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README.md
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@@ -34,13 +34,13 @@ sudo yum install sox sox-devel
``` ```
**Model download** **Model download**
> *If you are expert in this field, and you are only interested in training your own CosyVoice model from scratch, you can skip this step.*
We strongly recommend that you download our pretrained `CosyVoice-300M` `CosyVoice-300M-SFT` `CosyVoice-300M-Instruct` model and `CosyVoice-ttsfrd` resource. We strongly recommend that you download our pretrained `CosyVoice-300M` `CosyVoice-300M-SFT` `CosyVoice-300M-Instruct` model and `CosyVoice-ttsfrd` resource.
Download models with python script. If you are expert in this field, and you are only interested in training your own CosyVoice model from scratch, you can skip this step.
``` python ``` python
# SDK模型下载
from modelscope import snapshot_download from modelscope import snapshot_download
snapshot_download('iic/CosyVoice-300M', local_dir='pretrained_models/CosyVoice-300M') snapshot_download('iic/CosyVoice-300M', local_dir='pretrained_models/CosyVoice-300M')
snapshot_download('iic/CosyVoice-300M-SFT', local_dir='pretrained_models/CosyVoice-300M-SFT') snapshot_download('iic/CosyVoice-300M-SFT', local_dir='pretrained_models/CosyVoice-300M-SFT')
@@ -48,8 +48,8 @@ snapshot_download('iic/CosyVoice-300M-Instruct', local_dir='pretrained_models/Co
snapshot_download('iic/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd') snapshot_download('iic/CosyVoice-ttsfrd', local_dir='pretrained_models/CosyVoice-ttsfrd')
``` ```
Download models with git, you should install [git lfs](https://github.com/git-lfs/git-lfs?utm_source=CosyVoice_site&utm_medium=download_models&utm_campaign=gitlfs#installing) first.
``` sh ``` sh
# git模型下载，请确保已安装git lfs
mkdir -p pretrained_models mkdir -p pretrained_models
git clone https://www.modelscope.cn/iic/CosyVoice-300M.git pretrained_models/CosyVoice-300M git clone https://www.modelscope.cn/iic/CosyVoice-300M.git pretrained_models/CosyVoice-300M
git clone https://www.modelscope.cn/iic/CosyVoice-300M-SFT.git pretrained_models/CosyVoice-300M-SFT git clone https://www.modelscope.cn/iic/CosyVoice-300M-SFT.git pretrained_models/CosyVoice-300M-SFT
@@ -122,24 +122,6 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`. For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`.
You can get familiar with CosyVoice following this recipie. You can get familiar with CosyVoice following this recipie.
**Serve with FastAPI**
The `runtime/python/fastapi_server.py` file contains the http API build with `FastAPI`.
```sh
cd runtime/python
# Set inference model
export MODEL_DIR=pretrained_models/CosyVoice-300M-Instruct
# For development
fastapi dev --port 6006 fastapi_server.py
# For production
fastapi run --port 6006 fastapi_server.py
# Call the API with python client
python fastapi_client.py --api_base http://127.0.0.1:6006 --mode cross_lingual --tts_wav ./demo.wav
```
**Build for deployment** **Build for deployment**
Optionally, if you want to use grpc for service deployment, Optionally, if you want to use grpc for service deployment,