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WebSite/.env.example
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WebSite/.env.example
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# GEMINI_API_KEY: Required for Gemini AI API calls.
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# AI Studio automatically injects this at runtime from user secrets.
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# Users configure this via the Secrets panel in the AI Studio UI.
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GEMINI_API_KEY="MY_GEMINI_API_KEY"
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# APP_URL: The URL where this applet is hosted.
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# AI Studio automatically injects this at runtime with the Cloud Run service URL.
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# Used for self-referential links, OAuth callbacks, and API endpoints.
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APP_URL="MY_APP_URL"
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WebSite/.gitignore
vendored
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WebSite/.gitignore
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node_modules/
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build/
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dist/
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coverage/
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.DS_Store
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*.log
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.env*
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!.env.example
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WebSite/README.md
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WebSite/README.md
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<div align="center">
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<img width="1200" height="475" alt="GHBanner" src="https://github.com/user-attachments/assets/0aa67016-6eaf-458a-adb2-6e31a0763ed6" />
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</div>
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# Run and deploy your AI Studio app
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This contains everything you need to run your app locally.
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View your app in AI Studio: https://ai.studio/apps/b9650cf9-3b26-4e84-a699-78ba380bb4db
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## Run Locally
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**Prerequisites:** Node.js, Python 3.8+
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1. Install Python dependencies in the project root:
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`pip install -r ../requirements.txt`
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2. Install website dependencies:
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`npm install`
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3. Start the local Python backend:
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`npm run backend`
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4. In another terminal, run the website:
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`npm run dev`
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The website talks to `http://127.0.0.1:8787` and maps UI actions to:
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- `head_extension_app.py`: preview and four-state DICOM deformation output
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- `generate_head_extension_video.py`: 0° to target-angle MP4 generation
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- `video_generator_app.py`: kept as the desktop GUI wrapper for the same video generator
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## Data Flow
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The Image Library is now the source of DICOM data for the workstation:
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1. Open `数据影像库`.
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2. Click `上传文件夹` to choose a folder that contains `.dcm` files, or click `上传压缩包` to upload a `.zip` archive containing `.dcm` files.
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3. Click `调阅工作站` on a library item.
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4. The `影像变换工作站` will run preview, four-state deformation, and video generation from that selected library dataset.
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5. Four-state deformation results are packaged by the backend as a downloadable `.zip` file under `../web_results/`.
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6. Generated videos are also written under `../web_results/` and exposed as downloadable `.mp4` files.
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Uploaded DICOM datasets are stored by the local backend under `../web_library/`.
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WebSite/index.html
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WebSite/index.html
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<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>My Google AI Studio App</title>
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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</html>
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WebSite/metadata.json
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WebSite/metadata.json
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{
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"name": "",
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"description": "",
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"requestFramePermissions": [],
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"majorCapabilities": []
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}
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4320
WebSite/package-lock.json
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WebSite/package-lock.json
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35
WebSite/package.json
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WebSite/package.json
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{
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"name": "react-example",
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"private": true,
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"version": "0.0.0",
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"type": "module",
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"scripts": {
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"dev": "vite --port=3000 --host=0.0.0.0",
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"backend": "python ../web_backend.py",
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"build": "vite build",
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"preview": "vite preview",
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"clean": "rm -rf dist",
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"lint": "tsc --noEmit"
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},
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"dependencies": {
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"@google/genai": "^1.29.0",
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"@tailwindcss/vite": "^4.1.14",
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"@vitejs/plugin-react": "^5.0.4",
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"lucide-react": "^0.546.0",
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"react": "^19.0.1",
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"react-dom": "^19.0.1",
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"vite": "^6.2.3",
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"express": "^4.21.2",
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"dotenv": "^17.2.3",
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"motion": "^12.23.24"
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},
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"devDependencies": {
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"@types/node": "^22.14.0",
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"autoprefixer": "^10.4.21",
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"tailwindcss": "^4.1.14",
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"tsx": "^4.21.0",
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"typescript": "~5.8.2",
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"vite": "^6.2.3",
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"@types/express": "^4.17.21"
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}
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}
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WebSite/src/App.tsx
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WebSite/src/App.tsx
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WebSite/src/index.css
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WebSite/src/index.css
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@import "tailwindcss";
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WebSite/src/main.tsx
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WebSite/src/main.tsx
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import {StrictMode} from 'react';
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import {createRoot} from 'react-dom/client';
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import App from './App.tsx';
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import './index.css';
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createRoot(document.getElementById('root')!).render(
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<StrictMode>
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<App />
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</StrictMode>,
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);
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WebSite/tsconfig.json
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WebSite/tsconfig.json
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{
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"compilerOptions": {
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"target": "ES2022",
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"experimentalDecorators": true,
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"useDefineForClassFields": false,
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"module": "ESNext",
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"lib": [
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"ES2022",
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"DOM",
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"DOM.Iterable"
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],
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"skipLibCheck": true,
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"moduleResolution": "bundler",
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"isolatedModules": true,
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"moduleDetection": "force",
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"allowJs": true,
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"jsx": "react-jsx",
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"paths": {
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"@/*": [
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"./*"
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]
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},
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"allowImportingTsExtensions": true,
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"noEmit": true
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}
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}
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WebSite/vite.config.ts
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WebSite/vite.config.ts
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import tailwindcss from '@tailwindcss/vite';
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import react from '@vitejs/plugin-react';
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import path from 'path';
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import {defineConfig, loadEnv} from 'vite';
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export default defineConfig(({mode}) => {
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const env = loadEnv(mode, '.', '');
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return {
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plugins: [react(), tailwindcss()],
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define: {
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'process.env.GEMINI_API_KEY': JSON.stringify(env.GEMINI_API_KEY),
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},
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resolve: {
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alias: {
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'@': path.resolve(__dirname, '.'),
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},
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},
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server: {
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// HMR is disabled in AI Studio via DISABLE_HMR env var.
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// Do not modifyâfile watching is disabled to prevent flickering during agent edits.
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hmr: process.env.DISABLE_HMR !== 'true',
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},
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};
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});
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