国内Ubuntu环境Docker部署CosyVoice
国内Ubuntu环境Docker部署CosyVoice本文旨在记载在 国内 CosyVoice项目在 Ubuntu 环境下如何使用 docker+min-conda进行一键部署。
源项目地点：
https://github.com/FunAudioLLM/CosyVoice
如果想要使用 docker+python 进行部署，可以参考我另一篇博客中的dockerfile进行修改。
https://blog.csdn.net/qq_36991535/article/details/144872382?spm=1001.2014.3001.5502
你只需要将在 git clone 的项目根目次下创建 docker 文件夹，然后将本文的文件放到docker文件夹内; model_download.py 放到项目根目次下；末了进入docker文件夹，使用docker compose -f compose.yaml up 命令即可一键部署。
文件一览：
[*]Dockerfile
[*]compose.yaml
[*]requirements.txt
[*]start.sh
[*]model_download.py
效果，端口8888：
https://i-blog.csdnimg.cn/direct/e46cab84b59a458cb087cb2ae36c4b61.png
Dockerfile
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
ARG VENV_NAME="cosyvoice"
ENV VENV=$VENV_NAME
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV DEBIAN_FRONTEN=noninteractive
ENV PYTHONUNBUFFERED=1
SHELL ["/bin/bash", "--login", "-c"]
RUN apt-get update -y --fix-missing
RUN apt-get install -y git build-essential curl wget ffmpeg unzip git git-lfs sox libsox-dev && \
apt-get clean && \
git lfs install
# ==================================================================
# conda install and conda forge channel as default
# ------------------------------------------------------------------
# Install miniforge
RUN wget --quiet https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh -O ~/miniforge.sh && \
/bin/bash ~/miniforge.sh -b -p /opt/conda && \
rm ~/miniforge.sh && \
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
echo "source /opt/conda/etc/profile.d/conda.sh" >> /opt/nvidia/entrypoint.d/100.conda.sh && \
echo "source /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
echo "conda activate ${VENV}" >> /opt/nvidia/entrypoint.d/110.conda_default_env.sh && \
echo "conda activate ${VENV}" >> $HOME/.bashrc
ENV PATH /opt/conda/bin:$PATH
RUN conda config --add channels conda-forge && \
conda config --set channel_priority strict
# ------------------------------------------------------------------
# ~conda
# ==================================================================
RUN conda create -y -n ${VENV} python=3.8
ENV CONDA_DEFAULT_ENV=${VENV}
ENV PATH /opt/conda/bin:/opt/conda/envs/${VENV}/bin:$PATH
WORKDIR /workspace
COPY ./requirements.txt ./
ENV PYTHONPATH="${PYTHONPATH}:/workspace/CosyVoice:/workspace/CosyVoice/third_party/Matcha-TTS"
# RUN git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
RUN conda activate ${VENV} && conda install -y -c conda-forge pynini==2.1.5
# RUN conda activate ${VENV} && cd CosyVoice && pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com
RUN conda activate ${VENV} && pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com
WORKDIR /workspace/CosyVoice
compose.yaml
services:
cosyvoice:
container_name: cosyvoice
image: cosyvoice:1.0
restart: always
ports:
- 8888:8888
environment:
- TZ=Asia/Tokyo
- NVIDIA_VISIBLE_DEVICES=all
volumes:
- ../../CosyVoice:/workspace/CosyVoice
# command: tail -f /dev/null
command: sh -c "docker/start.sh"
deploy:
resources:
reservations:
devices:
- driver: nvidia
capabilities:
requirements.txt
# --extra-index-url https://download.pytorch.org/whl/cu121
--extra-index-url https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/wheel/cu121/
--extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ # https://github.com/microsoft/onnxruntime/issues/21684
conformer==0.3.2
deepspeed==0.14.2; sys_platform == 'linux'
diffusers==0.27.2
gdown==5.1.0
gradio==4.32.2
grpcio==1.57.0
grpcio-tools==1.57.0
huggingface-hub==0.25.2
hydra-core==1.3.2
HyperPyYAML==1.2.2
inflect==7.3.1
librosa==0.10.2
lightning==2.2.4
matplotlib==3.7.5
modelscope==1.15.0
networkx==3.1
omegaconf==2.3.0
onnx==1.16.0
onnxruntime-gpu==1.18.0; sys_platform == 'linux'
onnxruntime==1.18.0; sys_platform == 'darwin' or sys_platform == 'windows'
openai-whisper==20231117
protobuf==4.25
pydantic==2.7.0
rich==13.7.1
soundfile==0.12.1
tensorboard==2.14.0
tensorrt-cu12==10.0.1; sys_platform == 'linux'
tensorrt-cu12-bindings==10.0.1; sys_platform == 'linux'
tensorrt-cu12-libs==10.0.1; sys_platform == 'linux'
torch==2.3.1
torchaudio==2.3.1
transformers==4.40.1
uvicorn==0.30.0
wget==3.2
fastapi==0.111.0
fastapi-cli==0.0.4
WeTextProcessing==1.0.3
matcha
start.sh
#! /bin/bash
python3 model_download.py
python3 webui.py --port 8888 --model_dir pretrained_models/CosyVoice-300M
model_download.py
# SDK模型下载
from modelscope import snapshot_download
snapshot_download('iic/CosyVoice2-0.5B', local_dir='pretrained_models/CosyVoice2-0.5B')
snapshot_download('iic/CosyVoice-300M', local_dir='pretrained_models/CosyVoice-300M')
snapshot_download('iic/CosyVoice-300M-25Hz', local_dir='pretrained_models/CosyVoice-300M-25Hz')
snapshot_download('iic/CosyVoice-300M-SFT', local_dir='pretrained_models/CosyVoice-300M-SFT')
snapshot_download('iic/CosyVoice-300M-Instruct', local_dir='pretrained_models/CosyVoice-300M-Instruct')
snapshot_download('iic/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd')
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