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Update README.md

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[中文](https://github.com/PaddlePaddle/Serving/blob/develop/README_CN.md)
<h2 align="center">Motivation</h2>
## Motivation
Paddle Serving helps deep learning developers deploy an online inference service without much effort. **The goal of this project**: once you have trained a deep neural nets with [Paddle](https://github.com/PaddlePaddle/Paddle), you already have a model inference service. A demo of serving is as follows:
<p align="center">
<img src="doc/demo.gif" width="700">
</p>
## Key Features
<h2 align="center">Key Features</h2>
- Integrate with Paddle training pipeline seemlessly, most paddle models can be deployed **with one line command**.
- **Industrial serving features** supported, such as models management, online loading, online A/B testing etc.
- **Distributed Key-Value indexing** supported that is especially useful for large scale sparse features as model inputs.
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- **Multiple programming languages** supported on client side, such as Golang, C++ and python
- **Extensible framework design** that can support model serving beyond Paddle.
## Installation
<h2 align="center">Installation</h2>
We highly recommend you to run Paddle Serving in Docker, please visit [Run in Docker](https://github.com/PaddlePaddle/Serving/blob/develop/doc/RUN_IN_DOCKER.md)
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pip install paddle-serving-server
```
## Quick Start Example
<h2 align="center">Quick Start Example</h2>
### Boston House Price Prediction model
``` shell
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```
## Models waiting for you to deploy
<h2 align="center">Models waiting for you to deploy</h2>
<center>
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</center>
## Document
<h2 align="center">Document</h2>
#### New to Paddle Serving
### New to Paddle Serving
- [How to save a servable model?](doc/SAVE.md)
- [An end-to-end tutorial from training to serving](doc/END_TO_END.md)
- [Write Bert-as-Service in 10 minutes](doc/Bert_10_mins.md)
#### Developers
### Developers
- [How to config Serving native operators on server side?](doc/SERVER_DAG.md)
- [How to develop a new Serving operator](doc/NEW_OPERATOR.md)
- [Golang client](doc/IMDB_GO_CLIENT.md)
- [Compile from source code(Chinese)](doc/COMPILE.md)
#### About Efficiency
### About Efficiency
- [How profile serving efficiency?(Chinese)](https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/util)
#### FAQ
### FAQ
- [FAQ(Chinese)](doc/FAQ.md)
#### Design
### Design
- [Design Doc(Chinese)](doc/DESIGN.md)
## Join Community
### Join Community
To connect with other users and contributors, welcome to join our [Slack channel](https://paddleserving.slack.com/archives/CUBPKHKMJ)
## Contribution
### Contribution
If you want to contribute code to Paddle Serving, please reference [Contribution Guidelines](doc/CONTRIBUTE.md)
### Feedback
For any feedback or to report a bug, please propose a [GitHub Issue](https://github.com/PaddlePaddle/Serving/issues).
## License
### License
[Apache 2.0 License](https://github.com/PaddlePaddle/Serving/blob/develop/LICENSE)
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