mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
65 lines
1.8 KiB
Markdown
65 lines
1.8 KiB
Markdown
# Using funasr with websocket
|
|
We can send streaming audio data to server in real-time with grpc client every 300 ms e.g., and get transcribed text when stop speaking.
|
|
The audio data is in streaming, the asr inference process is in offline.
|
|
|
|
|
|
## For the Server
|
|
|
|
### Install the modelscope and funasr
|
|
|
|
```shell
|
|
pip install -U modelscope funasr
|
|
# For the users in China, you could install with the command:
|
|
# pip install -U modelscope funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple
|
|
git clone https://github.com/alibaba/FunASR.git && cd FunASR
|
|
```
|
|
|
|
### Install the requirements for server
|
|
|
|
```shell
|
|
cd funasr/runtime/python/websocket
|
|
pip install -r requirements_server.txt
|
|
```
|
|
|
|
### Start server
|
|
#### ASR offline server
|
|
|
|
[//]: # (```shell)
|
|
|
|
[//]: # (python ws_server_online.py --host "0.0.0.0" --port 10095 --asr_model "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
|
|
|
|
[//]: # (```)
|
|
#### ASR streaming server
|
|
```shell
|
|
python ws_server_online.py --host "0.0.0.0" --port 10095
|
|
```
|
|
####
|
|
|
|
#### ASR offline/online 2pass server
|
|
|
|
[//]: # (```shell)
|
|
|
|
[//]: # (python ws_server_online.py --host "0.0.0.0" --port 10095 --asr_model "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
|
|
|
|
[//]: # (```)
|
|
|
|
## For the client
|
|
|
|
Install the requirements for client
|
|
```shell
|
|
git clone https://github.com/alibaba/FunASR.git && cd FunASR
|
|
cd funasr/runtime/python/websocket
|
|
pip install -r requirements_client.txt
|
|
```
|
|
|
|
Start client
|
|
|
|
```shell
|
|
# --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms
|
|
python ws_client.py --host "127.0.0.1" --port 10096 --chunk_size "5,10,5"
|
|
```
|
|
|
|
## Acknowledge
|
|
1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
|
|
2. We acknowledge [cgisky1980](https://github.com/cgisky1980/FunASR) for contributing the websocket service.
|