Fix dependency-related issues via requirements update (#2236)

* Update requirements.txt * Create constraints.txt * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * pyopenjtalk and onnx fix * Update requirements.txt * Update requirements.txt * Update install.sh * update shell install.sh * update docs * Update Install.sh * fix bugs * Update .gitignore * Update .gitignore * Update install.sh * Update install.sh * Update extra-req.txt * Update requirements.txt
2025-04-05 04:22:46 +08:00 · 2025-03-31 04:27:12 +01:00 · 2025-03-31 04:27:12 +01:00 · 6c468583c5
commit 6c468583c5
parent ee4a466f79
12 changed files with 527 additions and 200 deletions
--- a/.gitignore
+++ b/.gitignore
@ -18,5 +18,183 @@ TEMP
 weight.json
 ffmpeg*
 ffprobe*
+cfg.json
+speakers.json
+ref_audios
 tools/AP_BWE_main/24kto48k/*
 !tools/AP_BWE_main/24kto48k/readme.txt
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
--- a/GPT_SoVITS_Inference.ipynb
+++ b/GPT_SoVITS_Inference.ipynb
@ -1,42 +1,37 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "accelerator": "GPU"
-  },
  "cells": [
    {
      "cell_type": "markdown",
-      "source": [
-        "# Credits for bubarino giving me the huggingface import code (感谢 bubarino 给了我 huggingface 导入代码)"
-      ],
      "metadata": {
        "id": "himHYZmra7ix"
-      }
+      },
+      "source": [
+        "# Credits for bubarino giving me the huggingface import code (感谢 bubarino 给了我 huggingface 导入代码)"
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
      "metadata": {
        "id": "e9b7iFV3dm1f"
      },
+      "outputs": [],
      "source": [
        "!git clone https://github.com/RVC-Boss/GPT-SoVITS.git\n",
        "%cd GPT-SoVITS\n",
        "!apt-get update && apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && git lfs install\n",
+        "!pip install -r extra-req.txt --no-deps\n",
        "!pip install -r requirements.txt"
-      ],
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "0NgxXg5sjv7z"
+      },
+      "outputs": [],
      "source": [
        "# @title Download pretrained models 下载预训练模型\n",
        "!mkdir -p /content/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
@ -53,16 +48,16 @@
        "!git clone https://huggingface.co/Delik/uvr5_weights\n",
        "!git config core.sparseCheckout true\n",
        "!mv /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/GPT-SoVITS/* /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/"
-      ],
-      "metadata": {
-        "id": "0NgxXg5sjv7z",
-        "cellView": "form"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "cPDEH-9czOJF"
+      },
+      "outputs": [],
      "source": [
        "#@title Create folder models 创建文件夹模型\n",
        "import os\n",
@ -77,16 +72,16 @@
        "    print(f\"The folder '{folder_name}' was created successfully! (文件夹'{folder_name}'已成功创建！)\")\n",
        "\n",
        "print(\"All folders have been created. (所有文件夹均已创建。)\")"
-      ],
-      "metadata": {
-        "cellView": "form",
-        "id": "cPDEH-9czOJF"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "vbZY-LnM0tzq"
+      },
+      "outputs": [],
      "source": [
        "import requests\n",
        "import zipfile\n",
@ -124,29 +119,35 @@
        "        shutil.move(source_path, destination_path)\n",
        "\n",
        "print(f'Model downloaded. (模型已下载。)')"
-      ],
-      "metadata": {
-        "cellView": "form",
-        "id": "vbZY-LnM0tzq"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "4oRGUzkrk8C7"
+      },
+      "outputs": [],
      "source": [
        "# @title launch WebUI 启动WebUI\n",
        "!/usr/local/bin/pip install ipykernel\n",
        "!sed -i '10s/False/True/' /content/GPT-SoVITS/config.py\n",
        "%cd /content/GPT-SoVITS/\n",
        "!/usr/local/bin/python  webui.py"
-      ],
-      "metadata": {
-        "id": "4oRGUzkrk8C7",
-        "cellView": "form"
-      },
-      "execution_count": null,
-      "outputs": []
-    }
      ]
    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
--- a/README.md
+++ b/README.md
@ -1,6 +1,5 @@
 <div align="center">

-
 <h1>GPT-SoVITS-WebUI</h1>
 A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>

@ -77,6 +76,7 @@ bash install.sh
 ```bash
 conda create -n GPTSoVits python=3.9
 conda activate GPTSoVits
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -105,6 +105,7 @@ Download and place [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWeb
 Install [Visual Studio 2017](https://aka.ms/vs/17/release/vc_redist.x86.exe) (Korean TTS Only)

 ##### MacOS Users
+
 ```bash
 brew install ffmpeg
 ```
@ -112,6 +113,7 @@ brew install ffmpeg
 #### Install Dependences

 ```bash
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -200,6 +202,7 @@ if you want to switch to V1,then
 ```bash
 python webui.py v1 <language(optional)>
 ```
+
 Or maunally switch version in WebUI

 ### Finetune
@ -224,11 +227,13 @@ Double-click `go-webui-v2.bat` or use `go-webui-v2.ps1` ,then open the inference
 ```bash
 python GPT_SoVITS/inference_webui.py <language(optional)>
 ```
+
 OR

 ```bash
 python webui.py
 ```
+
 then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`

 ## V2 Release Notes
@ -243,7 +248,7 @@ New Features:

 4. Improved synthesis quality for low-quality reference audio

-    [more details](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   [more details](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 Use v2 from v1 environment:

@ -263,7 +268,7 @@ New Features:

 2. GPT model is more stable, with fewer repetitions and omissions, and it is easier to generate speech with richer emotional expression.

-    [more details](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))
+   [more details](<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)>)

 Use v3 from v2 environment:

@ -275,7 +280,6 @@ Use v3 from v2 environment:

   additional: for Audio Super Resolution model, you can read [how to download](./tools/AP_BWE_main/24kto48k/readme.txt)

-
 ## Todo List

 - [x] **High Priority:**
@ -297,15 +301,20 @@ Use v3 from v2 environment:
  - [ ] model mix

 ## (Additional) Method for running from the command line
+
 Use the command line to open the WebUI for 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
+
 ```
 python audio_slicer.py \
    --input_path "<path_to_original_audio_file_or_directory>" \
@ -315,16 +324,21 @@ python audio_slicer.py \
    --min_interval <shortest_time_gap_between_adjacent_subclips>
    --hop_size <step_size_for_computing_volume_curve>
 ```
+
 This is how dataset ASR processing is done using the command line(Only Chinese)
+
 ```
 python tools/asr/funasr_asr.py -i <input> -o <output>
 ```
+
 ASR processing is performed through Faster_Whisper(ASR marking except Chinese)

 (No progress bars, GPU performance may cause time delays)
+
 ```
 python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
 ```
+
 A custom list save path is enabled

 ## Credits
@ -332,6 +346,7 @@ A custom list save path is enabled
 Special thanks to the following projects and contributors:

 ### Theoretical Research
+
 - [ar-vits](https://github.com/innnky/ar-vits)
 - [SoundStorm](https://github.com/yangdongchao/SoundStorm/tree/master/soundstorm/s1/AR)
 - [vits](https://github.com/jaywalnut310/vits)
@ -341,17 +356,23 @@ Special thanks to the following projects and contributors:
 - [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
 - [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
 - [shortcut flow matching](https://github.com/kvfrans/shortcut-models/blob/main/targets_shortcut.py)
+
 ### Pretrained Models
+
 - [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
 - [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
 - [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+
 ### Text Frontend for Inference
+
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [split-lang](https://github.com/DoodleBears/split-lang)
 - [g2pW](https://github.com/GitYCC/g2pW)
 - [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
 - [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
+
 ### WebUI Tools
+
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)
 - [SubFix](https://github.com/cronrpc/SubFix)
--- a/colab_webui.ipynb
+++ b/colab_webui.ipynb
@ -1,23 +1,10 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": [],
-      "include_colab_link": true
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "accelerator": "GPU"
-  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
+        "colab_type": "text",
+        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@ -25,18 +12,20 @@
    },
    {
      "cell_type": "markdown",
-      "source": [
-        "环境配置 environment"
-      ],
      "metadata": {
        "id": "_o6a8GS2lWQM"
-      }
+      },
+      "source": [
+        "环境配置 environment"
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
      "metadata": {
        "id": "e9b7iFV3dm1f"
      },
+      "outputs": [],
      "source": [
        "!pip install -q condacolab\n",
        "# Setting up condacolab and installing packages\n",
@ -47,13 +36,17 @@
        "!conda install -y -q -c pytorch -c nvidia cudatoolkit\n",
        "%cd -q /content/GPT-SoVITS\n",
        "!conda install -y -q -c conda-forge gcc gxx ffmpeg cmake -c pytorch -c nvidia\n",
+        "!/usr/local/bin/pip install -r extra-req.txt --no-deps\n",
        "!/usr/local/bin/pip install -r requirements.txt"
-      ],
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "0NgxXg5sjv7z"
+      },
+      "outputs": [],
      "source": [
        "# @title Download pretrained models 下载预训练模型\n",
        "!mkdir -p /content/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
@ -71,27 +64,35 @@
        "!git clone https://huggingface.co/Delik/uvr5_weights\n",
        "!git config core.sparseCheckout true\n",
        "!mv /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/GPT-SoVITS/* /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/"
-      ],
-      "metadata": {
-        "id": "0NgxXg5sjv7z"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
    },
    {
      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "4oRGUzkrk8C7"
+      },
+      "outputs": [],
      "source": [
        "# @title launch WebUI 启动WebUI\n",
        "!/usr/local/bin/pip install ipykernel\n",
        "!sed -i '10s/False/True/' /content/GPT-SoVITS/config.py\n",
        "%cd /content/GPT-SoVITS/\n",
        "!/usr/local/bin/python  webui.py"
-      ],
-      "metadata": {
-        "id": "4oRGUzkrk8C7"
-      },
-      "execution_count": null,
-      "outputs": []
-    }
      ]
    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "include_colab_link": true,
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
--- a/docs/cn/README.md
+++ b/docs/cn/README.md
@ -76,6 +76,7 @@ bash install.sh
 ```bash
 conda create -n GPTSoVits python=3.9
 conda activate GPTSoVits
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -104,6 +105,7 @@ conda install -c conda-forge 'ffmpeg<7'
 安装 [Visual Studio 2017](https://aka.ms/vs/17/release/vc_redist.x86.exe) 环境(仅限韩语 TTS)

 ##### MacOS 用户
+
 ```bash
 brew install ffmpeg
 ```
@ -111,6 +113,7 @@ brew install ffmpeg
 #### 安装依赖

 ```bash
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -155,7 +158,6 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker

   - 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。

 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。
@ -202,6 +204,7 @@ python webui.py <language(optional)>
 ```bash
 python webui.py v1 <language(optional)>
 ```
+
 或者在 webUI 内动态切换

 ### 微调
@ -226,11 +229,13 @@ python webui.py v1 <language(optional)>
 ```bash
 python GPT_SoVITS/inference_webui.py <language(optional)>
 ```
+
 或者

 ```bash
 python webui.py
 ```
+
 然后在 `1-GPT-SoVITS-TTS/1C-推理` 中打开推理 webUI

 ## V2 发布说明
@ -245,7 +250,7 @@ python webui.py

 4. 对低音质参考音频（尤其是来源于网络的高频严重缺失、听着很闷的音频）合成出来音质更好

-    详见[wiki](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   详见[wiki](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 从 v1 环境迁移至 v2

@ -265,7 +270,7 @@ python webui.py

 2. GPT 合成更稳定，重复漏字更少，也更容易跑出丰富情感

-    详见[wiki](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   详见[wiki](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 从 v2 环境迁移至 v3

@ -277,7 +282,6 @@ python webui.py

   如果想用音频超分功能缓解 v3 模型生成 24k 音频觉得闷的问题，需要下载额外的模型参数，参考[how to download](../../tools/AP_BWE_main/24kto48k/readme.txt)

-
 ## 待办事项清单

 - [x] **高优先级：**
@ -299,16 +303,21 @@ python webui.py
  - [ ] 模型混合。

 ## （附加）命令行运行方式
+
 使用命令行打开 UVR5 的 WebUI
-````
+
+```
 python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
-````
+```
+
 <!-- 如果打不开浏览器，请按照下面的格式进行UVR处理，这是使用mdxnet进行音频处理的方式
 ````
 python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
 ```` -->
+
 这是使用命令行完成数据集的音频切分的方式
-````
+
+```
 python audio_slicer.py \
    --input_path "<path_to_original_audio_file_or_directory>" \
    --output_root "<directory_where_subdivided_audio_clips_will_be_saved>" \
@ -316,17 +325,22 @@ python audio_slicer.py \
    --min_length <minimum_duration_of_each_subclip> \
    --min_interval <shortest_time_gap_between_adjacent_subclips>
    --hop_size <step_size_for_computing_volume_curve>
-````
+```
+
 这是使用命令行完成数据集 ASR 处理的方式（仅限中文）
-````
+
+```
 python tools/asr/funasr_asr.py -i <input> -o <output>
-````
+```
+
 通过 Faster_Whisper 进行 ASR 处理（除中文之外的 ASR 标记）

 （没有进度条，GPU 性能可能会导致时间延迟）
+
 ```
 python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
 ```
+
 启用自定义列表保存路径

 ## 致谢
@ -334,6 +348,7 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 特别感谢以下项目和贡献者：

 ### 理论研究
+
 - [ar-vits](https://github.com/innnky/ar-vits)
 - [SoundStorm](https://github.com/yangdongchao/SoundStorm/tree/master/soundstorm/s1/AR)
 - [vits](https://github.com/jaywalnut310/vits)
@ -343,17 +358,23 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 - [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
 - [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
 - [shortcut flow matching](https://github.com/kvfrans/shortcut-models/blob/main/targets_shortcut.py)
+
 ### 预训练模型
+
 - [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
 - [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
 - [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+
 ### 推理用文本前端
+
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [split-lang](https://github.com/DoodleBears/split-lang)
 - [g2pW](https://github.com/GitYCC/g2pW)
 - [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
 - [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
+
 ### WebUI 工具
+
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)
 - [SubFix](https://github.com/cronrpc/SubFix)
--- a/docs/ja/README.md
+++ b/docs/ja/README.md
@ -70,7 +70,7 @@ bash install.sh
 ```bash
 conda create -n GPTSoVits python=3.9
 conda activate GPTSoVits
-
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -97,6 +97,7 @@ conda install -c conda-forge 'ffmpeg<7'
 [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) と [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) をダウンロードし、GPT-SoVITS のルートフォルダに置きます。

 ##### MacOS ユーザー
+
 ```bash
 brew install ffmpeg
 ```
@ -104,6 +105,7 @@ brew install ffmpeg
 #### 依存関係をインストールします

 ```bash
+pip install -r extra-req.txt --no-deps
 pip install -r requirementx.txt
 ```

@ -169,6 +171,7 @@ vocal_path|speaker_name|language|text
 ```
 D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
 ```
+
 ## 微調整と推論

 ### WebUI を開く
@ -189,6 +192,7 @@ 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
@ -213,11 +217,13 @@ python webui.py v1 <言語(オプション)>
 ```bash
 python GPT_SoVITS/inference_webui.py <言語(オプション)>
 ```
+
 または

 ```bash
 python webui.py
 ```
+
 その後、`1-GPT-SoVITS-TTS/1C-inference`で推論 webui を開きます。

 ## V2 リリースノート
@ -232,7 +238,7 @@ python webui.py

 4. 低品質の参照音声に対する合成品質の向上

-    [詳細はこちら](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   [詳細はこちら](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 V1 環境から V2 を使用するには:

@ -252,7 +258,7 @@ V1環境からV2を使用するには:

 2. GPT モデルがより安定し、繰り返しや省略が減少し、より豊かな感情表現を持つ音声の生成が容易になりました。

-    [詳細情報はこちら](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))
+   [詳細情報はこちら](<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 環境から v3 を使用する方法:

@ -285,15 +291,20 @@ v2 環境から v3 を使用する方法:
  - [ ] モデルミックス

 ## (追加の) コマンドラインから実行する方法
+
 コマンド ラインを使用して UVR5 の WebUI を開きます
+
 ```
 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。
+
 ```
 python audio_slicer.py \
    --input_path "<path_to_original_audio_file_or_directory>" \
@ -303,16 +314,21 @@ python audio_slicer.py \
    --min_interval <shortest_time_gap_between_adjacent_subclips>
    --hop_size <step_size_for_computing_volume_curve>
 ```
+
 コマンドラインを使用してデータセット ASR 処理を行う方法です (中国語のみ)
+
 ```
 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)

 (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)
+
 ```
 python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
 ```
+
 カスタムリストの保存パスが有効になっています

 ## クレジット
@ -320,6 +336,7 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 特に以下のプロジェクトと貢献者に感謝します：

 ### 理論研究
+
 - [ar-vits](https://github.com/innnky/ar-vits)
 - [SoundStorm](https://github.com/yangdongchao/SoundStorm/tree/master/soundstorm/s1/AR)
 - [vits](https://github.com/jaywalnut310/vits)
@ -329,17 +346,23 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 - [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
 - [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
 - [shortcut flow matching](https://github.com/kvfrans/shortcut-models/blob/main/targets_shortcut.py)
+
 ### 事前学習モデル
+
 - [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
 - [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
 - [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+
 ### 推論用テキストフロントエンド
+
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [split-lang](https://github.com/DoodleBears/split-lang)
 - [g2pW](https://github.com/GitYCC/g2pW)
 - [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
 - [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
+
 ### WebUI ツール
+
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)
 - [SubFix](https://github.com/cronrpc/SubFix)
--- a/docs/ko/README.md
+++ b/docs/ko/README.md
@ -70,7 +70,7 @@ bash install.sh
 ```bash
 conda create -n GPTSoVits python=3.9
 conda activate GPTSoVits
-
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -99,6 +99,7 @@ conda install -c conda-forge 'ffmpeg<7'
 [Visual Studio 2017](https://aka.ms/vs/17/release/vc_redist.x86.exe) 설치 (Korean TTS 전용)

 ##### MacOS 사용자
+
 ```bash
 brew install ffmpeg
 ```
@ -106,6 +107,7 @@ brew install ffmpeg
 #### 의존성 설치

 ```bash
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -195,6 +197,7 @@ V1으로 전환하려면,
 ```bash
 python webui.py v1 <언어(옵션)>
 ```
+
 또는 WebUI에서 수동으로 버전을 전환하십시오.

 ### 미세 조정
@ -219,11 +222,13 @@ python webui.py v1 <언어(옵션)>
 ```bash
 python GPT_SoVITS/inference_webui.py <언어(옵션)>
 ```
+
 또는

 ```bash
 python webui.py
 ```
+
 그런 다음 `1-GPT-SoVITS-TTS/1C-inference`에서 추론 webui를 엽니다.

 ## V2 릴리스 노트
@ -238,7 +243,7 @@ python webui.py

 4. 저품질 참조 오디오에 대한 합성 품질 향상

-    [자세한 내용](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   [자세한 내용](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 V1 환경에서 V2를 사용하려면:

@ -258,7 +263,7 @@ V1 환경에서 V2를 사용하려면:

 2. GPT 모델이 더 안정적이며 반복 및 생략이 적고, 더 풍부한 감정 표현을 가진 음성을 생성하기가 더 쉽습니다.

-    [자세한 내용](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))
+   [자세한 내용](<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 환경에서 v3 사용하기:

@ -270,7 +275,6 @@ v2 환경에서 v3 사용하기:

   추가: 오디오 슈퍼 해상도 모델에 대해서는 [다운로드 방법](../../tools/AP_BWE_main/24kto48k/readme.txt)을 참고하세요.

-
 ## 할 일 목록

 - [x] **최우선순위:**
@ -293,15 +297,20 @@ v2 환경에서 v3 사용하기:
  - [ ] 모델 블렌딩.

 ## (추가적인) 명령줄에서 실행하는 방법
+
 명령줄을 사용하여 UVR5용 WebUI 열기
+
 ```
 python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
 ```
+
 <!-- 브라우저를 열 수 없는 경우 UVR 처리를 위해 아래 형식을 따르십시오. 이는 오디오 처리를 위해 mdxnet을 사용하는 것입니다.
 ```
 python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision
 ``` -->
+
 명령줄을 사용하여 데이터세트의 오디오 분할을 수행하는 방법은 다음과 같습니다.
+
 ```
 python audio_slicer.py \
    --input_path "<path_to_original_audio_file_or_directory>" \
@ -311,16 +320,21 @@ python audio_slicer.py \
    --min_interval <shortest_time_gap_between_adjacent_subclips>
    --hop_size <step_size_for_computing_volume_curve>
 ```
+
 명령줄을 사용하여 데이터 세트 ASR 처리를 수행하는 방법입니다(중국어만 해당).
+
 ```
 python tools/asr/funasr_asr.py -i <input> -o <output>
 ```
+
 ASR 처리는 Faster_Whisper(중국어를 제외한 ASR 마킹)를 통해 수행됩니다.

 (진행률 표시줄 없음, GPU 성능으로 인해 시간 지연이 발생할 수 있음)
+
 ```
 python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p <precision>
 ```
+
 사용자 정의 목록 저장 경로가 활성화되었습니다.

 ## 감사의 말
@ -328,6 +342,7 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 다음 프로젝트와 기여자들에게 특별히 감사드립니다:

 ### 이론 연구
+
 - [ar-vits](https://github.com/innnky/ar-vits)
 - [SoundStorm](https://github.com/yangdongchao/SoundStorm/tree/master/soundstorm/s1/AR)
 - [vits](https://github.com/jaywalnut310/vits)
@ -337,17 +352,23 @@ python ./tools/asr/fasterwhisper_asr.py -i <input> -o <output> -l <language> -p
 - [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
 - [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
 - [shortcut flow matching](https://github.com/kvfrans/shortcut-models/blob/main/targets_shortcut.py)
+
 ### 사전 학습 모델
+
 - [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
 - [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
 - [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+
 ### 추론용 텍스트 프론트엔드
+
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [split-lang](https://github.com/DoodleBears/split-lang)
 - [g2pW](https://github.com/GitYCC/g2pW)
 - [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
 - [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
+
 ### WebUI 도구
+
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)
 - [SubFix](https://github.com/cronrpc/SubFix)
--- a/docs/tr/README.md
+++ b/docs/tr/README.md
@ -72,7 +72,7 @@ bash install.sh
 ```bash
 conda create -n GPTSoVits python=3.9
 conda activate GPTSoVits
-
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -99,6 +99,7 @@ conda install -c conda-forge 'ffmpeg<7'
 [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) ve [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) dosyalarını indirin ve GPT-SoVITS kök dizinine yerleştirin.

 ##### MacOS Kullanıcıları
+
 ```bash
 brew install ffmpeg
 ```
@ -106,6 +107,7 @@ brew install ffmpeg
 #### Bağımlılıkları Yükleme

 ```bash
+pip install -r extra-req.txt --no-deps
 pip install -r requirements.txt
 ```

@ -192,6 +194,7 @@ V1'e geçmek istiyorsanız,
 ```bash
 python webui.py v1 <dil(isteğe bağlı)>
 ```
+
 veya WebUI'de manuel olarak sürüm değiştirin.

 ### İnce Ayar
@ -216,11 +219,13 @@ veya WebUI'de manuel olarak sürüm değiştirin.
 ```bash
 python GPT_SoVITS/inference_webui.py <dil(isteğe bağlı)>
 ```
+
 VEYA

 ```bash
 python webui.py
 ```
+
 ardından çıkarım webui'sini `1-GPT-SoVITS-TTS/1C-inference` adresinde açın.

 ## V2 Sürüm Notları
@ -235,7 +240,7 @@ Yeni Özellikler:

 4. Düşük kaliteli referans sesler için geliştirilmiş sentez kalitesi

-    [detaylar burada](https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7))
+   [detaylar burada](<https://github.com/RVC-Boss/GPT-SoVITS/wiki/GPT%E2%80%90SoVITS%E2%80%90v2%E2%80%90features-(%E6%96%B0%E7%89%B9%E6%80%A7)>)

 V1 ortamından V2'yi kullanmak için:

@ -255,7 +260,7 @@ V1 ortamından V2'yi kullanmak için:

 2. GPT modeli daha **kararlı** hale geldi, tekrarlar ve atlamalar azaldı ve **daha zengin duygusal ifadeler** ile konuşma üretmek daha kolay hale geldi.

-    [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:

@ -288,15 +293,20 @@ V1 ortamından V2'yi kullanmak için:
  - [ ] model karışımı

 ## (Ekstra) Komut satırından çalıştırma yöntemi
+
 UVR5 için Web Arayüzünü açmak için komut satırını kullanın
+
 ```
 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
+
 ```
 python audio_slicer.py \
    --input_path "<orijinal_ses_dosyası_veya_dizininin_yolu>" \
@ -306,16 +316,21 @@ python audio_slicer.py \
    --min_interval <bitişik_alt_klipler_arasındaki_en_kısa_zaman_aralığı>
    --hop_size <ses_eğrisini_hesaplamak_için_adım_boyutu>
 ```
+
 Veri seti ASR işleme komut satırı kullanılarak bu şekilde yapılır (Yalnızca Çince)
+
 ```
 python tools/asr/funasr_asr.py -i <girdi> -o <çıktı>
 ```
+
 ASR işleme Faster_Whisper aracılığıyla gerçekleştirilir (Çince dışındaki ASR işaretleme)

 (İlerleme çubukları yok, GPU performansı zaman gecikmelerine neden olabilir)
+
 ```
 python ./tools/asr/fasterwhisper_asr.py -i <girdi> -o <çıktı> -l <dil>
 ```
+
 Özel bir liste kaydetme yolu etkinleştirildi

 ## Katkı Verenler
@ -323,6 +338,7 @@ python ./tools/asr/fasterwhisper_asr.py -i <girdi> -o <çıktı> -l <dil>
 Özellikle aşağıdaki projelere ve katkıda bulunanlara teşekkür ederiz:

 ### Teorik Araştırma
+
 - [ar-vits](https://github.com/innnky/ar-vits)
 - [SoundStorm](https://github.com/yangdongchao/SoundStorm/tree/master/soundstorm/s1/AR)
 - [vits](https://github.com/jaywalnut310/vits)
@ -332,17 +348,23 @@ python ./tools/asr/fasterwhisper_asr.py -i <girdi> -o <çıktı> -l <dil>
 - [fish-speech](https://github.com/fishaudio/fish-speech/blob/main/tools/llama/generate.py#L41)
 - [f5-TTS](https://github.com/SWivid/F5-TTS/blob/main/src/f5_tts/model/backbones/dit.py)
 - [shortcut flow matching](https://github.com/kvfrans/shortcut-models/blob/main/targets_shortcut.py)
+
 ### Önceden Eğitilmiş Modeller
+
 - [Chinese Speech Pretrain](https://github.com/TencentGameMate/chinese_speech_pretrain)
 - [Chinese-Roberta-WWM-Ext-Large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large)
 - [BigVGAN](https://github.com/NVIDIA/BigVGAN)
+
 ### Tahmin İçin Metin Ön Ucu
+
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [split-lang](https://github.com/DoodleBears/split-lang)
 - [g2pW](https://github.com/GitYCC/g2pW)
 - [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
 - [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
+
 ### WebUI Araçları
+
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)
 - [SubFix](https://github.com/cronrpc/SubFix)
--- a/extra-req.txt
+++ b/extra-req.txt
@ -0,0 +1 @@
+faster-whisper
--- a/gpt-sovits_kaggle.ipynb
+++ b/gpt-sovits_kaggle.ipynb
@ -27,7 +27,8 @@
    "!git clone https://github.com/RVC-Boss/GPT-SoVITS.git\n",
    "%cd GPT-SoVITS\n",
    "!apt-get update && apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && git lfs install\n",
-    "!pip install -r requirements.txt"
+    "!pip install -r requirements.txt\n",
+    "!pip install -r extra-req.txt --no-deps"
   ]
  },
  {
--- a/install.sh
+++ b/install.sh
@ -1,15 +1,17 @@
 #!/bin/bash

+set -e
+
 # 安装构建工具
 # Install build tools
 echo "Installing GCC..."
-conda install -c conda-forge gcc=14
+conda install -c conda-forge gcc=14 -y

 echo "Installing G++..."
-conda install -c conda-forge gxx
+conda install -c conda-forge gxx -y

 echo "Installing ffmpeg and cmake..."
-conda install ffmpeg cmake
+conda install ffmpeg cmake -y

 # 设置编译环境
 # Set up build environment
@ -26,7 +28,6 @@ else
    USE_CUDA=false
 fi

-
 if [ "$USE_CUDA" = false ]; then
    echo "Checking for ROCm installation..."
    if [ -d "/opt/rocm" ]; then
@ -56,21 +57,53 @@ else
    conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 cpuonly -c pytorch
 fi

-
 echo "Installing Python dependencies from requirements.txt..."

 # 刷新环境
 # Refresh environment
 hash -r
+
+# pyopenjtalk Installation
+conda install jq -y
+
+OS_TYPE=$(uname)
+
+PACKAGE_NAME="pyopenjtalk"
+
+VERSION=$(curl -s https://pypi.org/pypi/$PACKAGE_NAME/json | jq -r .info.version)
+
+wget "https://files.pythonhosted.org/packages/source/${PACKAGE_NAME:0:1}/$PACKAGE_NAME/$PACKAGE_NAME-$VERSION.tar.gz"
+
+TAR_FILE=$(ls ${PACKAGE_NAME}-*.tar.gz)
+DIR_NAME="${TAR_FILE%.tar.gz}"
+
+tar -xzf "$TAR_FILE"
+rm "$TAR_FILE"
+
+CMAKE_FILE="$DIR_NAME/lib/open_jtalk/src/CMakeLists.txt"
+
+if [[ "$OS_TYPE" == "darwin"* ]]; then
+    sed -i '' -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
+else
+    sed -i -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
+fi
+
+tar -czf "$TAR_FILE" "$DIR_NAME"
+
+pip install "$TAR_FILE"
+
+rm -rf "$TAR_FILE" "$DIR_NAME"
+
+pip install -r extra-req.txt --no-deps
+
 pip install -r requirements.txt

 if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
    echo "Update to WSL compatible runtime lib..."
-    location=`pip show torch | grep Location | awk -F ": " '{print $2}'`
-    cd ${location}/torch/lib/
+    location=$(pip show torch | grep Location | awk -F ": " '{print $2}')
+    cd "${location}"/torch/lib/ || exit
    rm libhsa-runtime64.so*
    cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
 fi

 echo "Installation completed successfully!"
-
--- a/requirements.txt
+++ b/requirements.txt
@ -3,7 +3,7 @@ scipy
 tensorboard
 librosa==0.9.2
 numba==0.56.4
-pytorch-lightning
+pytorch-lightning>2.0
 gradio>=4.0,<=4.24.0
 ffmpeg-python
 onnxruntime; sys_platform == 'darwin'
@ -26,7 +26,6 @@ jieba_fast
 jieba
 split-lang
 fast_langdetect>=0.3.0
-Faster_Whisper
 wordsegment
 rotary_embedding_torch
 ToJyutping 
@ -38,4 +37,9 @@ python_mecab_ko; sys_platform != 'win32'
 fastapi<0.112.2
 x_transformers
 torchmetrics<=1.5
-attrdict
+pydantic<=2.10.6
+ctranslate2>=4.0,<5
+huggingface_hub>=0.13
+tokenizers>=0.13,<1
+av>=11
+tqdm