add denpendency for grpc

huangmingming

2023-02-01 54a322a4356cf5bcf22d6ac0d21a6323cc4cb52c

 README.md

@@ -23,7 +23,7 @@
- FunASR supplies a easy-to-use pipeline to finetune pretrained models from [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition)
- Compared to [Espnet](https://github.com/espnet/espnet) framework, the training speed of large-scale datasets in FunASR is much faster owning to the optimized dataloader.

## Installation(Training and Developing)
## Installation

- Install Conda:
``` sh
@@ -40,16 +40,17 @@
```
For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally)

- Install ModelScope:

If you are in the area of China, you could set the source to speed the downloading.
If you are in the area of China, you could set the source to speedup the downloading.

``` sh
pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple
```

- Install ModelScope:
Install or upgrade modelscope.
``` sh
pip install "modelscope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
pip install "modelscope[audio]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
```

For more details about modelscope, please see [modelscope installation](https://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85)
@@ -61,18 +62,14 @@
pip install --editable ./
```

## Pretrained Model Zoo

We have trained many academic and industrial models, [model hub](docs/modelscope_models.md)

## Contact

If you have any questions about FunASR, please contact us by

- email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com)

- Dingding group:
<div align="left"><img src="docs/images/dingding.jpg" width="250"/>!<img src="docs/images/wechat.png" width="222"/></div>
- Dingding group and Wechat group:
<div align="left"><img src="docs/images/dingding.jpg" width="250"/> <img src="docs/images/wechat.png" width="222"/></div>


## Acknowledge