Linux ver python3.8

.gitignore

@@ -0,0 +1,5 @@
+__pycache__/*
+models/*
+/tmp/*
+/TTS/vits/*
+*.log

SocketServer.py

@@ -62,13 +62,14 @@ def __init__(self, args):
         self.addr = None
         self.conn = None
         logging.info('Initializing Server...')
-        self.host = socket.gethostbyname(socket.gethostname())
+        # self.host = socket.gethostbyname(socket.gethostname())
+        self.host = "0.0.0.0"# 所有地址上面监听
         self.port = 38438
         self.s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
         self.s.setsockopt(socket.SOL_SOCKET, socket.SO_SNDBUF, 10240000)
         self.s.bind((self.host, self.port))
-        self.tmp_recv_file = 'tmp/server_received.wav'
-        self.tmp_proc_file = 'tmp/server_processed.wav'
+        self.tmp_recv_file = '/tmp/server_received.wav'# 改为根目录
+        self.tmp_proc_file = '/tmp/server_processed.wav'
 
         ## hard coded character map
         self.char_name = {

environment.yaml

@@ -0,0 +1,105 @@
+name: dlife
+channels:
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - _openmp_mutex=5.1=1_gnu
+  - ca-certificates=2023.01.10=h06a4308_0
+  - ld_impl_linux-64=2.38=h1181459_1
+  - libffi=3.4.4=h6a678d5_0
+  - libgcc-ng=11.2.0=h1234567_1
+  - libgomp=11.2.0=h1234567_1
+  - libstdcxx-ng=11.2.0=h1234567_1
+  - ncurses=6.4=h6a678d5_0
+  - openssl=1.1.1t=h7f8727e_0
+  - pip=23.0.1=py38h06a4308_0
+  - python=3.8.16=h7a1cb2a_3
+  - readline=8.2=h5eee18b_0
+  - setuptools=66.0.0=py38h06a4308_0
+  - sqlite=3.41.2=h5eee18b_0
+  - tk=8.6.12=h1ccaba5_0
+  - wheel=0.38.4=py38h06a4308_0
+  - xz=5.4.2=h5eee18b_0
+  - yaml=0.2.5=h7b6447c_0
+  - zlib=1.2.13=h5eee18b_0
+  - pip:
+    - aiohttp==3.8.4
+    - aiosignal==1.3.1
+    - anyio==3.6.2
+    - appdirs==1.4.4
+    - async-timeout==4.0.2
+    - async-tio==1.3.2
+    - attrs==23.1.0
+    - audioread==3.0.0
+    - certifi==2022.12.7
+    - cffi==1.15.1
+    - charset-normalizer==2.1.1
+    - cmake==3.25.0
+    - cn2an==0.5.19
+    - coloredlogs==15.0.1
+    - cython==0.29.34
+    - decorator==5.1.1
+    - filelock==3.9.0
+    - flatbuffers==23.5.9
+    - frozenlist==1.3.3
+    - fsspec==2023.5.0
+    - h11==0.14.0
+    - httpcore==0.17.0
+    - httpx==0.24.0
+    - huggingface-hub==0.14.1
+    - humanfriendly==10.0
+    - idna==3.4
+    - importlib-metadata==6.6.0
+    - jieba==0.42.1
+    - jinja2==3.1.2
+    - joblib==1.2.0
+    - lazy-loader==0.2
+    - librosa==0.10.0.post2
+    - lit==15.0.7
+    - llvmlite==0.40.0
+    - markupsafe==2.1.2
+    - mpmath==1.2.1
+    - msgpack==1.0.5
+    - multidict==6.0.4
+    - networkx==3.0
+    - numba==0.57.0
+    - numpy==1.24.1
+    - onnxruntime==1.14.1
+    - openai==0.27.6
+    - openaiauth==0.3.6
+    - packaging==23.1
+    - pillow==9.3.0
+    - pooch==1.6.0
+    - proces==0.1.4
+    - prompt-toolkit==3.0.38
+    - protobuf==4.23.0
+    - pycparser==2.21
+    - pypinyin==0.49.0
+    - pysocks==1.7.1
+    - pyyaml==6.0
+    - regex==2023.5.5
+    - requests==2.28.1
+    - revchatgpt==5.0.2
+    - scikit-learn==1.2.2
+    - scipy==1.10.1
+    - sniffio==1.3.0
+    - socksio==1.0.0
+    - soundfile==0.12.1
+    - soxr==0.3.5
+    - sympy==1.11.1
+    - threadpoolctl==3.1.0
+    - tiktoken==0.4.0
+    - tokenizers==0.13.3
+    - torch==2.0.1+cu118
+    - torchaudio==2.0.2+cu118
+    - torchvision==0.15.2+cu118
+    - tqdm==4.65.0
+    - transformers==4.29.1
+    - triton==2.0.0
+    - typeguard==2.13.3
+    - typing-extensions==4.4.0
+    - urllib3==1.26.13
+    - wcwidth==0.2.6
+    - yarl==1.9.2
+    - zipp==3.15.0
+prefix: /home/sean/anaconda3/envs/dlife

readme.md

@@ -7,9 +7,10 @@ For other part of the project, please refer to:
 ## Getting stuffs ready to roll:
 ### Clone this repo
 ```bash
-git clone https://github.com/zixiiu/Digital_Life_Server.git --recursive
+git clone https://github.com/seanxpw/Digital_Life_Server.git -b linux_ver_python3.8 --recursive
 ```
 ### Install prerequisites
+建议看[readme_detail.md](readme_detail.md)
 1. install pytorch
     ```bash
     pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
@@ -24,7 +25,7 @@ git clone https://github.com/zixiiu/Digital_Life_Server.git --recursive
    cd "TTS/vits/monotonic_align"
    mkdir monotonic_align
    python setup.py build_ext --inplace
-   cp monotonic_align/*.pyd .
+   cp monotonic_align/*.so .
    ```
 
 4. Download models  

readme_detail.md

@@ -1,60 +1,46 @@
 ## 搭建”数字生命“服务:
 > ⚠ 注意：  
-> 如果不知道你在干什么（纯小白），请在**需要存放该项目的位置**打开终端(Win11)或Powershell(win10)，然后**按照下述说明逐步操作**即可  
-> 在进行以下操作前，请确保电脑中有Git和Python>=3.8
+> 现在是linux(ubuntu)的配置。使用python3.8
 ### 克隆仓库
 ```bash
-git clone https://github.com/zixiiu/Digital_Life_Server.git --recursive
+git clone https://github.com/seanxpw/Digital_Life_Server.git -b linux_ver_python3.8 --recursive
 cd Digital_Life_Server
 ```
-### 保姆式配置环境
-1. 使用virtualvenv建立python虚拟环境
+### 配置环境
+**需要显卡，且需要cuda11.8**
+1. 使用conda建立python虚拟环境
 ```bash
-python -m venv venv
+conda env create -f environment.yaml
 ```
-2. 安装pytorch于venv
-
-> 你可以在终端(或Powershell)输入`nvcc --version`，找到输出中`Cuda compilation tools`一行来查看cuda版本
-
-对于cuda11.8： 
-
-（默认地址，下载可能较慢）
+这样会自动创建一个名字叫dlife的环境
+如果已经有了dlife
 ```bash
-.\venv\Scripts\python.exe -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+conda env update dlife -f environment.yaml
 ```
-（国内加速地址，下载可能较快）
+如果安装包的时候报错的话先运行下面的命令下载pytorch就好。
 ```bash
-.\venv\Scripts\python.exe -m pip install torch==2.0.0+cu118 torchvision torchaudio -f https://mirror.sjtu.edu.cn/pytorch-wheels/torch_stable.html
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
 ```
 
-对于没有Nvidia显卡的电脑：
+requirements.txt是pip的，没有anaconda可以一试，不过yaml这个包好像是用conda装的
+到时候自己注意点。
 
-（默认地址，下载可能较慢）
-```bash
-.\venv\Scripts\python.exe -m pip install torch torchvision torchaudio
-```
-（国内加速地址，下载可能较快）
-```bash
-.\venv\Scripts\python.exe -m pip install torch==2.0.0+cpu torchvision torchaudio -f https://mirror.sjtu.edu.cn/pytorch-wheels/torch_stable.html
-```
-其余版本组合可以从[这个页面](https://pytorch.org/get-started/locally)获取具体的下载指令  
-
-3. 安装项目所需其它依赖项
- ```bash
-.\venv\Scripts\python.exe -m pip install -r requirements_out_of_pytorch.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
- ```
-4. Build `monotonic_align`
+2. Build `monotonic_align`
 ```bash
 cd "TTS/vits/monotonic_align"
 mkdir monotonic_align
 python setup.py build_ext --inplace
-cp monotonic_align/*.pyd .
+cp monotonic_align/*.so .
 ```
 
 > 到这里，项目构建完毕🥰
 
-5. 下载项目所需模型  
-[百度网盘](https://pan.baidu.com/s/1EnHDPADNdhDl71x_DHeElg?pwd=75gr)  
+3. 下载项目所需模型  
+[百度网盘](https://pan.baidu.com/s/1EnHDPADNdhDl71x_DHeElg?pwd=75gr)
+视频简介下面也有别的网盘的链接。在里面找对应的目录就行。
+注意TTS的一个模型名字应该是paimon6k_390k.pth  
+如果下载的是paimon6k_390000.pth请把名字修改为paimon6k_390k.pth
+
 ASR Model:   
 to `/ASR/resources/models`  
 Sentiment Model:  
@@ -67,4 +53,11 @@ to `/TTS/models`
 > 启动前，不要忘记根据实际情况修改bat文件中的具体配置
 ```bash
 run-gpt3.5-api.bat
-```
+```
+
+实测python3.8会报一个版本检查的错误
+在
+```bash
+dlife/lib/python3.8/site-packages/revChatGPT/__init__.py, line 23
+```
+把数字9改成8就行

run-gpt3.5-api.bat

@@ -1,10 +1,8 @@
-@echo off
-set SCRIPT_NAME=SocketServer.py
-set CHATVER=3
-set PROXY=http://127.0.0.1:7890
-set STREAM=False
-set CHARACTER=paimon
-set MODEL=gpt-3.5-turbo
+SCRIPT_NAME=SocketServer.py
+CHATVER=3
+PROXY=http://127.0.0.1:7890
+STREAM=False
+CHARACTER=paimon
+MODEL=gpt-3.5-turbo
 
-
-.\venv\Scripts\python.exe %SCRIPT_NAME% --chatVer %CHATVER% --stream %STREAM% --character %CHARACTER% --model %MODEL%
+python $SCRIPT_NAME --chatVer $CHATVER --stream $STREAM --character $CHARACTER --model $MODEL