diff --git a/README.md b/README.md index 6635621..46440f9 100644 --- a/README.md +++ b/README.md @@ -29,10 +29,10 @@ macOS platforms. - Upload large videos (1080p/4K) beyond 8MB with auto compression - Support using natural language to make Nova Canvas generate images, remove backgrounds, replace backgrounds, and create images in similar styles. -- Support LaTeX formula rendering for Amazon Nova. +- Support LaTeX formula rendering (inline and display modes) for Amazon Nova. -The image below demonstrates SwiftChat rich markdown content support. We redesigned the UI with optimized font sizes and -line spacing for a more elegant and clean presentation. +We redesigned the UI with optimized font sizes and line spacing for a more elegant and clean presentation. The image +below demonstrates SwiftChat rich markdown content support (Paragraph, Code Blocks, Tables, LaTeX and more) ![](assets/markdown.png) @@ -167,11 +167,10 @@ We feature streamlined chat History, Settings pages, and intuitive Usage statist - [x] Check detailed token usage and image generation count in Settings - [x] In-app upgrade notifications (Android & macOS) -We have optimized the layout for landscape mode. As shown below, you can comfortably view table and code contents in -landscape orientation. +We have optimized the layout for landscape mode. As shown below, you can comfortably view table contents in landscape +orientation. ![](assets/landscape.png) -![](assets/landscape_code.png) ## What Makes SwiftChat Really "Swift"? diff --git a/README_CN.md b/README_CN.md index 73f265e..ad45e94 100644 --- a/README_CN.md +++ b/README_CN.md @@ -27,13 +27,14 @@ macOS 等多个平台。 - 支持直接在安卓和 iOS 设备上录制最长 30 秒的视频供 Nova 分析 - 支持自动压缩上传超过 8MB 的高清视频(1080p/4K) - 支持通过自然语言让 Nova Canvas 生成图片,去除背景,替换背景,以及生成类似风格的图片 -- 支持 Amazon Nova 系列渲染 LaTeX 公式 +- 支持 Amazon Nova 系列 LaTeX 公式渲染(行内混排和单独显示模式) -下图展示了 SwiftChat 支持丰富的 Markdown 内容渲染,其中我们从头设计了 UI,例如字号,行间距。使其展示更加美观简洁。 +其中我们从新设计了 UI,例如字号行间距等,使其展示更加美观简洁。下图展示了 SwiftChat 支持丰富的 Markdown 内容渲染(段落、代码块、表格、LaTeX +公式等)。 ![](assets/markdown.png) -你所看到的这些内容都可以在所有支持的平台上以原生 UI 的形式很好的呈现。 +你所看到的这些内容都可以在所有支持的平台上以原生 UI 的形式很好地呈现。 ## 架构 @@ -156,9 +157,8 @@ macOS 等多个平台。 - [x] 在设置中查看详细的 token 使用情况和图片生成数量 - [x] 应用内升级提示(Android 和 macOS) -我们针对横屏做了相应优化,下图展示了通过横屏模式您可以很好的阅读代码及表格内容。 +我们针对横屏做了相应优化,下图展示了通过横屏模式您可以很好地阅读表格内容。 ![](assets/landscape_zh.png) -![](assets/landscape_code_zh.png) ## 是什么让 SwiftChat 如此"迅速"? diff --git a/assets/landscape.png b/assets/landscape.png index de35dde..1ca0b60 100644 Binary files a/assets/landscape.png and b/assets/landscape.png differ diff --git a/assets/landscape_code.png b/assets/landscape_code.png deleted file mode 100644 index e85e205..0000000 Binary files a/assets/landscape_code.png and /dev/null differ diff --git a/assets/landscape_code_zh.png b/assets/landscape_code_zh.png deleted file mode 100644 index ce659db..0000000 Binary files a/assets/landscape_code_zh.png and /dev/null differ diff --git a/assets/landscape_zh.png b/assets/landscape_zh.png index d5039db..cad513a 100644 Binary files a/assets/landscape_zh.png and b/assets/landscape_zh.png differ diff --git a/server/README.md b/server/README.md index 8f84488..7227753 100644 --- a/server/README.md +++ b/server/README.md @@ -1,6 +1,6 @@ ## SwiftChat Backend API -The SwiftChat backend API is implemented using Python language and the FastAPI framework. It is packaged as a Docker image using [aws-lambda-adapter](https://github.com/awslabs/aws-lambda-web-adapter) and deployed to both AWS App Runner and AWS Lambda for execution. +The SwiftChat backend API is implemented using Python language and the FastAPI framework. It is packaged as a Docker image using [aws-lambda-adapter](https://github.com/awslabs/aws-lambda-web-adapter) and deployed to AWS App Runner or AWS Lambda for execution. ## API Reference