1,73 @@
|
|||||||
|
$ErrorActionPreference = "Stop"
|
||||||
|
|
||||||
|
$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Definition
|
||||||
|
Set-Location $ScriptDir
|
||||||
|
|
||||||
|
if (-not (Get-Command "docker" -ErrorAction SilentlyContinue)) {
|
||||||
|
Write-Host "Docker Not Found"
|
||||||
|
exit 1
|
||||||
|
}
|
||||||
|
|
||||||
|
$Lite = $false
|
||||||
|
$CudaVersion = "12.6"
|
||||||
|
|
||||||
|
function Write-Help {
|
||||||
|
Write-Host @"
|
||||||
|
Usage: powershell -File docker_build.ps1 [OPTIONS]
|
||||||
|
|
||||||
|
Options:
|
||||||
|
--cuda 12.6|12.8 Specify the CUDA VERSION (REQUIRED)
|
||||||
|
--lite Build a Lite Image
|
||||||
|
-h, --help Show this help message and exit
|
||||||
|
|
||||||
|
Examples:
|
||||||
|
powershell -File docker_build.ps1 --cuda 12.6 --lite
|
||||||
|
"@
|
||||||
|
}
|
||||||
|
|
||||||
|
if ($args.Count -eq 0) {
|
||||||
|
Write-Help
|
||||||
|
exit 0
|
||||||
|
}
|
||||||
|
|
||||||
|
for ($i = 0; $i -lt $args.Count; $i++) {
|
||||||
|
switch ($args[$i]) {
|
||||||
|
'--cuda' {
|
||||||
|
$i++
|
||||||
|
$val = $args[$i]
|
||||||
|
if ($val -ne "12.6" -and $val -ne "12.8") {
|
||||||
|
Write-Host "Error: Invalid CUDA_VERSION: $val"
|
||||||
|
Write-Host "Choose From: [12.6, 12.8]"
|
||||||
|
exit 1
|
||||||
|
}
|
||||||
|
$CudaVersion = $val
|
||||||
|
}
|
||||||
|
'--lite' {
|
||||||
|
$Lite = $true
|
||||||
|
}
|
||||||
|
'-h' { Write-Help; exit 0 }
|
||||||
|
'--help' { Write-Help; exit 0 }
|
||||||
|
default {
|
||||||
|
Write-Host "Unknown Argument: $($args[$i])"
|
||||||
|
Write-Host "Use -h or --help to see available options."
|
||||||
|
exit 1
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
$arch = (Get-CimInstance Win32_Processor).Architecture
|
||||||
|
$TargetPlatform = if ($arch -eq 9) { "linux/amd64" } else { "linux/arm64" }
|
||||||
|
|
||||||
|
if ($Lite) {
|
||||||
|
$TorchBase = "lite"
|
||||||
|
} else {
|
||||||
|
$TorchBase = "full"
|
||||||
|
}
|
||||||
|
|
||||||
|
docker build `
|
||||||
|
--build-arg CUDA_VERSION=$CudaVersion `
|
||||||
|
--build-arg LITE=$Lite `
|
||||||
|
--build-arg TARGETPLATFORM=$TargetPlatform `
|
||||||
|
--build-arg TORCH_BASE=$TorchBase `
|
||||||
|
-t "$env:USERNAME/gpt-sovits:local" `
|
||||||
|
.
|
||||||
@ -25,7 +25,7 @@ print_help() {
|
|||||||
echo " -h, --help Show this help message and exit"
|
echo " -h, --help Show this help message and exit"
|
||||||
echo ""
|
echo ""
|
||||||
echo "Examples:"
|
echo "Examples:"
|
||||||
echo " bash docker_build.sh --cuda 12.6 --funasr --faster-whisper"
|
echo " bash docker_build.sh --cuda 12.6"
|
||||||
}
|
}
|
||||||
|
|
||||||
# Show help if no arguments provided
|
# Show help if no arguments provided
|
||||||
|
|||||||
@ -1,18 +1,29 @@
|
|||||||
|
#
|
||||||
|
|
||||||
<div align="center">
|
<div align="center">
|
||||||
|
|
||||||
<h1>GPT-SoVITS-WebUI</h1>
|
<h1>GPT-SoVITS-WebUI</h1>
|
||||||
强大的少样本语音转换与语音合成Web用户界面.<br><br>
|
强大的少样本语音转换与语音合成Web用户界面. <br><br>
|
||||||
|
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
||||||
|
|
||||||
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||||
|
|
||||||
<!-- img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br> -->
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-WebUI.ipynb)
|
||||||
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-Inference.ipynb)
|
||||||
|
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
||||||
|
|
||||||
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
|
[](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e)
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
[](https://rentry.co/GPT-SoVITS-guide#/)
|
||||||
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/cn/Changelog_CN.md)
|
||||||
[](https://discord.gg/dnrgs5GHfG)
|
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/releases)
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/stargazers)
|
||||||
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
||||||
|
|
||||||
|
[](https://www.python.org/downloads/)
|
||||||
|
[](https://pytorch.org/)
|
||||||
|
[](https://hub.docker.com/r/xxxxrt666/gpt-sovits)
|
||||||
|
|
||||||
[**English**](../../README.md) | **中文简体** | [**日本語**](../ja/README.md) | [**한국어**](../ko/README.md) | [**Türkçe**](../tr/README.md)
|
[**English**](../../README.md) | **中文简体** | [**日本語**](../ja/README.md) | [**한국어**](../ko/README.md) | [**Türkçe**](../tr/README.md)
|
||||||
|
|
||||||
@ -36,7 +47,7 @@
|
|||||||
|
|
||||||
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
||||||
|
|
||||||
**用户手册: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)**
|
<!-- **用户手册: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)** -->
|
||||||
|
|
||||||
## 安装
|
## 安装
|
||||||
|
|
||||||
@ -171,7 +182,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
## 预训练模型
|
## 预训练模型
|
||||||
|
|
||||||
**若成功运行`install.sh`可跳过 No.1,2,3**
|
**若成功运行`install.sh`可跳过 No.1, 2, 3**
|
||||||
|
|
||||||
**中国地区的用户可以[在此处下载这些模型](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
|
**中国地区的用户可以[在此处下载这些模型](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
|
||||||
|
|
||||||
@ -181,19 +192,19 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
3. 对于 UVR5 (人声/伴奏分离和混响移除, 额外功能), 从 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) 下载模型, 并将其放置在 `tools/uvr5/uvr5_weights` 目录中.
|
3. 对于 UVR5 (人声/伴奏分离和混响移除, 额外功能), 从 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) 下载模型, 并将其放置在 `tools/uvr5/uvr5_weights` 目录中.
|
||||||
|
|
||||||
- 如果你在 UVR5 中使用 `bs_roformer` 或 `mel_band_roformer`模型, 你可以手动下载模型和相应的配置文件, 并将它们放在 `tools/UVR5/UVR5_weights` 中.**重命名模型文件和配置文件, 确保除后缀外**, 模型和配置文件具有相同且对应的名称.此外, 模型和配置文件名**必须包含"roformer"**, 才能被识别为 roformer 类的模型.
|
- 如果你在 UVR5 中使用 `bs_roformer` 或 `mel_band_roformer`模型, 你可以手动下载模型和相应的配置文件, 并将它们放在 `tools/UVR5/UVR5_weights` 中. **重命名模型文件和配置文件, 确保除后缀外**, 模型和配置文件具有相同且对应的名称. 此外, 模型和配置文件名**必须包含"roformer"**, 才能被识别为 roformer 类的模型.
|
||||||
|
|
||||||
- 建议在模型名称和配置文件名中**直接指定模型类型**, 例如`mel_mand_roformer`、`bs_roformer`.如果未指定, 将从配置文中比对特征, 以确定它是哪种类型的模型.例如, 模型`bs_roformer_ep_368_sdr_12.9628.ckpt` 和对应的配置文件`bs_roformer_ep_368_sdr_12.9628.yaml` 是一对.`kim_mel_band_roformer.ckpt` 和 `kim_mel_band_roformer.yaml` 也是一对.
|
- 建议在模型名称和配置文件名中**直接指定模型类型**, 例如`mel_mand_roformer`、`bs_roformer`. 如果未指定, 将从配置文中比对特征, 以确定它是哪种类型的模型. 例如, 模型`bs_roformer_ep_368_sdr_12.9628.ckpt` 和对应的配置文件`bs_roformer_ep_368_sdr_12.9628.yaml` 是一对.`kim_mel_band_roformer.ckpt` 和 `kim_mel_band_roformer.yaml` 也是一对.
|
||||||
|
|
||||||
4. 对于中文 ASR (额外功能), 从 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files) 和 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) 下载模型, 并将它们放置在 `tools/asr/models` 目录中.
|
4. 对于中文 ASR (额外功能), 从 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files) 和 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) 下载模型, 并将它们放置在 `tools/asr/models` 目录中.
|
||||||
|
|
||||||
5. 对于英语或日语 ASR (额外功能), 从 [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) 下载模型, 并将其放置在 `tools/asr/models` 目录中.此外, [其他模型](https://huggingface.co/Systran) 可能具有类似效果且占用更少的磁盘空间.
|
5. 对于英语或日语 ASR (额外功能), 从 [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) 下载模型, 并将其放置在 `tools/asr/models` 目录中. 此外, [其他模型](https://huggingface.co/Systran) 可能具有类似效果且占用更少的磁盘空间.
|
||||||
|
|
||||||
## 数据集格式
|
## 数据集格式
|
||||||
|
|
||||||
文本到语音 (TTS) 注释 .list 文件格式:
|
文本到语音 (TTS) 注释 .list 文件格式:
|
||||||
|
|
||||||
```
|
```text
|
||||||
vocal_path|speaker_name|language|text
|
vocal_path|speaker_name|language|text
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -207,7 +218,7 @@ vocal_path|speaker_name|language|text
|
|||||||
|
|
||||||
示例:
|
示例:
|
||||||
|
|
||||||
```
|
```text
|
||||||
D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神.
|
D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神.
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -218,7 +229,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神.
|
|||||||
#### 整合包用户
|
#### 整合包用户
|
||||||
|
|
||||||
双击`go-webui.bat`或者使用`go-webui.ps1`
|
双击`go-webui.bat`或者使用`go-webui.ps1`
|
||||||
若想使用 V1,则双击`go-webui-v1.bat`或者使用`go-webui-v1.ps1`
|
|
||||||
|
|
||||||
#### 其他
|
#### 其他
|
||||||
|
|
||||||
@ -226,14 +236,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神.
|
|||||||
python webui.py <language(optional)>
|
python webui.py <language(optional)>
|
||||||
```
|
```
|
||||||
|
|
||||||
若想使用 V1,则
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python webui.py v1 <language(optional)>
|
|
||||||
```
|
|
||||||
|
|
||||||
或者在 webUI 内动态切换
|
|
||||||
|
|
||||||
### 微调
|
### 微调
|
||||||
|
|
||||||
#### 现已支持自动填充路径
|
#### 现已支持自动填充路径
|
||||||
@ -243,13 +245,13 @@ python webui.py v1 <language(optional)>
|
|||||||
3. 进行降噪(可选)
|
3. 进行降噪(可选)
|
||||||
4. 进行 ASR
|
4. 进行 ASR
|
||||||
5. 校对标注
|
5. 校对标注
|
||||||
6. 前往下一个窗口,点击训练
|
6. 前往下一个窗口, 点击训练
|
||||||
|
|
||||||
### 打开推理 WebUI
|
### 打开推理 WebUI
|
||||||
|
|
||||||
#### 整合包用户
|
#### 整合包用户
|
||||||
|
|
||||||
双击 `go-webui.bat` 或者使用 `go-webui.ps1` ,然后在 `1-GPT-SoVITS-TTS/1C-推理` 中打开推理 webUI
|
双击 `go-webui.bat` 或者使用 `go-webui.ps1` , 然后在 `1-GPT-SoVITS-TTS/1C-推理` 中打开推理 webUI
|
||||||
|
|
||||||
#### 其他
|
#### 其他
|
||||||
|
|
||||||
@ -287,7 +289,7 @@ python webui.py
|
|||||||
|
|
||||||
3. 需要从[huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained) 下载预训练模型文件放到 GPT_SoVITS/pretrained_models/gsv-v2final-pretrained 下
|
3. 需要从[huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained) 下载预训练模型文件放到 GPT_SoVITS/pretrained_models/gsv-v2final-pretrained 下
|
||||||
|
|
||||||
中文额外需要下载[G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (下载 G2PW 模型,解压并重命名为`G2PWModel`,将其放到`GPT_SoVITS/text`目录下)
|
中文额外需要下载[G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (下载 G2PW 模型, 解压并重命名为`G2PWModel`, 将其放到`GPT_SoVITS/text`目录下)
|
||||||
|
|
||||||
## V3 更新说明
|
## V3 更新说明
|
||||||
|
|
||||||
@ -416,5 +418,5 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
|
|||||||
## 感谢所有贡献者的努力
|
## 感谢所有贡献者的努力
|
||||||
|
|
||||||
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
||||||
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" />
|
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" alt="Contributors"/>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
@ -1,16 +1,27 @@
|
|||||||
|
#
|
||||||
|
|
||||||
<div align="center">
|
<div align="center">
|
||||||
|
|
||||||
<h1>GPT-SoVITS-WebUI</h1>
|
<h1>GPT-SoVITS-WebUI</h1>
|
||||||
パワフルなFew-Shot音声変換・音声合成 WebUI.<br><br>
|
パワフルなFew-Shot音声変換・音声合成 WebUI. <br><br>
|
||||||
|
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
||||||
|
|
||||||
<img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br>
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-WebUI.ipynb)
|
||||||
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-Inference.ipynb)
|
||||||
|
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
||||||
|
|
||||||
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
|
[](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e)
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
[](https://rentry.co/GPT-SoVITS-guide#/)
|
||||||
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/ja/Changelog_JA.md)
|
||||||
[](https://discord.gg/dnrgs5GHfG)
|
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/releases)
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/stargazers)
|
||||||
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
||||||
|
|
||||||
|
[](https://www.python.org/downloads/)
|
||||||
|
[](https://pytorch.org/)
|
||||||
|
[](https://hub.docker.com/r/xxxxrt666/gpt-sovits)
|
||||||
|
|
||||||
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | **日本語** | [**한국어**](../ko/README.md) | [**Türkçe**](../tr/README.md)
|
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | **日本語** | [**한국어**](../ko/README.md) | [**Türkçe**](../tr/README.md)
|
||||||
|
|
||||||
@ -18,7 +29,7 @@
|
|||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
## 機能:
|
## 機能
|
||||||
|
|
||||||
1. **Zero-Shot TTS:** たった 5 秒間の音声サンプルで、即座にテキストからその音声に変換できます.
|
1. **Zero-Shot TTS:** たった 5 秒間の音声サンプルで、即座にテキストからその音声に変換できます.
|
||||||
|
|
||||||
@ -32,9 +43,9 @@
|
|||||||
|
|
||||||
声の事前学習無しかつ Few-Shot でトレーニングされたモデルのデモ:
|
声の事前学習無しかつ Few-Shot でトレーニングされたモデルのデモ:
|
||||||
|
|
||||||
https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
|
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
||||||
|
|
||||||
**ユーザーマニュアル: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)**
|
<!-- **ユーザーマニュアル: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)** -->
|
||||||
|
|
||||||
## インストール
|
## インストール
|
||||||
|
|
||||||
@ -165,7 +176,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
## 事前訓練済みモデル
|
## 事前訓練済みモデル
|
||||||
|
|
||||||
**`install.sh`が正常に実行された場合、No.1,2,3 はスキップしてかまいません.**
|
**`install.sh`が正常に実行された場合、No.1, 2, 3 はスキップしてかまいません.**
|
||||||
|
|
||||||
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) から事前訓練済みモデルをダウンロードし、`GPT_SoVITS/pretrained_models` ディレクトリに配置してください.
|
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) から事前訓練済みモデルをダウンロードし、`GPT_SoVITS/pretrained_models` ディレクトリに配置してください.
|
||||||
|
|
||||||
@ -173,19 +184,19 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
3. UVR5 (ボーカル/伴奏 (BGM 等) 分離 & リバーブ除去の追加機能) の場合は、[UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) からモデルをダウンロードし、`tools/uvr5/uvr5_weights` ディレクトリに配置してください.
|
3. UVR5 (ボーカル/伴奏 (BGM 等) 分離 & リバーブ除去の追加機能) の場合は、[UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) からモデルをダウンロードし、`tools/uvr5/uvr5_weights` ディレクトリに配置してください.
|
||||||
|
|
||||||
- UVR5 で bs_roformer または mel_band_roformer モデルを使用する場合、モデルと対応する設定ファイルを手動でダウンロードし、`tools/UVR5/UVR5_weights`フォルダに配置することができます.**モデルファイルと設定ファイルの名前は、拡張子を除いて同じであることを確認してください**.さらに、モデルと設定ファイルの名前には**「roformer」が含まれている必要があります**.これにより、roformer クラスのモデルとして認識されます.
|
- UVR5 で bs_roformer または mel_band_roformer モデルを使用する場合、モデルと対応する設定ファイルを手動でダウンロードし、`tools/UVR5/UVR5_weights`フォルダに配置することができます. **モデルファイルと設定ファイルの名前は、拡張子を除いて同じであることを確認してください**. さらに、モデルと設定ファイルの名前には**「roformer」が含まれている必要があります**. これにより、roformer クラスのモデルとして認識されます.
|
||||||
|
|
||||||
- モデル名と設定ファイル名には、**直接モデルタイプを指定することをお勧めします**.例: mel_mand_roformer、bs_roformer.指定しない場合、設定文から特徴を照合して、モデルの種類を特定します.例えば、モデル`bs_roformer_ep_368_sdr_12.9628.ckpt`と対応する設定ファイル`bs_roformer_ep_368_sdr_12.9628.yaml`はペアです.同様に、`kim_mel_band_roformer.ckpt`と`kim_mel_band_roformer.yaml`もペアです.
|
- モデル名と設定ファイル名には、**直接モデルタイプを指定することをお勧めします**. 例: mel_mand_roformer、bs_roformer. 指定しない場合、設定文から特徴を照合して、モデルの種類を特定します. 例えば、モデル`bs_roformer_ep_368_sdr_12.9628.ckpt`と対応する設定ファイル`bs_roformer_ep_368_sdr_12.9628.yaml`はペアです. 同様に、`kim_mel_band_roformer.ckpt`と`kim_mel_band_roformer.yaml`もペアです.
|
||||||
|
|
||||||
4. 中国語 ASR (追加機能) の場合は、[Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files)、および [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) からモデルをダウンロードし、`tools/asr/models` ディレクトリに配置してください.
|
4. 中国語 ASR (追加機能) の場合は、[Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files)、および [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) からモデルをダウンロードし、`tools/asr/models` ディレクトリに配置してください.
|
||||||
|
|
||||||
5. 英語または日本語の ASR (追加機能) を使用する場合は、[Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) からモデルをダウンロードし、`tools/asr/models` ディレクトリに配置してください.また、[他のモデル](https://huggingface.co/Systran) は、より小さいサイズで高クオリティな可能性があります.
|
5. 英語または日本語の ASR (追加機能) を使用する場合は、[Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) からモデルをダウンロードし、`tools/asr/models` ディレクトリに配置してください. また、[他のモデル](https://huggingface.co/Systran) は、より小さいサイズで高クオリティな可能性があります.
|
||||||
|
|
||||||
## データセット形式
|
## データセット形式
|
||||||
|
|
||||||
TTS アノテーション .list ファイル形式:
|
TTS アノテーション .list ファイル形式:
|
||||||
|
|
||||||
```
|
```text
|
||||||
vocal_path|speaker_name|language|text
|
vocal_path|speaker_name|language|text
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -197,7 +208,7 @@ vocal_path|speaker_name|language|text
|
|||||||
|
|
||||||
例:
|
例:
|
||||||
|
|
||||||
```
|
```text
|
||||||
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -208,7 +219,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
|||||||
#### 統合パッケージ利用者
|
#### 統合パッケージ利用者
|
||||||
|
|
||||||
`go-webui.bat`をダブルクリックするか、`go-webui.ps1`を使用します.
|
`go-webui.bat`をダブルクリックするか、`go-webui.ps1`を使用します.
|
||||||
V1 に切り替えたい場合は、`go-webui-v1.bat`をダブルクリックするか、`go-webui-v1.ps1`を使用してください.
|
|
||||||
|
|
||||||
#### その他
|
#### その他
|
||||||
|
|
||||||
@ -216,14 +226,6 @@ V1 に切り替えたい場合は、`go-webui-v1.bat`をダブルクリックす
|
|||||||
python webui.py <言語(オプション)>
|
python webui.py <言語(オプション)>
|
||||||
```
|
```
|
||||||
|
|
||||||
V1 に切り替えたい場合は
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python webui.py v1 <言語(オプション)>
|
|
||||||
```
|
|
||||||
|
|
||||||
または WebUI で手動でバージョンを切り替えてください.
|
|
||||||
|
|
||||||
### 微調整
|
### 微調整
|
||||||
|
|
||||||
#### パス自動補完のサポート
|
#### パス自動補完のサポート
|
||||||
@ -239,7 +241,7 @@ python webui.py v1 <言語(オプション)>
|
|||||||
|
|
||||||
#### 統合パッケージ利用者
|
#### 統合パッケージ利用者
|
||||||
|
|
||||||
`go-webui-v2.bat`をダブルクリックするか、`go-webui-v2.ps1`を使用して、`1-GPT-SoVITS-TTS/1C-inference`で推論 webui を開きます.
|
`go-webui.bat`をダブルクリックするか、`go-webui.ps1`を使用して、`1-GPT-SoVITS-TTS/1C-inference`で推論 webui を開きます.
|
||||||
|
|
||||||
#### その他
|
#### その他
|
||||||
|
|
||||||
@ -327,11 +329,6 @@ v2 環境から v3 を使用する方法:
|
|||||||
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
||||||
```
|
```
|
||||||
|
|
||||||
<!-- ブラウザを開けない場合は、以下の形式に従って UVR 処理を行ってください.これはオーディオ処理に mdxnet を使用しています.
|
|
||||||
```
|
|
||||||
python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
|
|
||||||
``` -->
|
|
||||||
|
|
||||||
コマンド ラインを使用してデータセットのオーディオ セグメンテーションを行う方法は次のとおりです.
|
コマンド ラインを使用してデータセットのオーディオ セグメンテーションを行う方法は次のとおりです.
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
@ -352,7 +349,7 @@ python tools/asr/funasr_asr.py -i <input> -o <output>
|
|||||||
|
|
||||||
ASR 処理は Faster_Whisper を通じて実行されます(中国語を除く ASR マーキング)
|
ASR 処理は Faster_Whisper を通じて実行されます(中国語を除く ASR マーキング)
|
||||||
|
|
||||||
(進行状況バーは表示されません.GPU のパフォーマンスにより時間遅延が発生する可能性があります)
|
(進行状況バーは表示されません. GPU のパフォーマンスにより時間遅延が発生する可能性があります)
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
|
python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
|
||||||
@ -406,5 +403,5 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
|
|||||||
## すべてのコントリビューターに感謝します
|
## すべてのコントリビューターに感謝します
|
||||||
|
|
||||||
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
||||||
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" />
|
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" alt="Contributors"/>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
@ -1,3 +1,5 @@
|
|||||||
|
#
|
||||||
|
|
||||||
<div align="center">
|
<div align="center">
|
||||||
|
|
||||||
<h1>GPT-SoVITS-WebUI</h1>
|
<h1>GPT-SoVITS-WebUI</h1>
|
||||||
@ -5,12 +7,21 @@
|
|||||||
|
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
[](https://github.com/RVC-Boss/GPT-SoVITS)
|
||||||
|
|
||||||
<img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br>
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-WebUI.ipynb)
|
||||||
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-Inference.ipynb)
|
||||||
|
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
||||||
|
|
||||||
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
|
[](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e)
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
[](https://rentry.co/GPT-SoVITS-guide#/)
|
||||||
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/ko/Changelog_KO.md)
|
||||||
[](https://discord.gg/dnrgs5GHfG)
|
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/releases)
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/stargazers)
|
||||||
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
||||||
|
|
||||||
|
[](https://www.python.org/downloads/)
|
||||||
|
[](https://pytorch.org/)
|
||||||
|
[](https://hub.docker.com/r/xxxxrt666/gpt-sovits)
|
||||||
|
|
||||||
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | [**日本語**](../ja/README.md) | **한국어** | [**Türkçe**](../tr/README.md)
|
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | [**日本語**](../ja/README.md) | **한국어** | [**Türkçe**](../tr/README.md)
|
||||||
|
|
||||||
@ -18,7 +29,7 @@
|
|||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
## 기능:
|
## 기능
|
||||||
|
|
||||||
1. **제로샷 텍스트 음성 변환 (TTS):** 5초의 음성 샘플을 입력하면 즉시 텍스트를 음성으로 변환할 수 있습니다.
|
1. **제로샷 텍스트 음성 변환 (TTS):** 5초의 음성 샘플을 입력하면 즉시 텍스트를 음성으로 변환할 수 있습니다.
|
||||||
|
|
||||||
@ -32,9 +43,9 @@
|
|||||||
|
|
||||||
보지 못한 발화자의 퓨샷(few-shot) 파인튜닝 데모:
|
보지 못한 발화자의 퓨샷(few-shot) 파인튜닝 데모:
|
||||||
|
|
||||||
https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
|
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
||||||
|
|
||||||
**사용자 설명서: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)**
|
<!-- **사용자 설명서: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)** -->
|
||||||
|
|
||||||
## 설치
|
## 설치
|
||||||
|
|
||||||
@ -165,7 +176,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
## 사전 학습된 모델
|
## 사전 학습된 모델
|
||||||
|
|
||||||
**`install.sh`가 성공적으로 실행되면 No.1,2,3 은 건너뛰어도 됩니다.**
|
**`install.sh`가 성공적으로 실행되면 No.1, 2, 3 은 건너뛰어도 됩니다.**
|
||||||
|
|
||||||
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 에서 사전 학습된 모델을 다운로드하고, `GPT_SoVITS/pretrained_models` 디렉토리에 배치하세요.
|
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 에서 사전 학습된 모델을 다운로드하고, `GPT_SoVITS/pretrained_models` 디렉토리에 배치하세요.
|
||||||
|
|
||||||
@ -185,7 +196,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
텍스트 음성 합성(TTS) 주석 .list 파일 형식:
|
텍스트 음성 합성(TTS) 주석 .list 파일 형식:
|
||||||
|
|
||||||
```
|
```text
|
||||||
vocal_path|speaker_name|language|text
|
vocal_path|speaker_name|language|text
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -197,7 +208,7 @@ vocal_path|speaker_name|language|text
|
|||||||
|
|
||||||
예시:
|
예시:
|
||||||
|
|
||||||
```
|
```text
|
||||||
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -208,7 +219,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
|||||||
#### 통합 패키지 사용자
|
#### 통합 패키지 사용자
|
||||||
|
|
||||||
`go-webui.bat`을 더블 클릭하거나 `go-webui.ps1`를 사용하십시오.
|
`go-webui.bat`을 더블 클릭하거나 `go-webui.ps1`를 사용하십시오.
|
||||||
V1으로 전환하려면, `go-webui-v1.bat`을 더블 클릭하거나 `go-webui-v1.ps1`를 사용하십시오.
|
|
||||||
|
|
||||||
#### 기타
|
#### 기타
|
||||||
|
|
||||||
@ -216,14 +226,6 @@ V1으로 전환하려면, `go-webui-v1.bat`을 더블 클릭하거나 `go-webui-
|
|||||||
python webui.py <언어(옵션)>
|
python webui.py <언어(옵션)>
|
||||||
```
|
```
|
||||||
|
|
||||||
V1으로 전환하려면,
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python webui.py v1 <언어(옵션)>
|
|
||||||
```
|
|
||||||
|
|
||||||
또는 WebUI에서 수동으로 버전을 전환하십시오.
|
|
||||||
|
|
||||||
### 미세 조정
|
### 미세 조정
|
||||||
|
|
||||||
#### 경로 자동 채우기가 지원됩니다
|
#### 경로 자동 채우기가 지원됩니다
|
||||||
@ -239,7 +241,7 @@ python webui.py v1 <언어(옵션)>
|
|||||||
|
|
||||||
#### 통합 패키지 사용자
|
#### 통합 패키지 사용자
|
||||||
|
|
||||||
`go-webui-v2.bat`을 더블 클릭하거나 `go-webui-v2.ps1`를 사용한 다음 `1-GPT-SoVITS-TTS/1C-inference`에서 추론 webui를 엽니다.
|
`go-webui.bat`을 더블 클릭하거나 `go-webui.ps1`를 사용한 다음 `1-GPT-SoVITS-TTS/1C-inference`에서 추론 webui를 엽니다.
|
||||||
|
|
||||||
#### 기타
|
#### 기타
|
||||||
|
|
||||||
@ -277,13 +279,13 @@ V1 환경에서 V2를 사용하려면:
|
|||||||
|
|
||||||
3. [huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained)에서 V2 사전 학습 모델을 다운로드하여 `GPT_SoVITS/pretrained_models/gsv-v2final-pretrained`에 넣으십시오.
|
3. [huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained)에서 V2 사전 학습 모델을 다운로드하여 `GPT_SoVITS/pretrained_models/gsv-v2final-pretrained`에 넣으십시오.
|
||||||
|
|
||||||
중국어 V2 추가: [G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (G2PW 모델을 다운로드하여 압축을 풀고 `G2PWModel`로 이름을 변경한 다음 `GPT_SoVITS/text`에 배치합니다.)
|
중국어 V2 추가: [G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (G2PW 모델을 다운로드하여 압축을 풀고 `G2PWModel`로 이름을 변경한 다음 `GPT_SoVITS/text`에 배치합니다)
|
||||||
|
|
||||||
## V3 릴리스 노트
|
## V3 릴리스 노트
|
||||||
|
|
||||||
새로운 기능:
|
새로운 기능:
|
||||||
|
|
||||||
1. 음색 유사성이 더 높아져 목표 음성에 대한 학습 데이터가 적게 필요합니다. (기본 모델을 직접 사용하여 미세 조정 없이 음색 유사성이 크게 향상됩니다.)
|
1. 음색 유사성이 더 높아져 목표 음성에 대한 학습 데이터가 적게 필요합니다. (기본 모델을 직접 사용하여 미세 조정 없이 음색 유사성이 크게 향상됩니다)
|
||||||
|
|
||||||
2. GPT 모델이 더 안정적이며 반복 및 생략이 적고, 더 풍부한 감정 표현을 가진 음성을 생성하기가 더 쉽습니다.
|
2. GPT 모델이 더 안정적이며 반복 및 생략이 적고, 더 풍부한 감정 표현을 가진 음성을 생성하기가 더 쉽습니다.
|
||||||
|
|
||||||
@ -404,8 +406,8 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
|
|||||||
|
|
||||||
@Naozumi520 님께 감사드립니다. 광둥어 학습 자료를 제공해 주시고, 광둥어 관련 지식을 지도해 주셔서 감사합니다.
|
@Naozumi520 님께 감사드립니다. 광둥어 학습 자료를 제공해 주시고, 광둥어 관련 지식을 지도해 주셔서 감사합니다.
|
||||||
|
|
||||||
## 모든 기여자들에게 감사드립니다 ;)
|
## 모든 기여자들에게 감사드립니다
|
||||||
|
|
||||||
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
||||||
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" />
|
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" alt="Contributors"/>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
@ -1,3 +1,5 @@
|
|||||||
|
#
|
||||||
|
|
||||||
<div align="center">
|
<div align="center">
|
||||||
|
|
||||||
<h1>GPT-SoVITS-WebUI</h1>
|
<h1>GPT-SoVITS-WebUI</h1>
|
||||||
@ -7,12 +9,21 @@ Güçlü Birkaç Örnekli Ses Dönüştürme ve Metinden Konuşmaya Web Arayüz
|
|||||||
|
|
||||||
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
<a href="https://trendshift.io/repositories/7033" target="_blank"><img src="https://trendshift.io/api/badge/repositories/7033" alt="RVC-Boss%2FGPT-SoVITS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||||
|
|
||||||
<!-- img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br> -->
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-WebUI.ipynb)
|
||||||
|
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/Colab-Inference.ipynb)
|
||||||
|
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
||||||
|
|
||||||
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
|
[](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e)
|
||||||
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
[](https://rentry.co/GPT-SoVITS-guide#/)
|
||||||
[](https://huggingface.co/spaces/lj1995/GPT-SoVITS-v2)
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/docs/tr/Changelog_TR.md)
|
||||||
[](https://discord.gg/dnrgs5GHfG)
|
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/releases)
|
||||||
|
[](https://github.com/RVC-Boss/gpt-sovits/stargazers)
|
||||||
|
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
|
||||||
|
|
||||||
|
[](https://www.python.org/downloads/)
|
||||||
|
[](https://pytorch.org/)
|
||||||
|
[](https://hub.docker.com/r/xxxxrt666/gpt-sovits)
|
||||||
|
|
||||||
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | [**日本語**](../ja/README.md) | [**한국어**](../ko/README.md) | **Türkçe**
|
[**English**](../../README.md) | [**中文简体**](../cn/README.md) | [**日本語**](../ja/README.md) | [**한국어**](../ko/README.md) | **Türkçe**
|
||||||
|
|
||||||
@ -20,7 +31,7 @@ Güçlü Birkaç Örnekli Ses Dönüştürme ve Metinden Konuşmaya Web Arayüz
|
|||||||
|
|
||||||
---
|
---
|
||||||
|
|
||||||
## Özellikler:
|
## Özellikler
|
||||||
|
|
||||||
1. **Sıfır Örnekli Metinden Konuşmaya:** 5 saniyelik bir vokal örneği girin ve anında metinden konuşmaya dönüşümünü deneyimleyin.
|
1. **Sıfır Örnekli Metinden Konuşmaya:** 5 saniyelik bir vokal örneği girin ve anında metinden konuşmaya dönüşümünü deneyimleyin.
|
||||||
|
|
||||||
@ -34,9 +45,9 @@ Güçlü Birkaç Örnekli Ses Dönüştürme ve Metinden Konuşmaya Web Arayüz
|
|||||||
|
|
||||||
Görünmeyen konuşmacılar birkaç örnekli ince ayar demosu:
|
Görünmeyen konuşmacılar birkaç örnekli ince ayar demosu:
|
||||||
|
|
||||||
https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
|
<https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb>
|
||||||
|
|
||||||
**Kullanıcı Kılavuzu: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)**
|
<!-- **Kullanıcı Kılavuzu: [简体中文](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e) | [English](https://rentry.co/GPT-SoVITS-guide#/)** -->
|
||||||
|
|
||||||
## Kurulum
|
## Kurulum
|
||||||
|
|
||||||
@ -167,7 +178,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
## Önceden Eğitilmiş Modeller
|
## Önceden Eğitilmiş Modeller
|
||||||
|
|
||||||
**Eğer `install.sh` başarıyla çalıştırılırsa, No.1,2,3 adımını atlayabilirsiniz.**
|
**Eğer `install.sh` başarıyla çalıştırılırsa, No.1, 2, 3 adımını atlayabilirsiniz.**
|
||||||
|
|
||||||
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) üzerinden önceden eğitilmiş modelleri indirip `GPT_SoVITS/pretrained_models` dizinine yerleştirin.
|
1. [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) üzerinden önceden eğitilmiş modelleri indirip `GPT_SoVITS/pretrained_models` dizinine yerleştirin.
|
||||||
|
|
||||||
@ -187,7 +198,7 @@ docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GP
|
|||||||
|
|
||||||
TTS açıklama .list dosya formatı:
|
TTS açıklama .list dosya formatı:
|
||||||
|
|
||||||
```
|
```text
|
||||||
vocal_path|speaker_name|language|text
|
vocal_path|speaker_name|language|text
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -201,7 +212,7 @@ Dil sözlüğü:
|
|||||||
|
|
||||||
Örnek:
|
Örnek:
|
||||||
|
|
||||||
```
|
```text
|
||||||
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
||||||
```
|
```
|
||||||
|
|
||||||
@ -212,7 +223,6 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
|
|||||||
#### Entegre Paket Kullanıcıları
|
#### Entegre Paket Kullanıcıları
|
||||||
|
|
||||||
`go-webui.bat` dosyasına çift tıklayın veya `go-webui.ps1` kullanın.
|
`go-webui.bat` dosyasına çift tıklayın veya `go-webui.ps1` kullanın.
|
||||||
V1'e geçmek istiyorsanız, `go-webui-v1.bat` dosyasına çift tıklayın veya `go-webui-v1.ps1` kullanın.
|
|
||||||
|
|
||||||
#### Diğerleri
|
#### Diğerleri
|
||||||
|
|
||||||
@ -220,14 +230,6 @@ V1'e geçmek istiyorsanız, `go-webui-v1.bat` dosyasına çift tıklayın veya `
|
|||||||
python webui.py <dil(isteğe bağlı)>
|
python webui.py <dil(isteğe bağlı)>
|
||||||
```
|
```
|
||||||
|
|
||||||
V1'e geçmek istiyorsanız,
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python webui.py v1 <dil(isteğe bağlı)>
|
|
||||||
```
|
|
||||||
|
|
||||||
veya WebUI'de manuel olarak sürüm değiştirin.
|
|
||||||
|
|
||||||
### İnce Ayar
|
### İnce Ayar
|
||||||
|
|
||||||
#### Yol Otomatik Doldurma artık destekleniyor
|
#### Yol Otomatik Doldurma artık destekleniyor
|
||||||
@ -243,7 +245,7 @@ veya WebUI'de manuel olarak sürüm değiştirin.
|
|||||||
|
|
||||||
#### Entegre Paket Kullanıcıları
|
#### Entegre Paket Kullanıcıları
|
||||||
|
|
||||||
`go-webui-v2.bat` dosyasına çift tıklayın veya `go-webui-v2.ps1` kullanın, ardından çıkarım webui'sini `1-GPT-SoVITS-TTS/1C-inference` adresinde açın.
|
`go-webui.bat` dosyasına çift tıklayın veya `go-webui.ps1` kullanın, ardından çıkarım webui'sini `1-GPT-SoVITS-TTS/1C-inference` adresinde açın.
|
||||||
|
|
||||||
#### Diğerleri
|
#### Diğerleri
|
||||||
|
|
||||||
@ -281,11 +283,11 @@ V1 ortamından V2'yi kullanmak için:
|
|||||||
|
|
||||||
3. [huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained) adresinden v2 önceden eğitilmiş modelleri indirin ve bunları `GPT_SoVITS/pretrained_models/gsv-v2final-pretrained` dizinine yerleştirin.
|
3. [huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained) adresinden v2 önceden eğitilmiş modelleri indirin ve bunları `GPT_SoVITS/pretrained_models/gsv-v2final-pretrained` dizinine yerleştirin.
|
||||||
|
|
||||||
Ek olarak Çince V2: [G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (G2PW modellerini indirip, zipten çıkarıp, `G2PWModel` olarak yeniden adlandırıp `GPT_SoVITS/text` dizinine yerleştirin.)
|
Ek olarak Çince V2: [G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (G2PW modellerini indirip, zipten çıkarıp, `G2PWModel` olarak yeniden adlandırıp `GPT_SoVITS/text` dizinine yerleştirin)
|
||||||
|
|
||||||
## V3 Sürüm Notları
|
## V3 Sürüm Notları
|
||||||
|
|
||||||
### Yeni Özellikler:
|
### Yeni Özellikler
|
||||||
|
|
||||||
1. **Tını benzerliği** daha yüksek olup, hedef konuşmacıyı yakınsamak için daha az eğitim verisi gerekmektedir (tını benzerliği, base model doğrudan kullanılacak şekilde fine-tuning yapılmadan önemli ölçüde iyileştirilmiştir).
|
1. **Tını benzerliği** daha yüksek olup, hedef konuşmacıyı yakınsamak için daha az eğitim verisi gerekmektedir (tını benzerliği, base model doğrudan kullanılacak şekilde fine-tuning yapılmadan önemli ölçüde iyileştirilmiştir).
|
||||||
|
|
||||||
@ -293,7 +295,7 @@ V1 ortamından V2'yi kullanmak için:
|
|||||||
|
|
||||||
[daha fazla detay](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v3%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)
|
[daha fazla detay](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v3%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)
|
||||||
|
|
||||||
### v2 ortamında v3 kullanımı:
|
### v2 ortamında v3 kullanımı
|
||||||
|
|
||||||
1. `pip install -r requirements.txt` ile bazı paketleri güncelleyin.
|
1. `pip install -r requirements.txt` ile bazı paketleri güncelleyin.
|
||||||
|
|
||||||
@ -331,11 +333,6 @@ UVR5 için Web Arayüzünü açmak için komut satırını kullanın
|
|||||||
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
|
||||||
```
|
```
|
||||||
|
|
||||||
<!-- Bir tarayıcı açamıyorsanız, UVR işleme için aşağıdaki formatı izleyin,Bu ses işleme için mdxnet kullanıyor
|
|
||||||
```
|
|
||||||
python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
|
|
||||||
``` -->
|
|
||||||
|
|
||||||
Veri setinin ses segmentasyonu komut satırı kullanılarak bu şekilde yapılır
|
Veri setinin ses segmentasyonu komut satırı kullanılarak bu şekilde yapılır
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
@ -410,5 +407,5 @@ python ./tools/asr/fasterwhisper_asr.py -i <girdi> -o <çıktı> -l <dil>
|
|||||||
## Tüm katkıda bulunanlara çabaları için teşekkürler
|
## Tüm katkıda bulunanlara çabaları için teşekkürler
|
||||||
|
|
||||||
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
<a href="https://github.com/RVC-Boss/GPT-SoVITS/graphs/contributors" target="_blank">
|
||||||
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" />
|
<img src="https://contrib.rocks/image?repo=RVC-Boss/GPT-SoVITS" alt="Contributors"/>
|
||||||
</a>
|
</a>
|
||||||
|
|||||||
@ -34,8 +34,8 @@ print_help() {
|
|||||||
echo " -h, --help Show this help message and exit"
|
echo " -h, --help Show this help message and exit"
|
||||||
echo ""
|
echo ""
|
||||||
echo "Examples:"
|
echo "Examples:"
|
||||||
echo " bash install.sh --source HF --download-uvr5"
|
echo " bash install.sh --device CU128 --source HF --download-uvr5"
|
||||||
echo " bash install.sh --source ModelScope"
|
echo " bash install.sh --device MPS --source ModelScope"
|
||||||
}
|
}
|
||||||
|
|
||||||
# Show help if no arguments provided
|
# Show help if no arguments provided
|
||||||
@ -149,7 +149,6 @@ else
|
|||||||
echo "Installing，Please Wait..."
|
echo "Installing，Please Wait..."
|
||||||
fi
|
fi
|
||||||
done
|
done
|
||||||
conda install -c conda-forge -q -y
|
|
||||||
fi
|
fi
|
||||||
|
|
||||||
echo "Installing ffmpeg and cmake..."
|
echo "Installing ffmpeg and cmake..."
|
||||||
|
|||||||
@ -8,7 +8,7 @@ pytorch-lightning>=2.4
|
|||||||
gradio<5
|
gradio<5
|
||||||
ffmpeg-python
|
ffmpeg-python
|
||||||
onnxruntime; platform_machine == "aarch64" or platform_machine == "arm64"
|
onnxruntime; platform_machine == "aarch64" or platform_machine == "arm64"
|
||||||
onnxruntime-gpu; platform_machine == "x86_64" or platform_machine == "AMD64"
|
onnxruntime-gpu; platform_machine == "x86_64" or platform_machine == "amd64"
|
||||||
tqdm
|
tqdm
|
||||||
funasr==1.0.27
|
funasr==1.0.27
|
||||||
cn2an
|
cn2an
|
||||||
|
|||||||
544
tools/subfix.py
Normal file
544
tools/subfix.py
Normal file
@ -0,0 +1,544 @@
|
|||||||
|
import datetime
|
||||||
|
import os
|
||||||
|
import threading
|
||||||
|
import traceback
|
||||||
|
from dataclasses import dataclass
|
||||||
|
from functools import partial
|
||||||
|
from typing import List
|
||||||
|
|
||||||
|
import click
|
||||||
|
import gradio as gr
|
||||||
|
import librosa
|
||||||
|
import numpy as np
|
||||||
|
import soundfile
|
||||||
|
from gradio.components.audio import WaveformOptions
|
||||||
|
|
||||||
|
from tools.i18n.i18n import I18nAuto
|
||||||
|
|
||||||
|
PARTIAL_EXIT = partial(os._exit, 0)
|
||||||
|
|
||||||
|
LANGUAGE_MAP: dict = {
|
||||||
|
"ZH": "ZH",
|
||||||
|
"zh": "ZH",
|
||||||
|
"JP": "JA",
|
||||||
|
"jp": "JA",
|
||||||
|
"JA": "JA",
|
||||||
|
"ja": "JA",
|
||||||
|
"EN": "EN",
|
||||||
|
"en": "EN",
|
||||||
|
"KO": "KO",
|
||||||
|
"ko": "KO",
|
||||||
|
"yue": "YUE",
|
||||||
|
"YUE": "YUE",
|
||||||
|
}
|
||||||
|
|
||||||
|
LOCK = threading.Lock()
|
||||||
|
|
||||||
|
IS_CLI = True
|
||||||
|
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class SubfixErr:
|
||||||
|
error: Exception
|
||||||
|
tracebacks: str
|
||||||
|
|
||||||
|
|
||||||
|
class Subfix:
|
||||||
|
batch_size: int = 2
|
||||||
|
cur_idx: int = 0
|
||||||
|
list_path: str
|
||||||
|
textboxes: List[gr.Textbox] = []
|
||||||
|
audios: List[gr.Audio] = []
|
||||||
|
languages: List[gr.Dropdown] = []
|
||||||
|
selections: List[gr.Checkbox] = []
|
||||||
|
transcriptions_list: List[List[str]] = []
|
||||||
|
|
||||||
|
merge_audio_button: gr.Button
|
||||||
|
delete_audio_button: gr.Button
|
||||||
|
previous_index_button1: gr.Button
|
||||||
|
next_index_button1: gr.Button
|
||||||
|
previous_index_button2: gr.Button
|
||||||
|
next_index_button2: gr.Button
|
||||||
|
index_slider: gr.Slider
|
||||||
|
batch_size_slider: gr.Slider
|
||||||
|
close_button: gr.Button
|
||||||
|
|
||||||
|
def __init__(self, i18n: I18nAuto):
|
||||||
|
self.i18n = i18n
|
||||||
|
with gr.Row(equal_height=True):
|
||||||
|
with gr.Column(scale=2, min_width=160):
|
||||||
|
self.index_slider = gr.Slider(minimum=0, maximum=1, step=1, label=i18n("音频索引"))
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.previous_index_button1 = gr.Button(value=i18n("上一页"), elem_id="btn_previous")
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.next_index_button1 = gr.Button(value=i18n("下一页"), elem_id="btn_next")
|
||||||
|
with gr.Row(equal_height=True):
|
||||||
|
with gr.Column(scale=2, min_width=160):
|
||||||
|
self.batch_size_slider = gr.Slider(
|
||||||
|
minimum=4, maximum=20, step=2, value=self.batch_size, label=i18n("每页音频条数")
|
||||||
|
)
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.merge_audio_button = gr.Button(value=i18n("合并选中音频"))
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.delete_audio_button = gr.Button(value=i18n("删除选中音频"))
|
||||||
|
gr.render(
|
||||||
|
inputs=[self.index_slider, self.batch_size_slider],
|
||||||
|
triggers=[self.batch_size_slider.change],
|
||||||
|
)(self._render_text_area)
|
||||||
|
|
||||||
|
@property
|
||||||
|
def max_index(self):
|
||||||
|
return len(self.transcriptions_list) - 1
|
||||||
|
|
||||||
|
def load_list(self, list_path: str):
|
||||||
|
with open(list_path, mode="r", encoding="utf-8") as f:
|
||||||
|
list_data = f.readlines()
|
||||||
|
for idx, transcriptions in enumerate(list_data):
|
||||||
|
data = transcriptions.split("|")
|
||||||
|
if len(data) != 4:
|
||||||
|
print(f"Error Line {idx + 1}: {'|'.join(data)}")
|
||||||
|
continue
|
||||||
|
audio_name, audio_folder, text_language, text = data
|
||||||
|
self.transcriptions_list.append(
|
||||||
|
[
|
||||||
|
audio_name,
|
||||||
|
audio_folder,
|
||||||
|
LANGUAGE_MAP.get(text_language.upper(), text_language.upper()),
|
||||||
|
text.strip("\n").strip(),
|
||||||
|
]
|
||||||
|
)
|
||||||
|
self.list_path = list_path
|
||||||
|
|
||||||
|
def save_list(self):
|
||||||
|
data = []
|
||||||
|
for transcriptions in self.transcriptions_list:
|
||||||
|
data.append("|".join(transcriptions))
|
||||||
|
try:
|
||||||
|
with open(self.list_path, mode="w", encoding="utf-8") as f:
|
||||||
|
f.write("\n".join(data))
|
||||||
|
except Exception as e:
|
||||||
|
return SubfixErr(e, traceback.format_exc())
|
||||||
|
|
||||||
|
def change_index(self, index: int):
|
||||||
|
audios = []
|
||||||
|
texts = []
|
||||||
|
languages = []
|
||||||
|
checkboxs = []
|
||||||
|
with LOCK:
|
||||||
|
for i in range(index, index + self.batch_size):
|
||||||
|
if i <= self.max_index:
|
||||||
|
audios.append(gr.Audio(value=self.transcriptions_list[i][0]))
|
||||||
|
texts.append(gr.Textbox(value=self.transcriptions_list[i][3], label=self.i18n("Text") + f" {i}"))
|
||||||
|
languages.append(gr.Dropdown(value=self.transcriptions_list[i][2]))
|
||||||
|
else:
|
||||||
|
audios.append(gr.Audio(value=None, interactive=False))
|
||||||
|
texts.append(gr.Textbox(value=None, label=self.i18n("Text") + f" {i}", interactive=False))
|
||||||
|
languages.append(gr.Dropdown(value=None, interactive=False))
|
||||||
|
checkboxs = [gr.Checkbox(False) for i in range(self.batch_size)]
|
||||||
|
self.cur_idx = index
|
||||||
|
return *audios, *texts, *languages, *checkboxs
|
||||||
|
|
||||||
|
def next_page(self, index: int):
|
||||||
|
batch_size = self.batch_size
|
||||||
|
max_index = max(self.max_index - batch_size + 1, 0)
|
||||||
|
index = min(index + batch_size, max_index)
|
||||||
|
return gr.Slider(value=index), *self.change_index(index)
|
||||||
|
|
||||||
|
def previous_page(self, index: int):
|
||||||
|
batch_size = self.batch_size
|
||||||
|
index = max(index - batch_size, 0)
|
||||||
|
return gr.Slider(value=index), *self.change_index(index)
|
||||||
|
|
||||||
|
def delete_audio(self, index, *selected):
|
||||||
|
delete_index = [i + index for i, _ in enumerate(selected) if _]
|
||||||
|
delete_index = [i for i in delete_index if i < self.max_index]
|
||||||
|
for idx in delete_index[::-1]:
|
||||||
|
self.transcriptions_list.pop(idx)
|
||||||
|
self.save_list()
|
||||||
|
return gr.Slider(value=index, maximum=self.max_index), *self.change_index(index)
|
||||||
|
|
||||||
|
def submit(self, *input):
|
||||||
|
with LOCK:
|
||||||
|
index = self.cur_idx
|
||||||
|
batch_size = self.batch_size
|
||||||
|
texts = input[: len(input) // 2]
|
||||||
|
languages = input[len(input) // 2 :]
|
||||||
|
if texts is None or languages is None:
|
||||||
|
raise ValueError()
|
||||||
|
print(index, min(index + batch_size, self.max_index))
|
||||||
|
for idx in range(index, min(index + batch_size, self.max_index + 1)):
|
||||||
|
self.transcriptions_list[idx][3] = texts[idx - index].strip().strip("\n")
|
||||||
|
self.transcriptions_list[idx][2] = languages[idx - index]
|
||||||
|
result = self.save_list()
|
||||||
|
if isinstance(result, SubfixErr):
|
||||||
|
gr.Warning(str(result.error))
|
||||||
|
print(result.tracebacks)
|
||||||
|
|
||||||
|
def merge_audio(self, index, *selected):
|
||||||
|
batch_size = self.batch_size
|
||||||
|
merge_index = [i + index for i, _ in enumerate(selected) if _]
|
||||||
|
merge_index = [i for i in merge_index if i < self.max_index]
|
||||||
|
if len(merge_index) < 2:
|
||||||
|
return *(gr.skip() for _ in range(batch_size * 3 + 1)), *(gr.Checkbox(False) for _ in range(batch_size))
|
||||||
|
else:
|
||||||
|
merge_texts = []
|
||||||
|
merge_audios = []
|
||||||
|
first_itm_index = merge_index[0]
|
||||||
|
first_itm_path = f"{os.path.splitext(self.transcriptions_list[first_itm_index][0])[0]}_{str(datetime.datetime.now().strftime(r'%Y%m%d_%H%M%S'))}.wav"
|
||||||
|
final_audio_list = []
|
||||||
|
for idx in merge_index:
|
||||||
|
merge_texts.append(self.transcriptions_list[idx][3])
|
||||||
|
merge_audios.append(self.transcriptions_list[idx][0])
|
||||||
|
for idx in merge_index[:0:-1]:
|
||||||
|
self.transcriptions_list.pop(idx)
|
||||||
|
for audio_path in merge_audios:
|
||||||
|
final_audio_list.append(librosa.load(audio_path, sr=32000, mono=True)[0])
|
||||||
|
final_audio_list.append(np.zeros(int(32000 * 0.3)))
|
||||||
|
final_audio_list.pop()
|
||||||
|
final_audio = np.concatenate(final_audio_list)
|
||||||
|
soundfile.write(first_itm_path, final_audio, 32000)
|
||||||
|
self.transcriptions_list[first_itm_index][0] = first_itm_path
|
||||||
|
self.transcriptions_list[first_itm_index][3] = ",".join(merge_texts)
|
||||||
|
return gr.Slider(maximum=self.max_index), *self.change_index(index)
|
||||||
|
|
||||||
|
def _render_text_area(self, index, batch_size):
|
||||||
|
i18n = self.i18n
|
||||||
|
self.textboxes = []
|
||||||
|
self.audios = []
|
||||||
|
self.languages = []
|
||||||
|
self.selections = []
|
||||||
|
self.batch_size = batch_size
|
||||||
|
for i in range(index, index + batch_size):
|
||||||
|
with gr.Row(equal_height=True):
|
||||||
|
if i <= self.max_index:
|
||||||
|
with gr.Column(scale=2, min_width=160):
|
||||||
|
textbox_tmp = gr.Textbox(
|
||||||
|
value=self.transcriptions_list[i][3],
|
||||||
|
label=i18n("Text") + f" {i}",
|
||||||
|
lines=2,
|
||||||
|
max_lines=3,
|
||||||
|
interactive=True,
|
||||||
|
)
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
audio_tmp = gr.Audio(
|
||||||
|
value=self.transcriptions_list[i][0],
|
||||||
|
show_label=False,
|
||||||
|
show_download_button=False,
|
||||||
|
editable=False,
|
||||||
|
waveform_options={"show_recording_waveform": False, "show_controls": False},
|
||||||
|
)
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
with gr.Group():
|
||||||
|
with gr.Row():
|
||||||
|
language_tmp = gr.Dropdown(
|
||||||
|
choices=["ZH", "EN", "JA", "KO", "YUE"],
|
||||||
|
value=self.transcriptions_list[i][2],
|
||||||
|
allow_custom_value=True,
|
||||||
|
label=i18n("文本语言"),
|
||||||
|
interactive=True,
|
||||||
|
)
|
||||||
|
with gr.Row():
|
||||||
|
selection_tmp = gr.Checkbox(
|
||||||
|
label=i18n("选择音频"),
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
with gr.Column(scale=2, min_width=160):
|
||||||
|
textbox_tmp = gr.Textbox(
|
||||||
|
label=i18n("Text") + f" {i}",
|
||||||
|
lines=2,
|
||||||
|
max_lines=3,
|
||||||
|
elem_id="subfix_textbox",
|
||||||
|
interactive=False,
|
||||||
|
)
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
audio_tmp = gr.Audio(
|
||||||
|
streaming=True,
|
||||||
|
show_label=False,
|
||||||
|
show_download_button=False,
|
||||||
|
interactive=False,
|
||||||
|
waveform_options=WaveformOptions(show_recording_waveform=False, show_controls=False),
|
||||||
|
)
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
with gr.Group():
|
||||||
|
with gr.Row():
|
||||||
|
language_tmp = gr.Dropdown(
|
||||||
|
choices=["ZH", "EN", "JA", "KO", "YUE"],
|
||||||
|
value=None,
|
||||||
|
allow_custom_value=True,
|
||||||
|
label=i18n("文本语言"),
|
||||||
|
interactive=False,
|
||||||
|
)
|
||||||
|
with gr.Row():
|
||||||
|
selection_tmp = gr.Checkbox(
|
||||||
|
label=i18n("选择音频"),
|
||||||
|
interactive=False,
|
||||||
|
)
|
||||||
|
|
||||||
|
self.textboxes.append(textbox_tmp)
|
||||||
|
self.audios.append(audio_tmp)
|
||||||
|
self.languages.append(language_tmp)
|
||||||
|
self.selections.append(selection_tmp)
|
||||||
|
with gr.Row(equal_height=True):
|
||||||
|
with gr.Column(scale=2, min_width=160):
|
||||||
|
self.close_button = gr.Button(value=i18n("保存并关闭打标WebUI"), variant="stop")
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.previous_index_button2 = gr.Button(value=i18n("上一页"))
|
||||||
|
with gr.Column(scale=1, min_width=160):
|
||||||
|
self.next_index_button2 = gr.Button(value=i18n("下一页"))
|
||||||
|
|
||||||
|
# Event Trigger Binding
|
||||||
|
|
||||||
|
self.index_slider.release( # Change Index Button
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
).success(
|
||||||
|
fn=self.change_index,
|
||||||
|
inputs=[
|
||||||
|
self.index_slider,
|
||||||
|
],
|
||||||
|
outputs=[
|
||||||
|
*self.audios,
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
max_batch_size=1,
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.next_index_button1.click( # Next Page Button on the Top
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
).success(
|
||||||
|
fn=self.next_page,
|
||||||
|
inputs=[
|
||||||
|
self.index_slider,
|
||||||
|
],
|
||||||
|
outputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.audios,
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
scroll_to_output=True,
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.next_index_button2.click( # Next Page Button on the Bottom, Binding to Next Page Button on the Top
|
||||||
|
lambda: None,
|
||||||
|
[],
|
||||||
|
[],
|
||||||
|
js="""
|
||||||
|
() => {
|
||||||
|
document.getElementById("btn_next").click();
|
||||||
|
}""",
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.previous_index_button1.click( # Previous Page Button on the Top
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
).success(
|
||||||
|
fn=self.previous_page,
|
||||||
|
inputs=[
|
||||||
|
self.index_slider,
|
||||||
|
],
|
||||||
|
outputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.audios,
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
scroll_to_output=True,
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.previous_index_button2.click( # Previous Page Button on the Bottom, Binding to Previous Page Button on the Top
|
||||||
|
lambda: None,
|
||||||
|
[],
|
||||||
|
[],
|
||||||
|
js="""
|
||||||
|
() => {
|
||||||
|
document.getElementById("btn_previous").click();
|
||||||
|
}""",
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.delete_audio_button.click( # Delete the Audio in the Transcription File
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
).success(
|
||||||
|
fn=self.delete_audio,
|
||||||
|
inputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
outputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.audios,
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
scroll_to_output=True,
|
||||||
|
).success(
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
show_progress="hidden",
|
||||||
|
)
|
||||||
|
|
||||||
|
self.merge_audio_button.click( # Delete the Audio in the Transcription File
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
).success(
|
||||||
|
fn=self.merge_audio,
|
||||||
|
inputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
outputs=[
|
||||||
|
self.index_slider,
|
||||||
|
*self.audios,
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
*self.selections,
|
||||||
|
],
|
||||||
|
scroll_to_output=True,
|
||||||
|
).success(
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
show_progress="hidden",
|
||||||
|
)
|
||||||
|
if not IS_CLI:
|
||||||
|
self.close_button.click( # Close the Subfix Tab, Binding to Close Button on Audio Processing Tab
|
||||||
|
fn=lambda: None,
|
||||||
|
inputs=[],
|
||||||
|
outputs=[],
|
||||||
|
js="""
|
||||||
|
() => {
|
||||||
|
document.getElementById("btn_close").click();
|
||||||
|
}""",
|
||||||
|
trigger_mode="once",
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
self.close_button.click( # Close the Subfix Tab, Binding to Close Button on Audio Processing Tab
|
||||||
|
fn=self.submit,
|
||||||
|
inputs=[
|
||||||
|
*self.textboxes,
|
||||||
|
*self.languages,
|
||||||
|
],
|
||||||
|
outputs=[],
|
||||||
|
trigger_mode="once",
|
||||||
|
).then(
|
||||||
|
fn=PARTIAL_EXIT,
|
||||||
|
inputs=[],
|
||||||
|
outputs=[],
|
||||||
|
)
|
||||||
|
|
||||||
|
def render(self, list_path: str, batch_size: int = 10):
|
||||||
|
self.batch_size = batch_size
|
||||||
|
self.transcriptions_list = []
|
||||||
|
self.load_list(list_path=list_path)
|
||||||
|
|
||||||
|
|
||||||
|
@click.command(name="subfix")
|
||||||
|
@click.argument(
|
||||||
|
"list-path",
|
||||||
|
metavar="<Path>",
|
||||||
|
type=click.Path(exists=True, dir_okay=False, readable=True, writable=True),
|
||||||
|
required=True,
|
||||||
|
)
|
||||||
|
@click.option(
|
||||||
|
"--i18n-lang",
|
||||||
|
type=str,
|
||||||
|
default="Auto",
|
||||||
|
help="Languages for internationalisation",
|
||||||
|
show_default=True,
|
||||||
|
)
|
||||||
|
@click.option(
|
||||||
|
"--port",
|
||||||
|
type=int,
|
||||||
|
default="9871",
|
||||||
|
show_default=True,
|
||||||
|
)
|
||||||
|
@click.option(
|
||||||
|
"--share",
|
||||||
|
type=bool,
|
||||||
|
default=False,
|
||||||
|
show_default=True,
|
||||||
|
)
|
||||||
|
def main(list_path: str = "", i18n_lang="Auto", port=9871, share=False):
|
||||||
|
"""Web-Based audio subtitle editing and multilingual annotation Tool
|
||||||
|
|
||||||
|
Accept a transcription list path to launch a Gradio WebUI for text editing
|
||||||
|
"""
|
||||||
|
|
||||||
|
with gr.Blocks(analytics_enabled=False) as app:
|
||||||
|
subfix = Subfix(I18nAuto(i18n_lang))
|
||||||
|
subfix.render(list_path=list_path)
|
||||||
|
if subfix.max_index >= 0:
|
||||||
|
timer = gr.Timer(0.1)
|
||||||
|
|
||||||
|
timer.tick(
|
||||||
|
fn=lambda: (
|
||||||
|
gr.Slider(value=0, maximum=subfix.max_index, step=1),
|
||||||
|
gr.Slider(value=10),
|
||||||
|
gr.Timer(active=False),
|
||||||
|
),
|
||||||
|
inputs=[],
|
||||||
|
outputs=[
|
||||||
|
subfix.index_slider,
|
||||||
|
subfix.batch_size_slider,
|
||||||
|
timer,
|
||||||
|
],
|
||||||
|
)
|
||||||
|
else:
|
||||||
|
timer = gr.Timer(2)
|
||||||
|
|
||||||
|
timer.tick(
|
||||||
|
fn=lambda x: (_ for _ in ()).throw(gr.Error("Invalid List")) if x is None else None,
|
||||||
|
inputs=[],
|
||||||
|
outputs=[],
|
||||||
|
)
|
||||||
|
app.queue().launch(
|
||||||
|
server_name="0.0.0.0",
|
||||||
|
inbrowser=True,
|
||||||
|
share=share,
|
||||||
|
server_port=port,
|
||||||
|
quiet=False,
|
||||||
|
show_api=False,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@ -1,422 +0,0 @@
|
|||||||
import sys
|
|
||||||
from tools.i18n.i18n import I18nAuto, scan_language_list
|
|
||||||
language = sys.argv[-1] if sys.argv[-1] in scan_language_list() else "Auto"
|
|
||||||
i18n = I18nAuto(language=language)
|
|
||||||
import argparse
|
|
||||||
import copy
|
|
||||||
import json
|
|
||||||
import os
|
|
||||||
import uuid
|
|
||||||
|
|
||||||
try:
|
|
||||||
import gradio.analytics as analytics
|
|
||||||
|
|
||||||
analytics.version_check = lambda: None
|
|
||||||
except:
|
|
||||||
...
|
|
||||||
|
|
||||||
import gradio as gr
|
|
||||||
import librosa
|
|
||||||
import numpy as np
|
|
||||||
import soundfile
|
|
||||||
|
|
||||||
g_json_key_text = ""
|
|
||||||
g_json_key_path = ""
|
|
||||||
g_load_file = ""
|
|
||||||
g_load_format = ""
|
|
||||||
|
|
||||||
g_max_json_index = 0
|
|
||||||
g_index = 0
|
|
||||||
g_batch = 10
|
|
||||||
g_text_list = []
|
|
||||||
g_audio_list = []
|
|
||||||
g_checkbox_list = []
|
|
||||||
g_data_json = []
|
|
||||||
|
|
||||||
|
|
||||||
def reload_data(index, batch):
|
|
||||||
global g_index
|
|
||||||
g_index = index
|
|
||||||
global g_batch
|
|
||||||
g_batch = batch
|
|
||||||
datas = g_data_json[index : index + batch]
|
|
||||||
output = []
|
|
||||||
for d in datas:
|
|
||||||
output.append({g_json_key_text: d[g_json_key_text], g_json_key_path: d[g_json_key_path]})
|
|
||||||
return output
|
|
||||||
|
|
||||||
|
|
||||||
def b_change_index(index, batch):
|
|
||||||
global g_index, g_batch
|
|
||||||
g_index, g_batch = index, batch
|
|
||||||
datas = reload_data(index, batch)
|
|
||||||
output = []
|
|
||||||
for i, _ in enumerate(datas):
|
|
||||||
output.append(
|
|
||||||
# gr.Textbox(
|
|
||||||
# label=f"Text {i+index}",
|
|
||||||
# value=_[g_json_key_text]#text
|
|
||||||
# )
|
|
||||||
{"__type__": "update", "label": f"Text {i + index}", "value": _[g_json_key_text]}
|
|
||||||
)
|
|
||||||
for _ in range(g_batch - len(datas)):
|
|
||||||
output.append(
|
|
||||||
# gr.Textbox(
|
|
||||||
# label=f"Text",
|
|
||||||
# value=""
|
|
||||||
# )
|
|
||||||
{"__type__": "update", "label": "Text", "value": ""}
|
|
||||||
)
|
|
||||||
for _ in datas:
|
|
||||||
output.append(_[g_json_key_path])
|
|
||||||
for _ in range(g_batch - len(datas)):
|
|
||||||
output.append(None)
|
|
||||||
for _ in range(g_batch):
|
|
||||||
output.append(False)
|
|
||||||
return output
|
|
||||||
|
|
||||||
|
|
||||||
def b_next_index(index, batch):
|
|
||||||
b_save_file()
|
|
||||||
if (index + batch) <= g_max_json_index:
|
|
||||||
return index + batch, *b_change_index(index + batch, batch)
|
|
||||||
else:
|
|
||||||
return index, *b_change_index(index, batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_previous_index(index, batch):
|
|
||||||
b_save_file()
|
|
||||||
if (index - batch) >= 0:
|
|
||||||
return index - batch, *b_change_index(index - batch, batch)
|
|
||||||
else:
|
|
||||||
return 0, *b_change_index(0, batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_submit_change(*text_list):
|
|
||||||
global g_data_json
|
|
||||||
change = False
|
|
||||||
for i, new_text in enumerate(text_list):
|
|
||||||
if g_index + i <= g_max_json_index:
|
|
||||||
new_text = new_text.strip() + " "
|
|
||||||
if g_data_json[g_index + i][g_json_key_text] != new_text:
|
|
||||||
g_data_json[g_index + i][g_json_key_text] = new_text
|
|
||||||
change = True
|
|
||||||
if change:
|
|
||||||
b_save_file()
|
|
||||||
return g_index, *b_change_index(g_index, g_batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_delete_audio(*checkbox_list):
|
|
||||||
global g_data_json, g_index, g_max_json_index
|
|
||||||
b_save_file()
|
|
||||||
change = False
|
|
||||||
for i, checkbox in reversed(list(enumerate(checkbox_list))):
|
|
||||||
if g_index + i < len(g_data_json):
|
|
||||||
if checkbox == True:
|
|
||||||
g_data_json.pop(g_index + i)
|
|
||||||
change = True
|
|
||||||
|
|
||||||
g_max_json_index = len(g_data_json) - 1
|
|
||||||
if g_index > g_max_json_index:
|
|
||||||
g_index = g_max_json_index
|
|
||||||
g_index = g_index if g_index >= 0 else 0
|
|
||||||
if change:
|
|
||||||
b_save_file()
|
|
||||||
# return gr.Slider(value=g_index, maximum=(g_max_json_index if g_max_json_index>=0 else 0)), *b_change_index(g_index, g_batch)
|
|
||||||
return {
|
|
||||||
"value": g_index,
|
|
||||||
"__type__": "update",
|
|
||||||
"maximum": (g_max_json_index if g_max_json_index >= 0 else 0),
|
|
||||||
}, *b_change_index(g_index, g_batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_invert_selection(*checkbox_list):
|
|
||||||
new_list = [not item if item is True else True for item in checkbox_list]
|
|
||||||
return new_list
|
|
||||||
|
|
||||||
|
|
||||||
def get_next_path(filename):
|
|
||||||
base_dir = os.path.dirname(filename)
|
|
||||||
base_name = os.path.splitext(os.path.basename(filename))[0]
|
|
||||||
for i in range(100):
|
|
||||||
new_path = os.path.join(base_dir, f"{base_name}_{str(i).zfill(2)}.wav")
|
|
||||||
if not os.path.exists(new_path):
|
|
||||||
return new_path
|
|
||||||
return os.path.join(base_dir, f"{str(uuid.uuid4())}.wav")
|
|
||||||
|
|
||||||
|
|
||||||
def b_audio_split(audio_breakpoint, *checkbox_list):
|
|
||||||
global g_data_json, g_max_json_index
|
|
||||||
checked_index = []
|
|
||||||
for i, checkbox in enumerate(checkbox_list):
|
|
||||||
if checkbox == True and g_index + i < len(g_data_json):
|
|
||||||
checked_index.append(g_index + i)
|
|
||||||
if len(checked_index) == 1:
|
|
||||||
index = checked_index[0]
|
|
||||||
audio_json = copy.deepcopy(g_data_json[index])
|
|
||||||
path = audio_json[g_json_key_path]
|
|
||||||
data, sample_rate = librosa.load(path, sr=None, mono=True)
|
|
||||||
audio_maxframe = len(data)
|
|
||||||
break_frame = int(audio_breakpoint * sample_rate)
|
|
||||||
|
|
||||||
if break_frame >= 1 and break_frame < audio_maxframe:
|
|
||||||
audio_first = data[0:break_frame]
|
|
||||||
audio_second = data[break_frame:]
|
|
||||||
nextpath = get_next_path(path)
|
|
||||||
soundfile.write(nextpath, audio_second, sample_rate)
|
|
||||||
soundfile.write(path, audio_first, sample_rate)
|
|
||||||
g_data_json.insert(index + 1, audio_json)
|
|
||||||
g_data_json[index + 1][g_json_key_path] = nextpath
|
|
||||||
b_save_file()
|
|
||||||
|
|
||||||
g_max_json_index = len(g_data_json) - 1
|
|
||||||
# return gr.Slider(value=g_index, maximum=g_max_json_index), *b_change_index(g_index, g_batch)
|
|
||||||
return {"value": g_index, "maximum": g_max_json_index, "__type__": "update"}, *b_change_index(g_index, g_batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_merge_audio(interval_r, *checkbox_list):
|
|
||||||
global g_data_json, g_max_json_index
|
|
||||||
b_save_file()
|
|
||||||
checked_index = []
|
|
||||||
audios_path = []
|
|
||||||
audios_text = []
|
|
||||||
for i, checkbox in enumerate(checkbox_list):
|
|
||||||
if checkbox == True and g_index + i < len(g_data_json):
|
|
||||||
checked_index.append(g_index + i)
|
|
||||||
|
|
||||||
if len(checked_index) > 1:
|
|
||||||
for i in checked_index:
|
|
||||||
audios_path.append(g_data_json[i][g_json_key_path])
|
|
||||||
audios_text.append(g_data_json[i][g_json_key_text])
|
|
||||||
for i in reversed(checked_index[1:]):
|
|
||||||
g_data_json.pop(i)
|
|
||||||
|
|
||||||
base_index = checked_index[0]
|
|
||||||
base_path = audios_path[0]
|
|
||||||
g_data_json[base_index][g_json_key_text] = "".join(audios_text)
|
|
||||||
|
|
||||||
audio_list = []
|
|
||||||
l_sample_rate = None
|
|
||||||
for i, path in enumerate(audios_path):
|
|
||||||
data, sample_rate = librosa.load(path, sr=l_sample_rate, mono=True)
|
|
||||||
l_sample_rate = sample_rate
|
|
||||||
if i > 0:
|
|
||||||
silence = np.zeros(int(l_sample_rate * interval_r))
|
|
||||||
audio_list.append(silence)
|
|
||||||
|
|
||||||
audio_list.append(data)
|
|
||||||
|
|
||||||
audio_concat = np.concatenate(audio_list)
|
|
||||||
|
|
||||||
soundfile.write(base_path, audio_concat, l_sample_rate)
|
|
||||||
|
|
||||||
b_save_file()
|
|
||||||
|
|
||||||
g_max_json_index = len(g_data_json) - 1
|
|
||||||
|
|
||||||
# return gr.Slider(value=g_index, maximum=g_max_json_index), *b_change_index(g_index, g_batch)
|
|
||||||
return {"value": g_index, "maximum": g_max_json_index, "__type__": "update"}, *b_change_index(g_index, g_batch)
|
|
||||||
|
|
||||||
|
|
||||||
def b_save_json():
|
|
||||||
with open(g_load_file, "w", encoding="utf-8") as file:
|
|
||||||
for data in g_data_json:
|
|
||||||
file.write(f"{json.dumps(data, ensure_ascii=False)}\n")
|
|
||||||
|
|
||||||
|
|
||||||
def b_save_list():
|
|
||||||
with open(g_load_file, "w", encoding="utf-8") as file:
|
|
||||||
for data in g_data_json:
|
|
||||||
wav_path = data["wav_path"]
|
|
||||||
speaker_name = data["speaker_name"]
|
|
||||||
language = data["language"]
|
|
||||||
text = data["text"]
|
|
||||||
file.write(f"{wav_path}|{speaker_name}|{language}|{text}".strip() + "\n")
|
|
||||||
|
|
||||||
|
|
||||||
def b_load_json():
|
|
||||||
global g_data_json, g_max_json_index
|
|
||||||
with open(g_load_file, "r", encoding="utf-8") as file:
|
|
||||||
g_data_json = file.readlines()
|
|
||||||
g_data_json = [json.loads(line) for line in g_data_json]
|
|
||||||
g_max_json_index = len(g_data_json) - 1
|
|
||||||
|
|
||||||
|
|
||||||
def b_load_list():
|
|
||||||
global g_data_json, g_max_json_index
|
|
||||||
with open(g_load_file, "r", encoding="utf-8") as source:
|
|
||||||
data_list = source.readlines()
|
|
||||||
for _ in data_list:
|
|
||||||
data = _.split("|")
|
|
||||||
if len(data) == 4:
|
|
||||||
wav_path, speaker_name, language, text = data
|
|
||||||
g_data_json.append(
|
|
||||||
{"wav_path": wav_path, "speaker_name": speaker_name, "language": language, "text": text.strip()}
|
|
||||||
)
|
|
||||||
else:
|
|
||||||
print("error line:", data)
|
|
||||||
g_max_json_index = len(g_data_json) - 1
|
|
||||||
|
|
||||||
|
|
||||||
def b_save_file():
|
|
||||||
if g_load_format == "json":
|
|
||||||
b_save_json()
|
|
||||||
elif g_load_format == "list":
|
|
||||||
b_save_list()
|
|
||||||
|
|
||||||
|
|
||||||
def b_load_file():
|
|
||||||
if g_load_format == "json":
|
|
||||||
b_load_json()
|
|
||||||
elif g_load_format == "list":
|
|
||||||
b_load_list()
|
|
||||||
|
|
||||||
|
|
||||||
def set_global(load_json, load_list, json_key_text, json_key_path, batch):
|
|
||||||
global g_json_key_text, g_json_key_path, g_load_file, g_load_format, g_batch
|
|
||||||
|
|
||||||
g_batch = int(batch)
|
|
||||||
|
|
||||||
if load_json != "None":
|
|
||||||
g_load_format = "json"
|
|
||||||
g_load_file = load_json
|
|
||||||
elif load_list != "None":
|
|
||||||
g_load_format = "list"
|
|
||||||
g_load_file = load_list
|
|
||||||
else:
|
|
||||||
g_load_format = "list"
|
|
||||||
g_load_file = "demo.list"
|
|
||||||
|
|
||||||
g_json_key_text = json_key_text
|
|
||||||
g_json_key_path = json_key_path
|
|
||||||
|
|
||||||
b_load_file()
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
parser = argparse.ArgumentParser(description="Process some integers.")
|
|
||||||
parser.add_argument("--load_json", default="None", help="source file, like demo.json")
|
|
||||||
parser.add_argument("--is_share", default="False", help="whether webui is_share=True")
|
|
||||||
parser.add_argument("--load_list", default="None", help="source file, like demo.list")
|
|
||||||
parser.add_argument("--webui_port_subfix", default=9871, help="source file, like demo.list")
|
|
||||||
parser.add_argument("--json_key_text", default="text", help="the text key name in json, Default: text")
|
|
||||||
parser.add_argument("--json_key_path", default="wav_path", help="the path key name in json, Default: wav_path")
|
|
||||||
parser.add_argument("--g_batch", default=10, help="max number g_batch wav to display, Default: 10")
|
|
||||||
|
|
||||||
args = parser.parse_args()
|
|
||||||
|
|
||||||
set_global(args.load_json, args.load_list, args.json_key_text, args.json_key_path, args.g_batch)
|
|
||||||
|
|
||||||
with gr.Blocks(analytics_enabled=False) as demo:
|
|
||||||
gr.Markdown(
|
|
||||||
value=i18n("Submit Text: 将当前页所有文本框内容手工保存到内存和文件(翻页前后或者退出标注页面前如果没点这个按钮，你再翻回来就回滚了，白忙活。)")
|
|
||||||
)
|
|
||||||
with gr.Row():
|
|
||||||
btn_change_index = gr.Button("Change Index")
|
|
||||||
btn_submit_change = gr.Button("Submit Text")
|
|
||||||
btn_merge_audio = gr.Button("Merge Audio")
|
|
||||||
btn_delete_audio = gr.Button("Delete Audio")
|
|
||||||
btn_previous_index = gr.Button("Previous Index")
|
|
||||||
btn_next_index = gr.Button("Next Index")
|
|
||||||
|
|
||||||
with gr.Row():
|
|
||||||
index_slider = gr.Slider(minimum=0, maximum=g_max_json_index, value=g_index, step=1, label="Index", scale=3)
|
|
||||||
splitpoint_slider = gr.Slider(
|
|
||||||
minimum=0, maximum=120.0, value=0, step=0.1, label="Audio Split Point(s)", scale=3
|
|
||||||
)
|
|
||||||
btn_audio_split = gr.Button("Split Audio", scale=1)
|
|
||||||
btn_save_json = gr.Button("Save File", visible=True, scale=1)
|
|
||||||
btn_invert_selection = gr.Button("Invert Selection", scale=1)
|
|
||||||
|
|
||||||
with gr.Row():
|
|
||||||
with gr.Column():
|
|
||||||
for _ in range(0, g_batch):
|
|
||||||
with gr.Row():
|
|
||||||
text = gr.Textbox(label="Text", visible=True, scale=5)
|
|
||||||
audio_output = gr.Audio(label="Output Audio", visible=True, scale=5)
|
|
||||||
audio_check = gr.Checkbox(label="Yes", show_label=True, info="Choose Audio", scale=1)
|
|
||||||
g_text_list.append(text)
|
|
||||||
g_audio_list.append(audio_output)
|
|
||||||
g_checkbox_list.append(audio_check)
|
|
||||||
|
|
||||||
with gr.Row():
|
|
||||||
batchsize_slider = gr.Slider(
|
|
||||||
minimum=1, maximum=g_batch, value=g_batch, step=1, label="Batch Size", scale=3, interactive=False
|
|
||||||
)
|
|
||||||
interval_slider = gr.Slider(minimum=0, maximum=2, value=0, step=0.01, label="Interval", scale=3)
|
|
||||||
btn_theme_dark = gr.Button("Light Theme", link="?__theme=light", scale=1)
|
|
||||||
btn_theme_light = gr.Button("Dark Theme", link="?__theme=dark", scale=1)
|
|
||||||
|
|
||||||
btn_change_index.click(
|
|
||||||
b_change_index,
|
|
||||||
inputs=[
|
|
||||||
index_slider,
|
|
||||||
batchsize_slider,
|
|
||||||
],
|
|
||||||
outputs=[*g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_submit_change.click(
|
|
||||||
b_submit_change,
|
|
||||||
inputs=[
|
|
||||||
*g_text_list,
|
|
||||||
],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_previous_index.click(
|
|
||||||
b_previous_index,
|
|
||||||
inputs=[
|
|
||||||
index_slider,
|
|
||||||
batchsize_slider,
|
|
||||||
],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_next_index.click(
|
|
||||||
b_next_index,
|
|
||||||
inputs=[
|
|
||||||
index_slider,
|
|
||||||
batchsize_slider,
|
|
||||||
],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_delete_audio.click(
|
|
||||||
b_delete_audio,
|
|
||||||
inputs=[*g_checkbox_list],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_merge_audio.click(
|
|
||||||
b_merge_audio,
|
|
||||||
inputs=[interval_slider, *g_checkbox_list],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_audio_split.click(
|
|
||||||
b_audio_split,
|
|
||||||
inputs=[splitpoint_slider, *g_checkbox_list],
|
|
||||||
outputs=[index_slider, *g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
btn_invert_selection.click(b_invert_selection, inputs=[*g_checkbox_list], outputs=[*g_checkbox_list])
|
|
||||||
|
|
||||||
btn_save_json.click(b_save_file)
|
|
||||||
|
|
||||||
demo.load(
|
|
||||||
b_change_index,
|
|
||||||
inputs=[
|
|
||||||
index_slider,
|
|
||||||
batchsize_slider,
|
|
||||||
],
|
|
||||||
outputs=[*g_text_list, *g_audio_list, *g_checkbox_list],
|
|
||||||
)
|
|
||||||
|
|
||||||
demo.launch(
|
|
||||||
server_name="0.0.0.0",
|
|
||||||
inbrowser=True,
|
|
||||||
# quiet=True,
|
|
||||||
share=eval(args.is_share),
|
|
||||||
server_port=int(args.webui_port_subfix),
|
|
||||||
)
|
|
||||||
@ -1,23 +1,22 @@
|
|||||||
import logging
|
import logging
|
||||||
import os
|
import os
|
||||||
|
import sys
|
||||||
import traceback
|
import traceback
|
||||||
|
|
||||||
import gradio as gr
|
|
||||||
|
|
||||||
from tools.i18n.i18n import I18nAuto
|
|
||||||
from tools.my_utils import clean_path
|
|
||||||
|
|
||||||
i18n = I18nAuto()
|
|
||||||
|
|
||||||
logger = logging.getLogger(__name__)
|
|
||||||
import sys
|
|
||||||
|
|
||||||
import ffmpeg
|
import ffmpeg
|
||||||
|
import gradio as gr
|
||||||
import torch
|
import torch
|
||||||
from bsroformer import Roformer_Loader
|
from bsroformer import Roformer_Loader
|
||||||
from mdxnet import MDXNetDereverb
|
from mdxnet import MDXNetDereverb
|
||||||
from vr import AudioPre, AudioPreDeEcho
|
from vr import AudioPre, AudioPreDeEcho
|
||||||
|
|
||||||
|
from tools.i18n.i18n import I18nAuto
|
||||||
|
from tools.my_utils import clean_path, load_cudnn
|
||||||
|
|
||||||
|
i18n = I18nAuto()
|
||||||
|
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
weight_uvr5_root = "tools/uvr5/uvr5_weights"
|
weight_uvr5_root = "tools/uvr5/uvr5_weights"
|
||||||
uvr5_names = []
|
uvr5_names = []
|
||||||
for name in os.listdir(weight_uvr5_root):
|
for name in os.listdir(weight_uvr5_root):
|
||||||
@ -44,6 +43,7 @@ def html_center(text, label="p"):
|
|||||||
|
|
||||||
def uvr(model_name, inp_root, save_root_vocal, paths, save_root_ins, agg, format0):
|
def uvr(model_name, inp_root, save_root_vocal, paths, save_root_ins, agg, format0):
|
||||||
infos = []
|
infos = []
|
||||||
|
load_cudnn()
|
||||||
try:
|
try:
|
||||||
inp_root = clean_path(inp_root)
|
inp_root = clean_path(inp_root)
|
||||||
save_root_vocal = clean_path(save_root_vocal)
|
save_root_vocal = clean_path(save_root_vocal)
|
||||||
@ -220,5 +220,6 @@ app.queue().launch( # concurrency_count=511, max_size=1022
|
|||||||
inbrowser=True,
|
inbrowser=True,
|
||||||
share=is_share,
|
share=is_share,
|
||||||
server_port=webui_port_uvr5,
|
server_port=webui_port_uvr5,
|
||||||
|
show_api=False,
|
||||||
# quiet=True,
|
# quiet=True,
|
||||||
)
|
)
|
||||||
|
|||||||
26
webui.py
26
webui.py
@ -62,8 +62,11 @@ for site_packages_root in site_packages_roots:
|
|||||||
traceback.print_exc()
|
traceback.print_exc()
|
||||||
import shutil
|
import shutil
|
||||||
import subprocess
|
import subprocess
|
||||||
|
from multiprocessing import cpu_count
|
||||||
from subprocess import Popen
|
from subprocess import Popen
|
||||||
|
|
||||||
|
import gradio as gr
|
||||||
|
|
||||||
from config import (
|
from config import (
|
||||||
exp_root,
|
exp_root,
|
||||||
infer_device,
|
infer_device,
|
||||||
@ -77,22 +80,11 @@ from config import (
|
|||||||
)
|
)
|
||||||
from tools import my_utils
|
from tools import my_utils
|
||||||
from tools.i18n.i18n import I18nAuto, scan_language_list
|
from tools.i18n.i18n import I18nAuto, scan_language_list
|
||||||
|
from tools.my_utils import check_details, check_for_existance
|
||||||
|
|
||||||
language = sys.argv[-1] if sys.argv[-1] in scan_language_list() else "Auto"
|
language = sys.argv[-1] if sys.argv[-1] in scan_language_list() else "Auto"
|
||||||
os.environ["language"] = language
|
os.environ["language"] = language
|
||||||
i18n = I18nAuto(language=language)
|
i18n = I18nAuto(language=language)
|
||||||
from multiprocessing import cpu_count
|
|
||||||
|
|
||||||
from tools.my_utils import check_details, check_for_existance
|
|
||||||
|
|
||||||
# os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # 当遇到mps不支持的步骤时使用cpu
|
|
||||||
try:
|
|
||||||
import gradio.analytics as analytics
|
|
||||||
|
|
||||||
analytics.version_check = lambda: None
|
|
||||||
except:
|
|
||||||
...
|
|
||||||
import gradio as gr
|
|
||||||
|
|
||||||
n_cpu = cpu_count()
|
n_cpu = cpu_count()
|
||||||
|
|
||||||
@ -384,12 +376,7 @@ def change_label(path_list):
|
|||||||
if p_label is None:
|
if p_label is None:
|
||||||
check_for_existance([path_list])
|
check_for_existance([path_list])
|
||||||
path_list = my_utils.clean_path(path_list)
|
path_list = my_utils.clean_path(path_list)
|
||||||
cmd = '"%s" -s tools/subfix_webui.py --load_list "%s" --webui_port %s --is_share %s' % (
|
cmd = f'"{python_exec}" -s tools/subfix.py --i18n-lang {language} --port {webui_port_subfix} --share {is_share} "{path_list}"'
|
||||||
python_exec,
|
|
||||||
path_list,
|
|
||||||
webui_port_subfix,
|
|
||||||
is_share,
|
|
||||||
)
|
|
||||||
yield (
|
yield (
|
||||||
process_info(process_name_subfix, "opened"),
|
process_info(process_name_subfix, "opened"),
|
||||||
{"__type__": "update", "visible": False},
|
{"__type__": "update", "visible": False},
|
||||||
@ -1419,7 +1406,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
|
|||||||
value=process_info(process_name_slice, "close"), variant="primary", visible=False
|
value=process_info(process_name_slice, "close"), variant="primary", visible=False
|
||||||
)
|
)
|
||||||
|
|
||||||
gr.Markdown(value="0bb-" + i18n("语音降噪工具")+i18n("(不稳定，先别用，可能劣化模型效果！)"))
|
gr.Markdown(value="0bb-" + i18n("语音降噪工具") + i18n("(不稳定，先别用，可能劣化模型效果！)"))
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
with gr.Column(scale=3):
|
with gr.Column(scale=3):
|
||||||
with gr.Row():
|
with gr.Row():
|
||||||
@ -1981,5 +1968,6 @@ with gr.Blocks(title="GPT-SoVITS WebUI", analytics_enabled=False) as app:
|
|||||||
inbrowser=True,
|
inbrowser=True,
|
||||||
share=is_share,
|
share=is_share,
|
||||||
server_port=webui_port_main,
|
server_port=webui_port_main,
|
||||||
|
show_api=False,
|
||||||
# quiet=True,
|
# quiet=True,
|
||||||
)
|
)
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user