doc: Update README and LICENSE

Author: greyovo

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Jiehui Liu
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -4,16 +4,21 @@
 
 ![cover_cn](assets/cover_cn.jpg)
 
-用平常说话的方式搜索本地相册中的图片——完全离线本地运行！
+🔍 用平常说话的方式搜索本地相册中的图片——无需联网、本地运行
 
+借助图搜，您可以用平常说话的方式来搜索手机里的照片。例如：“草丛中的猫咪”、“桌上的笔记本电脑”、“粉色衣服的女孩”，等等。
 
+- 完全免费，没有任何内购
+- 对图像的索引和搜索完全离线运行，无需担心隐私安全
+- 支持中英双语搜索
+- 为移动设备专门优化的模型，上万张照片也能1秒呈现结果
+- 只需要首次使用时进行索引，后续即可立刻搜索
 
 ## 获取方式
 
 <a href='https://play.google.com/store/apps/details?id=me.grey.picquery&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1'><img style="width:130px" src='./assets/google-play-badge-cn.png'/></a> 
 
 - Google Play： 搜索 “图搜” 或 “PicQuery”，或点击上方链接
-
 - 从本仓库下载：[Release](https://github.com/greyovo/PicQuery/releases)
 
 **其他方式：**
@@ -22,13 +27,13 @@
 - 镜像站加速：将 [Release](https://github.com/greyovo/PicQuery/releases) 中的文件下载链接复制到 [GitHub Proxy](https://ghproxy.com/) 中下载
 - 国内应用市场（待上线）
 
-> iOS 用户请使用 [“寻隐”](https://apps.apple.com/cn/app/寻隐-用句子描述找照片/id1664361663)，它是图搜的灵感来源，由 [@mazzzystar](https://github.com/mazzzystar) 开发并开源。
+> 🍎 iOS 用户请使用 [“寻隐”](https://apps.apple.com/cn/app/寻隐-用句子描述找照片/id1664361663)，它是图搜的灵感来源，由 [@mazzzystar](https://github.com/mazzzystar) 开发并开源。
 
 
 
 ## 实现原理
 
-> 感谢 [@mazzzystar](https://github.com/mazzzystar) 和 [@Young-Flash](https://github.com/Young-Flash) 在本应用开发过程中的帮助，讨论过程可 [在此查看](https://github.com/mazzzystar/Queryable/issues/12)。
+> 感谢 [@mazzzystar](https://github.com/mazzzystar) 和 [@Young-Flash](https://github.com/Young-Flash) 在本应用开发过程中的[协助与讨论](https://github.com/mazzzystar/Queryable/issues/12)。
 
 本应用基于 OpenAI 的 [CLIP 模型](https://github.com/openai/CLIP) 实现。
 
@@ -43,7 +48,7 @@
 - `clip-image-encoder-quant-int8.onnx`
 - `clip-text-encoder-quant-int8.onnx`
 
-将它们放入 `app\src\main\assets` 中，然后就可以构建和运行了。
+将它们放入 `app\src\main\assets` 中，即可构建和运行。
 
 
 
@@ -52,4 +57,10 @@
 
 - [mazzzystar/Queryable](https://github.com/mazzzystar/Queryable)
 - [Young-Flash](https://github.com/Young-Flash)
-- [IacobIonut01/Gallery](https://github.com/IacobIonut01/Gallery)
+- [IacobIonut01/Gallery](https://github.com/IacobIonut01/Gallery)
+
+
+
+## 开源协议
+
+本项目基于 MIT 许可协议开源，保留所有权利。

README_en.md

@@ -4,7 +4,15 @@
 
 ![cover_en](assets/cover_en.jpg)
 
-Search for your local images in the way you normally talk, running completely offline
+🔍 Search for your local images with natural language, running completely offline. For example, "a laptop on the desk", "sunset by the sea", "kitty in the grass", and so on.
+
+- Totally free, NO in-app purchases
+- Support both English and Chinese
+- Indexing and searching of images works completely offline without worrying about privacy
+- Show results in less than 1 second when searcing for 8,000+ photos
+- Wait for indexing on the first time you launch, and search immediately afterwards
+
+
 
 ## Installation
 
@@ -13,11 +21,11 @@ Search for your local images in the way you normally talk, running completely of
 - Google Play - Search for “PicQuery”，or click the button above
 - Download APK from [Release](https://github.com/greyovo/PicQuery/releases)
 
-> For iOS, please refer to *[Queryable](https://apps.apple.com/us/app/queryable-find-photo-by-text/id1661598353)*, the inspiration behind this application, developed and open-sourced by [@mazzzystar](https://github.com/mazzzystar).
+> 🍎 For iOS users, please refer to *[Queryable](https://apps.apple.com/us/app/queryable-find-photo-by-text/id1661598353)*, the inspiration behind this application, developed and open-sourced by [@mazzzystar](https://github.com/mazzzystar).
 
 ## Implementation
 
-> Thanks to [@mazzzystar](https://github.com/mazzzystar) and [@Young-Flash](https://github.com/Young-Flash) for their assistance during the development of this application. The discussion can be viewed [here](https://github.com/mazzzystar/Queryable/issues/12).
+> Thanks to [@mazzzystar](https://github.com/mazzzystar) and [@Young-Flash](https://github.com/Young-Flash) for their assistance during the development. The discussion can be viewed [here](https://github.com/mazzzystar/Queryable/issues/12).
 
 *PicQuery* is powered by OpenAI's [CLIP model](https://github.com/openai/CLIP). 
 
@@ -38,3 +46,8 @@ Put them into `app\src\main\assets` and you're ready to build and run.
 - [mazzzystar/Queryable](https://github.com/mazzzystar/Queryable)
 - [Young-Flash](https://github.com/Young-Flash)
 - [IacobIonut01/Gallery](https://github.com/IacobIonut01/Gallery)
+
+## License
+
+This project is open source under MIT license. All rights reserved.
+