Add dark mode logo

lib/docs/.vitepress/config.mts

@@ -68,7 +68,10 @@ export default defineConfig({
   head: [['link', { rel: 'icon', href: '/LISA/favicon.ico' }]],
   // https://vitepress.dev/reference/default-theme-config
   themeConfig: {
-    logo: '/logo.png',
+    logo: {
+      light: '/logo-light.svg',
+      dark: '/logo-dark.svg',
+    },
     nav: [
       { text: 'Home', link: '/' },
       ...navLinks,

lib/docs/index.md

@@ -1,28 +1,29 @@
+---
 # https://vitepress.dev/reference/default-theme-home-page
 layout: home
 
 hero:
-name: "LISA Documentation"
-text: "LLM Inference Solution for Amazon Dedicated Cloud (LISA)"
-actions:
-- theme: brand
-text: Getting Started
-link: /admin/getting-started
+  name: "LISA Documentation"
+  text: "LLM Inference Solution for Amazon Dedicated Cloud (LISA)"
+  actions:
+    - theme: brand
+      text: Getting Started
+      link: /admin/getting-started
 
 features:
-- title: Authentication and Authorization
-  details: via AWS Cognito or OpenID Connect (OIDC) providers, ensuring secure access to both the REST API and Chat UI through token-based authentication and role-based access control.
-- title: Model Hosting
-  details: on AWS ECS with autoscaling and efficient traffic management using Application Load Balancers (ALBs), providing scalable and high-performance model inference.
-- title: Model Management
-  details: using AWS Step Functions to orchestrate complex workflows for creating, updating, and deleting models, automatically managing underlying ECS infrastructure.
-- title: Inference Requests
-  details: served via both the REST API and the Chat UI, dynamically routing user inputs to the appropriate ECS-hosted models for real-time inference.
-- title: Chat Interface
-  details: enabling users to interact with LISA through a user-friendly web interface, offering seamless real-time model interaction and session continuity.
-- title: Retrieval-Augmented Generation (RAG) Operations
-  details: leveraging either OpenSearch or PGVector for efficient retrieval of relevant external data to enhance model responses.
-
+  - title: Authentication and Authorization
+    details: via AWS Cognito or OpenID Connect (OIDC) providers, ensuring secure access to both the REST API and Chat UI through token-based authentication and role-based access control.
+  - title: Model Hosting
+    details: on AWS ECS with autoscaling and efficient traffic management using Application Load Balancers (ALBs), providing scalable and high-performance model inference.
+  - title: Model Management
+    details: using AWS Step Functions to orchestrate complex workflows for creating, updating, and deleting models, automatically managing underlying ECS infrastructure.
+  - title: Inference Requests
+    details: served via both the REST API and the Chat UI, dynamically routing user inputs to the appropriate ECS-hosted models for real-time inference.
+  - title: Chat Interface
+    details: enabling users to interact with LISA through a user-friendly web interface, offering seamless real-time model interaction and session continuity.
+  - title: Retrieval-Augmented Generation (RAG) Operations
+    details: leveraging either OpenSearch or PGVector for efficient retrieval of relevant external data to enhance model responses.
+---
 
 ### License Notice
 

lib/docs/package.json

@@ -5,9 +5,9 @@
   "description": "Documentation of LISA",
   "scripts": {
     "build": "vitepress build .",
-    "docs:dev": "vitepress dev docs",
-    "docs:build": "vitepress build docs",
-    "docs:preview": "vitepress preview docs"
+    "docs:dev": "vitepress dev .",
+    "docs:build": "vitepress build .",
+    "docs:preview": "vitepress preview ."
   },
   "author": "",
   "license": "Apache-2.0",