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# Retrieval-based-Voice-Conversion-WebUI
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
缺失的2个文件夹和2个文件：
hubert_base.pt
ffmpeg（自己确保ffmpeg命令能执行就行）
pretrained文件夹
uvr5_weights文件夹
文件太大github传不动，去huggingface上下https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main
当然你也可以直接看看RVC-beta.7z这个文件→_→
按照requirements.txt用pip装好环境，python infer-web.py就能用了
根据经验，librosa numpy和numba三个包最好写死版本否则容易有坑，其他的包版本不太重要
宣传视频：https://www.bilibili.com/video/BV1pm4y1z7Gm/
教程见小白简易教程.doc
# Retrieval-based-Voice-Conversion-WebUI
[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-blue.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
### 使用了RVC的实时语音转换 : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
------
一个基于VITS的简单易用的SVC框架。
[**English**](./README_en.md) | [**中文简体**](./README.md)
> 点此查看我们的[演示视频](https://www.bilibili.com/video/BV1pm4y1z7Gm/) !
## 简介
本仓库具有以下特点:
+ 使用top1特征模型检索来杜绝音色泄露；
+ 即便在相对较差的显卡上也能快速训练;
+ 使用少量数据进行训练也能得到较好结果;
+ 可以通过模型融合来改变音色;
+ 简单易用的WebUI界面;
+ 可调用UVR5模型来快速分离人声和伴奏。
## 环境配置
我们推荐你使用poetry来配置环境。
以下指令需在Python版本大于3.8的环境当中执行:
```bash
# 安装Pytorch及其核心依赖，若已安装则跳过
# 参考自: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
# 安装 Poetry 依赖管理工具, 若已安装则跳过
# 参考自: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# 通过poetry安装依赖
poetry install
```
你也可以通过pip来安装依赖：
```bash
pip install -r requirements.txt
```
## 其他预模型准备
RVC需要其他的一些预模型来推理和训练。
你可以从我们的[Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)下载到这些模型。
以下是一份清单，包括了所有RVC所需的预模型和其他文件的名称:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
#如果你正在使用Windows，则你可能需要这个文件夹，若FFmpeg已安装则跳过
./ffmpeg
```
之后使用以下指令来调用Webui:
```bash
python infer-web.py
```
如果你正在使用Windows，你可以直接下载并解压`RVC-beta.7z` 来使用RVC，运行`go-web.bat`来启动WebUI。
我们将在两周内推出一个英文版本的WebUI.
仓库内还有一份`小白简易教程.doc`以供参考。
## 参考项目
+ [ContentVec](https://github.com/auspicious3000/contentvec/)
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
## 感谢所有贡献者作出的努力
<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
<img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
</a>

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# Retrieval-based-Voice-Conversion-WebUI
[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-blue.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
### Realtime Voice Conversion Software using RVC : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
------
An easy-to-use SVC framework based on VITS.
[**English**](./README.md) | [**中文简体**](./README_zh_CN.md)
> Check our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
## Summary
This repository has the following features:
+ Using top1 feature model retrieval to reduce tone leakage;
+ Easy and fast training, even on relatively poor graphics cards;
+ Training with a small amount of data also obtains relatively good results;
+ Supporting model fusion to change timbres;
+ Easy-to-use Webui interface;
+ Use the UVR5 model to quickly separate vocals and instruments.
## Preparing the environment
We recommend you install the dependencies through poetry.
The following commands need to be executed in the environment of Python version 3.8 or higher:
```bash
# Install PyTorch-related core dependencies, skip if installed
# Reference: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
# Install the Poetry dependency management tool, skip if installed
# Reference: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# Install the project dependencies
poetry install
```
You can also use pip to install the dependencies
```bash
pip install -r requirements.txt
```
## Preparation of other Pre-models
RVC requires other pre-models to infer and train.
You need to download them from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/).
Here's a list of Pre-models and other files that RVC needs:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
#If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed
ffmpeg.exe
```
Then use this command to start Webui:
```bash
python infer-web.py
```
If you are using Windows, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
We will develop an English version of the WebUI in 2 weeks.
There's also a tutorial on RVC in Chinese and you can check it out if needed.
## Credits
## Thanks to all contributors for their efforts
<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
<img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
</a>

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# Retrieval-based-Voice-Conversion-WebUI
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
缺失的2个文件夹和2个文件：
hubert_base.pt
ffmpeg（自己确保ffmpeg命令能执行就行）
pretrained文件夹
uvr5_weights文件夹
文件太大github传不动，去huggingface上下https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main
当然你也可以直接看看RVC-beta.7z这个文件→_→
按照requirements.txt用pip装好环境，python infer-web.py就能用了
根据经验，librosa numpy和numba三个包最好写死版本否则容易有坑，其他的包版本不太重要
宣传视频：https://www.bilibili.com/video/BV1pm4y1z7Gm/
教程见小白简易教程.doc
We will develop an English version windows WebUI APP in 2 weeks.
### Realtime Voice Conversion Software using RVC
https://github.com/w-okada/voice-changer

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@echo off && chcp 65001
echo working dir is %cd%
echo downloading requirement aria2 check.
echo=
dir /a:d/b | findstr "aria2" > flag.txt
findstr "aria2" flag.txt >nul
if %errorlevel% ==0 (
echo aria2 checked.
echo=
) else (
echo failed. please downloading aria2 from webpage!
echo unzip it and put in this directory!
timeout /T 5
start https://github.com/aria2/aria2/releases/tag/release-1.36.0
echo=
goto end
)
echo envfiles checking start.
echo=
for /f %%x in ('findstr /i /c:"aria2" "flag.txt"') do (set aria2=%%x)&goto endSch
:endSch
set d32=f0D32k.pth
set d40=f0D40k.pth
set d48=f0D48k.pth
set g32=f0G32k.pth
set g40=f0G40k.pth
set g48=f0G48k.pth
set dld32=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D32k.pth
set dld40=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D40k.pth
set dld48=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth
set dlg32=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth
set dlg40=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth
set dlg48=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth
set hp2=HP2-人声vocals+非人声instrumentals.pth
set hp5=HP5-主旋律人声vocals+其他instrumentals.pth
set dlhp2=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth
set dlhp5=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth
set hb=hubert_base.pt
set dlhb=https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt
echo dir check start.
echo=
if exist "%~dp0pretrained" (
echo dir .\pretrained checked.
) else (
echo failed. generating dir .\pretrained.
mkdir pretrained
)
if exist "%~dp0uvr5_weights" (
echo dir .\uvr5_weights checked.
) else (
echo failed. generating dir .\uvr5_weights.
mkdir uvr5_weights
)
echo=
echo dir check finished.
echo=
echo required files check start.
echo checking D32k.pth
if exist "%~dp0pretrained\D32k.pth" (
echo D32k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d %~dp0pretrained -o D32k.pth
if exist "%~dp0pretrained\D32k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking D40k.pth
if exist "%~dp0pretrained\D40k.pth" (
echo D40k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d %~dp0pretrained -o D40k.pth
if exist "%~dp0pretrained\D40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking D48k.pth
if exist "%~dp0pretrained\D48k.pth" (
echo D48k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d %~dp0pretrained -o D48k.pth
if exist "%~dp0pretrained\D48k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G32k.pth
if exist "%~dp0pretrained\G32k.pth" (
echo G32k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G32k.pth -d %~dp0pretrained -o G32k.pth
if exist "%~dp0pretrained\G32k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G40k.pth
if exist "%~dp0pretrained\G40k.pth" (
echo G40k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G40k.pth -d %~dp0pretrained -o G40k.pth
if exist "%~dp0pretrained\G40k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking G48k.pth
if exist "%~dp0pretrained\G48k.pth" (
echo G48k.pth in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G48k.pth -d %~dp0pretrained -o G48k.pth
if exist "%~dp0pretrained\G48k.pth" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d32%
if exist "%~dp0pretrained\%d32%" (
echo %d32% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld32% -d %~dp0pretrained -o %d32%
if exist "%~dp0pretrained\%d32%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d40%
if exist "%~dp0pretrained\%d40%" (
echo %d40% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld40% -d %~dp0pretrained -o %d40%
if exist "%~dp0pretrained\%d40%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %d48%
if exist "%~dp0pretrained\%d48%" (
echo %d48% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dld48% -d %~dp0pretrained -o %d48%
if exist "%~dp0pretrained\%d48%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g32%
if exist "%~dp0pretrained\%g32%" (
echo %g32% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg32% -d %~dp0pretrained -o %g32%
if exist "%~dp0pretrained\%g32%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g40%
if exist "%~dp0pretrained\%g40%" (
echo %g40% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg40% -d %~dp0pretrained -o %g40%
if exist "%~dp0pretrained\%g40%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %g48%
if exist "%~dp0pretrained\%g48%" (
echo %g48% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlg48% -d %~dp0\pretrained -o %g48%
if exist "%~dp0pretrained\%g48%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hp2%
if exist "%~dp0uvr5_weights\%hp2%" (
echo %hp2% in .\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhp2% -d %~dp0\uvr5_weights -o %hp2%
if exist "%~dp0uvr5_weights\%hp2%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hp5%
if exist "%~dp0uvr5_weights\%hp5%" (
echo %hp5% in .\uvr5_weights checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhp5% -d %~dp0\uvr5_weights -o %HP5%
if exist "%~dp0uvr5_weights\%hp5%" (echo download successful.) else (echo please try again!
echo=)
)
echo checking %hb%
if exist "%~dp0%hb%" (
echo %hb% in .\pretrained checked.
echo=
) else (
echo failed. starting download from huggingface.
%~dp0%aria2%\aria2c --console-log-level=error -c -x 16 -s 16 -k 1M %dlhb% -d %~dp0 -o %hb%
if exist "%~dp0%hb%" (echo download successful.) else (echo please try again!
echo=)
)
echo required files check finished.
echo envfiles check complete.
pause
:end
del flag.txt

29
infer-web.py
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@ -146,21 +146,22 @@ def uvr(model_name,inp_root,save_root_vocal,paths,save_root_ins):
#一个选项卡全局只能有一个音色
def get_vc(sid):
global n_spk,tgt_sr,net_g,vc,cpt
if(sid==""):
if(sid==[]):
global hubert_model
print("clean_empty_cache")
del net_g, n_spk, vc, hubert_model,tgt_sr#,cpt
hubert_model = net_g=n_spk=vc=hubert_model=tgt_sr=None
torch.cuda.empty_cache()
###楼下不这么折腾清理不干净
if_f0 = cpt.get("f0", 1)
if (if_f0 == 1):
net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
else:
net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
del net_g,cpt
torch.cuda.empty_cache()
cpt=None
if (hubert_model != None): # 考虑到轮询，需要加个判断看是否 sid 是由有模型切换到无模型的
print("clean_empty_cache")
del net_g, n_spk, vc, hubert_model,tgt_sr#,cpt
hubert_model = net_g=n_spk=vc=hubert_model=tgt_sr=None
torch.cuda.empty_cache()
###楼下不这么折腾清理不干净
if_f0 = cpt.get("f0", 1)
if (if_f0 == 1):
net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
else:
net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
del net_g,cpt
torch.cuda.empty_cache()
cpt=None
return {"visible": False, "__type__": "update"}
person = "%s/%s" % (weight_root, sid)
print("loading %s"%person)

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[tool.poetry]
name = "rvc-beta"
version = "0.1.0"
description = ""
authors = ["lj1995"]
license = "MIT"
[tool.poetry.dependencies]
python = "^3.8"
torch = "^2.0.0"
torchaudio = "^2.0.1"
Cython = "^0.29.34"
gradio = "^3.24.1"
future = "^0.18.3"
pydub = "^0.25.1"
soundfile = "^0.12.1"
ffmpeg-python = "^0.2.0"
tensorboardX = "^2.6"
functorch = "^2.0.0"
fairseq = "^0.12.2"
faiss-gpu = "^1.7.2"
faiss-cpu = "^1.7.3"
Jinja2 = "^3.1.2"
json5 = "^0.9.11"
librosa = "0.9.2"
llvmlite = "0.39.0"
Markdown = "^3.4.3"
matplotlib = "^3.7.1"
matplotlib-inline = "^0.1.6"
numba = "0.56.4"
numpy = "1.23.5"
scipy = "1.9.3"
praat-parselmouth = "^0.4.3"
Pillow = "9.1.1"
pyworld = "^0.3.2"
resampy = "^0.4.2"
scikit-learn = "^1.2.2"
starlette = "^0.26.1"
tensorboard = "^2.12.1"
tensorboard-data-server = "^0.7.0"
tensorboard-plugin-wit = "^1.8.1"
torchgen = "^0.0.1"
tqdm = "^4.65.0"
tornado = "^6.2"
Werkzeug = "^2.2.3"
uc-micro-py = "^1.0.1"
sympy = "^1.11.1"
tabulate = "^0.9.0"
PyYAML = "^6.0"
pyasn1 = "^0.4.8"
pyasn1-modules = "^0.2.8"
fsspec = "^2023.3.0"
absl-py = "^1.4.0"
audioread = "^3.0.0"
uvicorn = "^0.21.1"
colorama = "^0.4.6"
[tool.poetry.dev-dependencies]
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

188
requirements.txt
View File

@ -1,188 +0,0 @@
absl-py==1.1.0
aiofiles==23.1.0
aiohttp==3.8.4
aiosignal==1.3.1
altair==4.2.0
antlr4-python3-runtime==4.8
anyio==3.6.1
appdirs==1.4.4
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.5
async-timeout==4.0.2
attrs==21.4.0
audioread==3.0.0
Babel==2.10.3
backcall==0.2.0
beautifulsoup4==4.11.1
bitarray==2.7.3
bleach==5.0.0
brotlipy==0.7.0
cachetools==5.2.0
certifi==2021.5.30
cffi
chardet
charset-normalizer==3.0.1
click==8.1.3
cmake==3.25.0
colorama==0.4.5
cryptography
cycler==0.11.0
Cython==0.29.32
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
entrypoints==0.4
executing==0.8.3
fairseq==0.12.2
faiss-gpu==1.7.2
fastapi==0.92.0
fastjsonschema==2.15.3
ffmpeg-python
ffmpy==0.3.0
filelock==3.9.0
fonttools==4.33.3
frozenlist==1.3.3
fsspec==2022.11.0
functorch==2.0.0
future==0.18.3
google==3.0.0
google-auth==2.8.0
google-auth-oauthlib==0.4.6
googleads==3.8.0
gradio==3.19.1
grpcio==1.46.3
h11==0.13.0
httpcore==0.16.3
httplib2==0.21.0
httpx==0.23.1
Hydra==2.5
hydra-core==1.0.7
idna
importlib-metadata==4.11.4
importlib-resources==5.8.0
ipykernel==6.15.0
ipython==8.4.0
ipython-genutils==0.2.0
ipywidgets==7.7.0
jedi==0.18.1
Jinja2==3.1.2
joblib==1.1.0
json5==0.9.8
jsonschema==4.6.0
kiwisolver==1.4.3
lazy-loader==0.1
librosa==0.9.2
linkify-it-py==2.0.0
lit==15.0.7
llvmlite==0.39.0
lxml==4.8.0
Markdown==3.3.7
markdown-it-py==2.2.0
MarkupSafe==2.1.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
mdit-py-plugins==0.3.3
mdurl==0.1.1
mistune==0.8.4
mpmath==1.2.1
msgpack==1.0.4
multidict==6.0.2
nbclassic==0.3.7
nbclient==0.6.4
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
networkx==2.8.8
notebook==6.4.12
notebook-shim==0.1.0
numba==0.56.4
numpy==1.23.5
oauth2client==4.1.3
oauthlib==3.2.0
omegaconf==2.0.6
orjson==3.8.6
packaging==21.3
pandas==1.5.2
pandocfilters==1.5.0
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.1.1
pooch==1.6.0
portalocker==2.5.1
praat-parselmouth==0.4.2
prometheus-client==0.14.1
prompt-toolkit==3.0.29
protobuf==3.19.4
psutil==5.9.1
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycosat==0.6.3
pycparser
pycryptodome==3.16.0
pydantic==1.10.5
pydub==0.25.1
Pygments==2.12.0
pyOpenSSL
pyparsing==3.0.9
pyrsistent==0.18.1
PySocks
python-dateutil==2.8.2
python-multipart==0.0.5
pytz==2022.6
pyworld==0.3.2
PyYAML==6.0
pyzmq==23.2.0
regex==2022.10.31
requests
requests-oauthlib==1.3.1
resampy==0.4.2
rfc3986==1.5.0
rsa==4.8
ruamel-yaml-conda
sacrebleu==2.3.1
scikit-learn==1.1.3
scipy==1.9.3
Send2Trash==1.8.0
six
sniffio==1.2.0
soundfile==0.12.1
soupsieve==2.3.2.post1
soxr==0.3.3
stack-data==0.3.0
starlette==0.25.0
stopit==1.1.1
suds-jurko==0.6
supervisor==4.2.4
sympy==1.11.1
tabulate==0.8.10
tensorboard==2.9.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
terminado==0.15.0
threadpoolctl==3.1.0
tinycss2==1.1.1
toolz==0.12.0
torch==2.0.0+cu117
torchaudio==2.0.1+cu117
torchgen==0.0.1
torchvision==0.15.1+cu117
tornado==6.1
tqdm
traitlets==5.3.0
triton==2.0.0
typing-extensions==4.2.0
uc-micro-py==1.0.1
urllib3==1.26.13
uvicorn==0.21.1
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.3.3
websockets==10.3
Werkzeug==2.1.2
widgetsnbextension==3.6.0
yarl==1.8.1
zipp==3.8.0

44
requirments.txt Normal file
View File

@ -0,0 +1,44 @@
numba==0.56.4
numpy==1.23.5
scipy==1.9.3
librosa==0.9.2
llvmlite==0.39.0
fairseq==0.12.2
faiss-cpu==1.7.2
gradio
Cython
future>=0.18.3
pydub>=0.25.1
soundfile>=0.12.1
ffmpeg-python>=0.2.0
tensorboardX
functorch>=2.0.0
Jinja2>=3.1.2
json5>=0.9.11
Markdown
matplotlib>=3.7.1
matplotlib-inline>=0.1.6
praat-parselmouth>=0.4.3
Pillow>=9.1.1
pyworld>=0.3.2
resampy>=0.4.2
scikit-learn>=1.2.2
starlette>=0.26.1
tensorboard
tensorboard-data-server
tensorboard-plugin-wit
torchgen>=0.0.1
tqdm>=4.65.0
tornado>=6.2
Werkzeug>=2.2.3
uc-micro-py>=1.0.1
sympy>=1.11.1
tabulate>=0.9.0
PyYAML>=6.0
pyasn1>=0.4.8
pyasn1-modules>=0.2.8
fsspec>=2023.3.0
absl-py>=1.4.0
audioread
uvicorn>=0.21.1
colorama>=0.4.6