Fix README Typos

This commit is contained in:
Hilbert Kong
2025-06-01 17:19:50 +09:00
committed by GitHub
parent 1c7976779b
commit 5bf6befd70

View File

@@ -58,7 +58,7 @@
- Clone the repo
``` sh
git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git
# If you failed to clone submodule due to network failures, please run following command until success
# If you failed to clone the submodule due to network failures, please run the following command until success
cd CosyVoice
git submodule update --init --recursive
```
@@ -69,7 +69,7 @@
``` sh
conda create -n cosyvoice -y python=3.10
conda activate cosyvoice
# pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platform.
# pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platforms.
conda install -y -c conda-forge pynini==2.1.5
pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com
@@ -104,7 +104,7 @@ git clone https://www.modelscope.cn/iic/CosyVoice-300M-Instruct.git pretrained_m
git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd
```
Optionally, you can unzip `ttsfrd` resouce and install `ttsfrd` package for better text normalization performance.
Optionally, you can unzip `ttsfrd` resource and install `ttsfrd` package for better text normalization performance.
Notice that this step is not necessary. If you do not install `ttsfrd` package, we will use WeTextProcessing by default.
@@ -118,7 +118,7 @@ pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl
### Basic Usage
We strongly recommend using `CosyVoice2-0.5B` for better performance.
Follow code below for detailed usage of each model.
Follow the code below for detailed usage of each model.
``` python
import sys
@@ -218,12 +218,12 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
#### Advanced Usage
For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`.
For advanced users, we have provided training and inference scripts in `examples/libritts/cosyvoice/run.sh`.
#### Build for deployment
Optionally, if you want service deployment,
you can run following steps.
You can run the following steps.
``` sh
cd runtime/python