Fix some typos.

README.md

@@ -1,62 +1,60 @@
 English | [简体中文](README_ch.md)
 
 <p align="center">
- <img src="./docs/imgs/paddlehub_logo.jpg" align="middle">
+ <img src="./docs/imgs/paddlehub_logo.jpg" align="middle" width="400" />
 <p align="center">
 <div align="center">  
-  <h3> <a href=#QuickStart> QuickStart </a> | <a href="https://paddlehub.readthedocs.io/en/release-v2.1"> Tutorial </a> | <a href="./modules"> Models List </a> | <a href="https://www.paddlepaddle.org.cn/hub"> Demos </a> </h3>
+  <h3> <a href=#QuickStart> Quick Start </a> | <a href="./modules"> Model List </a> | <a href=#demos> Demos </a> </h3>
 </div>
 
 ------------------------------------------------------------------------------------------
 
 <p align="center">
     <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
-    <a href="https://github.com/PaddlePaddle/PaddleHub/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleHub?color=ffa"></a>
     <a href=""><img src="https://img.shields.io/badge/python-3.6.2+-aff.svg"></a>
     <a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
     <a href=""><img src="https://img.shields.io/pypi/format/paddlehub?color=c77"></a>
-</p>
-<p align="center">
-    <a href="https://github.com/PaddlePaddle/PaddleHub/graphs/contributors"><img src="https://img.shields.io/github/contributors/PaddlePaddle/PaddleHub?color=9ea"></a>
-    <a href="https://github.com/PaddlePaddle/PaddleHub/commits"><img src="https://img.shields.io/github/commit-activity/m/PaddlePaddle/PaddleHub?color=3af"></a>
     <a href="https://pypi.org/project/paddlehub/"><img src="https://img.shields.io/pypi/dm/paddlehub?color=9cf"></a>
-    <a href="https://github.com/PaddlePaddle/PaddleHub/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/PaddleHub?color=9cc"></a>
     <a href="https://github.com/PaddlePaddle/PaddleHub/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleHub?color=ccf"></a>
     <a href="https://huggingface.co/PaddlePaddle"><img src="https://img.shields.io/badge/%F0%9F%A4%97-Hugging%20Face-blue"></a>
 </p>
 
 
+## ⭐Features
+- **📦400+ AI Models**: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. 
+- **🧒Easy to Use**: 3 lines of code to predict 400+ AI models.
+- **💁Model As Service**: Easy to serve model with only one line of command.
+- **💻Cross-platform**: Support Linux, Windows and MacOS.
+
+### 💥Recent Updates
+- **🔥2022.08.19:** The v2.3.0 version is released 🎉
+  -  Supports [**ERNIE-ViLG**](./modules/image/text_to_image/ernie_vilg)([HuggingFace Space Demo](https://huggingface.co/spaces/PaddlePaddle/ERNIE-ViLG))
+  -  Supports [**Disco Diffusion (DD)**](./modules/image/text_to_image/disco_diffusion_clip_vitb32) and [**Stable Diffusion (SD)**](./modules/image/text_to_image/stable_diffusion)
 
-## Introduction and Features
-- **PaddleHub** aims to provide developers with rich, high-quality, and directly usable pre-trained models.
-- **Abundant Pre-trained Models**: 360+ pre-trained models cover the 5 major categories, including Image, Text, Audio, Video, and Industrial application. All of them are free for download and offline usage.
-- **No Need for Deep Learning Background**: you can use AI models quickly and enjoy the dividends of the artificial intelligence era.
-- **Quick Model Prediction**: model prediction can be realized through a few lines of scripts to quickly experience the model effect.
-- **Model As Service**: one-line command to build deep learning model API service deployment capabilities.
-- **Easy-to-use Transfer Learning**: few lines of codes to complete the transfer-learning task such as image classification and text classification based on high quality pre-trained models.
-- **Cross-platform**: support Linux, Windows, MacOS and other operating systems.
+- **2022.02.18:** Release models to HuggingFace [PaddlePaddle Space](https://huggingface.co/PaddlePaddle)
 
-### Recent updates
-- **2022.02.18:** Added Huggingface Org, add spaces and models to the org: [PaddlePaddle Huggingface](https://huggingface.co/PaddlePaddle)
-- **2021.12.22**，The v2.2.0 version is released. [1]More than 100 new models released，including dialog, speech, segmentation, OCR, text processing, GANs, and many other categories. The total number of pre-trained models reaches [**【360】**](https://www.paddlepaddle.org.cn/hublist). [2]Add an [indexed file](./modules/README.md) including useful information of pretrained models supported by PaddleHub. [3]Refactor README of pretrained models.
-- **2021.05.12:** Add an open-domain dialogue system, i.e., [plato-mini](https://www.paddlepaddle.org.cn/hubdetail?name=plato-mini&en_category=TextGeneration), to make it easy to build a chatbot in wechat with the help of the wechaty, [See Demo](https://github.com/KPatr1ck/paddlehub-wechaty-demo)
-- **2021.04.27:** The v2.1.0 version is released. [1] Add supports for five new models, including two high-precision semantic segmentation models based on VOC dataset and three voice classification models. [2] Enforce the transfer learning capabilities for image semantic segmentation, text semantic matching and voice classification on related datasets. [3] Add the export function APIs for two kinds of model formats, i.,e, ONNX and PaddleInference. [4] Add the support for [BentoML](https://github.com/bentoml/BentoML/), which is a cloud native framework for serving deployment. Users can easily serve pre-trained models from PaddleHub by following the [Tutorial notebooks](https://github.com/PaddlePaddle/PaddleHub/blob/release/v2.1/demo/serving/bentoml/cloud-native-model-serving-with-bentoml.ipynb). Also, see this announcement and [Release note](https://github.com/bentoml/BentoML/releases/tag/v0.12.1) from BentoML. (Many thanks to @[parano](https://github.com/parano) @[cqvu](https://github.com/cqvu) @[deehrlic](https://github.com/deehrlic) for contributing this feature in PaddleHub). [5] The total number of pre-trained models reaches **【300】**.
-- **2021.02.18:** The v2.0.0 version is released, making model development and debugging easier, and the finetune task is more flexible and easy to use.The ability to transfer learning for visual tasks is fully upgraded, supporting various tasks such as image classification, image coloring, and style transfer; Transformer models such as BERT, ERNIE, and RoBERTa are upgraded to dynamic graphs, supporting Fine-Tune capabilities for text classification and sequence labeling; Optimize the Serving capability, support multi-card prediction, automatic load balancing, and greatly improve performance; the new automatic data enhancement capability Auto Augment can efficiently search for data enhancement strategy combinations suitable for data sets. 61 new word vector models were added, including 51 Chinese models and 10 English models; add 4 image segmentation models, 2 depth models, 7 image generation models, and 3 text generation models, the total number of pre-trained models reaches **【274】**.
-- [【more】](./docs/docs_en/release.md)
+- For more previous release please refer to [**PaddleHub Release Note**](./docs/docs_en/release.md)
 
 
+<a name="demos"></a>
+## 🌈Visualization Demo
 
+#### 🏜️ [Text-to-Image Models](https://www.paddlepaddle.org.cn/hubdetail?name=ernie_vilg&en_category=TextToImage)
+- Include ERNIE-ViLG, ERNIE-ViL, ERNIE 3.0 Zeus, supports applications such as text-to-image, writing essays, summarization, couplets, question answering, writing novels and completing text.
+<div align="center">
+<img src="https://user-images.githubusercontent.com/22424850/185588578-e2d1216b-e797-458d-bc6b-0ccb8e1bd1b9.png"  width = "80%"  />
+</div>
 
-## Visualization Demo [[More]](./docs/docs_en/visualization.md) [[ModelList]](./modules)
-### **[Computer Vision (212 models)](./modules#Image)**
+#### 👓 [Computer Vision Models](./modules#Image)
 <div align="center">
 <img src="./docs/imgs/Readme_Related/Image_all.gif"  width = "530" height = "400" />
 </div>
 
-- Many thanks to CopyRight@[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)、[PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)、[PaddleGAN](https://github.com/PaddlePaddle/PaddleGAN)、[AnimeGAN](https://github.com/TachibanaYoshino/AnimeGANv2)、[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)、[PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg)、[Zhengxia Zou](https://github.com/jiupinjia/SkyAR)、[PaddleClas](https://github.com/PaddlePaddle/PaddleClas) for the pre-trained models, you can try to train your models with them.
 
+- Many thanks to CopyRight@[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR), [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection)、[PaddleGAN](https://github.com/PaddlePaddle/PaddleGAN), [AnimeGAN](https://github.com/TachibanaYoshino/AnimeGANv2)、[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)、[PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg), [Zhengxia Zou](https://github.com/jiupinjia/SkyAR)、[PaddleClas](https://github.com/PaddlePaddle/PaddleClas) for the pre-trained models, you can try to train your models with them.
 
-### **[Natural Language Processing (130 models)](./modules#Text)**
+
+#### 🎤 [Natural Language Processing Models](./modules#Text)
 <div align="center">
 <img src="./docs/imgs/Readme_Related/Text_all.gif"  width = "640" height = "240" />
 </div>
@@ -65,9 +63,7 @@ English | [简体中文](README_ch.md)
 
 
 
-### [Speech (15 models)](./modules#Audio)
-- ASR speech recognition algorithm, multiple algorithms are available.
-- The speech recognition effect is as follows:
+#### 🎧 [Speech Models](./modules#Audio)
 <div align="center">
 <table>
     <thead>
@@ -94,69 +90,51 @@ English | [简体中文](README_ch.md)
     </tbody>
 </table>
 </div>
-
-- TTS speech synthesis algorithm, multiple algorithms are available.
-- Input: `Life was like a box of chocolates, you never know what you're gonna get.`
-- The synthesis effect is as follows:
 <div align="center">
 <table>
     <thead>
     </thead>
     <tbody>
         <tr>
-            <th>deepvoice3 </th>
-            <th>fastspeech </th>
-            <th>transformer</th>
+            <th>Input Text </th>
+            <th>Output Audio </th>
         </tr>
         <tr>
-            <th>
-            <a href="https://paddlehub.bj.bcebos.com/resources/deepvoice3_ljspeech-0.wav">
-            <img src="./docs/imgs/Readme_Related/audio_icon.png" width=250 /></a><br>
-            </th>
+            <th>Life was like a box of chocolates, you never know what you're gonna get.</th>
             <th>
             <a href="https://paddlehub.bj.bcebos.com/resources/fastspeech_ljspeech-0.wav">
             <img src="./docs/imgs/Readme_Related/audio_icon.png" width=250 /></a><br>
             </th>
-            <th>
-            <a href="https://paddlehub.bj.bcebos.com/resources/transformer_tts_ljspeech-0.wav">
-            <img src="./docs/imgs/Readme_Related/audio_icon.png" width=250 /></a><br>
-            </th>
         </tr>
     </tbody>
 </table>
 </div>
 
 - Many thanks to CopyRight@[PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech) for the pre-trained models, you can try to train your models with PaddleSpeech.
 
-### [Video (8 models)](./modules#Video)
-- Short video classification trained via large-scale video datasets, supports 3000+ tag types prediction for short Form Videos.
-- Many thanks to CopyRight@[PaddleVideo](https://github.com/PaddlePaddle/PaddleVideo) for the pre-trained model, you can try to train your models with PaddleVideo.
-- `Example: Input a short video of swimming, the algorithm can output the result of "swimming"`
-<div align="center">
-<img src="./docs/imgs/Readme_Related/Text_Video.gif"  width = "400" height = "400" />
-</div>
 
-## ===**Key Points**===
-- All the above pre-trained models are all open source and free, and the number of models is continuously updated. Welcome **⭐Star⭐** to pay attention.
+### ⭐ Thanks for Your Star 
+- All the above pre-trained models are all **open source and free**, and the number of models is continuously updated. Welcome **Star** to pay attention.
 <div align="center">
 <a href="https://github.com/PaddlePaddle/PaddleHub/stargazers">
     <img src="./docs/imgs/Readme_Related/star_en.png"  width = "411" height = "100" /></a>  
 </div>
 
 <a name="Welcome_joinus"></a>
 
-## Welcome to join PaddleHub technical group
+## 🍻Welcome to join PaddleHub technical group
 
-If you have any questions during the use of the model, you can join the official WeChat group to get more efficient questions and answers, and fully communicate with developers from all walks of life. We look forward to your joining.
+- If you have any questions during the use of the model, you can join the official WeChat group to get more efficient questions and answers, and fully communicate with developers from all walks of life. We look forward to your joining.
 <div align="center">
 <img src="./docs/imgs/joinus.PNG"  width = "200" height = "200" />
-</div>  
-please add WeChat above and send "Hub" to the robot, the robot will invite you to join the group automatically.
+</div> 
+
+- please add WeChat above and send "Hub" to the robot, the robot will invite you to join the group automatically.
 
 <a name="QuickStart"></a>
-## QuickStart
+## ✈️QuickStart
 
-### The installation of required components.
+#### 🚁The installation of required components.
 ```python
 # install paddlepaddle with gpu
 # !pip install --upgrade paddlepaddle-gpu
@@ -168,7 +146,7 @@ please add WeChat above and send "Hub" to the robot, the robot will invite you t
 !pip install --upgrade paddlehub
 ```
 
-### The simplest cases of Chinese word segmentation.
+#### 🛫The simplest cases of Chinese word segmentation.
 
 ```python
 import paddlehub as hub
@@ -180,16 +158,14 @@ results = lac.cut(text=test_text, use_gpu=False, batch_size=1, return_tag=True)
 print(results)
 #{'word': ['今天', '是', '个', '好天气', '。'], 'tag': ['TIME', 'v', 'q', 'n', 'w']}
 ```
-### The simplest command of deploying lac service.
+#### 🛰️The simplest command of deploying lac service.
 </div>
 
 ```python
 !hub serving start -m lac
 ```
 
-More model description, please refer [Models List](https://www.paddlepaddle.org.cn/hublist)
-
-More API for transfer learning, please refer [Tutorial](https://paddlehub.readthedocs.io/en/release-v2.1/transfer_learning_index.html)
+- 📣More model description, please refer [Models List](./modules)
 
 ### Contribute a Gradio Demo to PaddlePaddle Organization on Hugging Face
 
@@ -200,11 +176,11 @@ More API for transfer learning, please refer [Tutorial](https://paddlehub.readth
 * once approved transfer model from your username to PaddlePaddle organization
 
 <a name="License"></a>
-## License
+## 📚License
 The release of this project is certified by the <a href="./LICENSE">Apache 2.0 license</a>.
 
 <a name="Contribution"></a>
-## Contribution
+## 👨‍👨‍👧‍👦Contribution
 
 <p align="center">
     <a href="https://github.com/nepeplwu"><img src="https://avatars.githubusercontent.com/u/45024560?v=4" width=75 height=75></a>