update

README_dev_en.md

@@ -0,0 +1,95 @@
+## For Developper
+
+[English](/README_dev_ja.md)
+
+## Prerequisit
+
+- Linux or WSL2 (not tested for Mac )
+- Anaconda
+
+## Preparation
+
+1. Create anaconda virtual environment
+
+```
+$ conda create -n vcclient-dev python=3.10
+$ conda activate vcclient-dev
+```
+
+2. clone repository
+
+```
+$ git clone https://github.com/w-okada/voice-changer.git
+$ cd voice-changer
+```
+
+## For Server Developer
+
+1. Clone support VC repository
+
+```
+cd server
+git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v13
+git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v15
+git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40
+git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40v2
+cd so-vits-svc-40v2 && git checkout 08c70ff3d2f7958820b715db2a2180f4b7f92f8d && cd -
+git clone https://github.com/yxlllc/DDSP-SVC.git DDSP-SVC
+git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC
+```
+
+2. Copy weights
+
+copy weights of emmbedding or vocoder. These file path can be set as parameter when invoke server.
+
+(1) hubert_base.pt
+
+download from [here](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main)
+
+(2) content vec
+
+download ContentVec_legacy_500 from [here](https://github.com/auspicious3000/contentvec)
+
+(3) hubert_soft
+
+download from [here](https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt)
+
+(4) vocorder
+
+download nsf_hifigan_20221211.zip from [here](https://github.com/openvpi/vocoders/releases/tag/nsf-hifigan-v1) and expand it.
+
+3. Install requirements
+
+```
+$ pip install -r requirements.txt
+```
+
+4. Run server
+
+Run server with the below command. You can replace the path to each weight.
+
+```
+$ python3 MMVCServerSIO.py -p 18888 --https true \
+  --content_vec_500 weights/checkpoint_best_legacy_500.pt \
+  --hubert_base weights/hubert_base.pt \
+  --hubert_soft weights/hubert-soft-0d54a1f4.pt \
+  --nsf_hifigan weights/nsf_hifigan/model
+```
+
+5. Enjoy developing.
+
+## For Client Developer
+
+1. Import modules and initial build
+
+```
+cd client
+cd lib
+npm install
+npm run build:dev
+cd ../demo
+npm install
+npm run build:dev
+```
+
+2. Enjoy developing.

README_dev_ja.md

@@ -0,0 +1,95 @@
+## 開発者向け
+
+[English](/README_dev_en.md)
+
+## 前提
+
+- Linux or WSL2 (not tested for Mac )
+- Anaconda
+
+## 準備
+
+1. Anaconda の仮想環境を作成する
+
+```
+$ conda create -n vcclient-dev python=3.10
+$ conda activate vcclient-dev
+```
+
+2. リポジトリをクローンする
+
+```
+$ git clone https://github.com/w-okada/voice-changer.git
+$ cd voice-changer
+```
+
+## サーバ開発者向け
+
+1. 外部のリポジトリをサーバ内にクローンする
+
+```
+cd server
+git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v13
+git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v15
+git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40
+git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40v2
+cd so-vits-svc-40v2 && git checkout 08c70ff3d2f7958820b715db2a2180f4b7f92f8d && cd -
+git clone https://github.com/yxlllc/DDSP-SVC.git DDSP-SVC
+git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC
+```
+
+2. 外部のモデルの重みを配置する
+
+copy weights of emmbedding or vocoder. These file path can be set as parameter when invoke server.
+
+(1) hubert_base.pt
+
+download from [here](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main)
+
+(2) content vec
+
+download ContentVec_legacy_500 from [here](https://github.com/auspicious3000/contentvec)
+
+(3) hubert_soft
+
+download from [here](https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt)
+
+(4) vocorder
+
+download nsf_hifigan_20221211.zip from [here](https://github.com/openvpi/vocoders/releases/tag/nsf-hifigan-v1) and expand it.
+
+3. モジュールをインストールする
+
+```
+$ pip install -r requirements.txt
+```
+
+4. サーバを起動する
+
+Run server with the below command. You can replace the path to each weight.
+
+```
+$ python3 MMVCServerSIO.py -p 18888 --https true \
+  --content_vec_500 weights/checkpoint_best_legacy_500.pt \
+  --hubert_base weights/hubert_base.pt \
+  --hubert_soft weights/hubert-soft-0d54a1f4.pt \
+  --nsf_hifigan weights/nsf_hifigan/model
+```
+
+5. 開発しましょう
+
+## クライアント開発者向け
+
+1. モジュールをインストールして、一度ビルドします
+
+```
+cd client
+cd lib
+npm install
+npm run build:dev
+cd ../demo
+npm install
+npm run build:dev
+```
+
+2. 開発しましょう

README_en.md

@@ -122,6 +122,8 @@ Clone this repository and use it. Setting up WSL2 is essential for Windows. Addi
 
 [Explanation video on installing WSL2 and Anaconda](https://youtu.be/fba9Zhsukqw)
 
+To run on Anaconda venv, see [server developer's guide](README_dev_en.md)
+
 ## Real-time performance
 
 Conversion is almost instantaneous when using GPU.

server/requirements.txt

@@ -1,25 +1,8 @@
-# uvicorn==0.21.1
-# pyOpenSSL==23.0.0
-# numpy==1.23.5
-# #torch==2.0.0
-# torch==1.13.1
-# resampy==0.4.2
-# matplotlib==3.7.1
-# librosa==0.10.0.post1
-# pyworld==0.3.2
-# python-socketio==5.7.2
-# fastapi==0.94.1
-# onnxruntime-gpu==1.14.1
-# python-multipart==0.0.6
-# fairseq==0.12.2
 # # apt-get update
 # # apt-get install -y emacs mlocate wget git curl gcc g++ make unzip
 # # wget https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh
 # # bash Anaconda3-2022.10-Linux-x86_64.sh
 
-
-
-
 uvicorn==0.21.1
 pyOpenSSL==23.1.1
 numpy==1.23.5
@@ -41,4 +24,5 @@ librosa==0.10.0.post1
 gin==0.1.6
 gin_config==0.5.0
 einops==0.6.0
-local_attention==1.8.5
+local_attention==1.8.5
+websockets==11.0.2