feat: US-004 - Preload ONNX model during boot sequence
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@@ -6,6 +6,7 @@ import { LoginScreen } from './components/LoginScreen'
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import { DashboardLayout } from './components/DashboardLayout'
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import { AccessibilityProvider } from './contexts/AccessibilityContext'
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import { DetailPanelProvider } from './contexts/DetailPanelContext'
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import { initModel } from './lib/embedding-model'
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function SkipButton({ onSkip }: { onSkip: () => void }) {
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const [visible, setVisible] = useState(false)
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@@ -47,6 +48,10 @@ function App() {
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const [phase, setPhase] = useState<Phase>('login')
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const cursorPositionRef = useRef<{ x: number; y: number } | null>(null)
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useEffect(() => {
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initModel()
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}, [])
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const skipToLogin = () => setPhase('login')
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return (
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@@ -0,0 +1,26 @@
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import { pipeline, type FeatureExtractionPipeline } from '@xenova/transformers'
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let extractor: FeatureExtractionPipeline | null = null
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let loading = false
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export async function initModel(): Promise<void> {
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if (extractor || loading) return
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loading = true
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try {
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extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2') as FeatureExtractionPipeline
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} catch {
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// Silently swallow — model unavailable, semantic search won't activate
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} finally {
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loading = false
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}
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}
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export async function embedQuery(text: string): Promise<number[]> {
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if (!extractor) throw new Error('Model not loaded')
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const output = await extractor(text, { pooling: 'mean', normalize: true })
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return Array.from(output.data as Float32Array)
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}
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export function isModelReady(): boolean {
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return extractor !== null
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}
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