You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
68 lines
2.7 KiB
68 lines
2.7 KiB
2 years ago
|
([简体中文](./README_cn.md)|English)
|
||
|
|
|
||
|
|
# Streaming Speech Synthesis Service
|
||
|
|
|
||
|
|
## Introduction
|
||
|
|
This demo is an implementation of starting the streaming speech synthesis service and accessing the service.
|
||
|
|
|
||
|
|
`Server` must be started in the docker, while `Client` does not have to be in the docker.
|
||
|
|
|
||
|
|
**The streaming_tts_serving under the path of this article ($PWD) contains the configuration and code of the model, which needs to be mapped to the docker for use.**
|
||
|
|
|
||
|
|
## Usage
|
||
|
|
### 1. Server
|
||
|
|
#### 1.1 Docker
|
||
|
|
|
||
|
|
```bash
|
||
|
|
docker pull registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09
|
||
|
|
docker run -dit --net=host --name fastdeploy --shm-size="1g" -v $PWD:/models registry.baidubce.com/paddlepaddle/fastdeploy_serving_cpu_only:22.09
|
||
|
|
docker exec -it -u root fastdeploy bash
|
||
|
|
```
|
||
|
|
|
||
|
|
#### 1.2 Installation(inside the docker)
|
||
|
|
```bash
|
||
|
|
apt-get install build-essential python3-dev libssl-dev libffi-dev libxml2 libxml2-dev libxslt1-dev zlib1g-dev libsndfile1 language-pack-zh-hans wget zip
|
||
|
|
pip3 install paddlespeech
|
||
|
|
export LC_ALL="zh_CN.UTF-8"
|
||
|
|
export LANG="zh_CN.UTF-8"
|
||
|
|
export LANGUAGE="zh_CN:zh:en_US:en"
|
||
|
|
```
|
||
|
|
|
||
|
|
#### 1.3 Download models(inside the docker)
|
||
|
|
```bash
|
||
|
|
cd /models/streaming_tts_serving/1
|
||
|
|
wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip
|
||
|
|
wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_onnx_0.2.0.zip
|
||
|
|
unzip fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip
|
||
|
|
unzip mb_melgan_csmsc_onnx_0.2.0.zip
|
||
|
|
```
|
||
|
|
**For the convenience of users, we recommend that you use the command `docker -v` to map $PWD (streaming_tts_service and the configuration and code of the model contained therein) to the docker path `/models`. You can also use other methods, but regardless of which method you use, the final model directory and structure in the docker are shown in the following figure.**
|
||
|
|
|
||
|
|
<p align="center">
|
||
|
|
<img src="./tree.png" />
|
||
|
|
</p>
|
||
|
|
|
||
|
|
#### 1.4 Start the server(inside the docker)
|
||
|
|
|
||
|
|
```bash
|
||
|
|
fastdeployserver --model-repository=/models --model-control-mode=explicit --load-model=streaming_tts_serving
|
||
|
|
```
|
||
|
|
Arguments:
|
||
|
|
- `model-repository`(required): Path of model storage.
|
||
|
|
- `model-control-mode`(required): The mode of loading the model. At present, you can use 'explicit'.
|
||
|
|
- `load-model`(required): Name of the model to be loaded.
|
||
|
|
- `http-port`(optional): Port for http service. Default: `8000`. This is not used in our example.
|
||
|
|
- `grpc-port`(optional): Port for grpc service. Default: `8001`.
|
||
|
|
- `metrics-port`(optional): Port for metrics service. Default: `8002`. This is not used in our example.
|
||
|
|
|
||
|
|
### 2. Client
|
||
|
|
#### 2.1 Installation
|
||
|
|
```bash
|
||
|
|
pip3 install tritonclient[all]
|
||
|
|
```
|
||
|
|
|
||
|
|
#### 2.2 Send request
|
||
|
|
```bash
|
||
|
|
python3 /models/streaming_tts_serving/stream_client.py
|
||
|
|
```
|