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import { motion, AnimatePresence } from 'framer-motion'
import { Settings, Hand } from 'lucide-react'
import { useWebcam } from './hooks/useWebcam'
import { useMediaPipe } from './hooks/useMediaPipe'
import { useWebSocket } from './hooks/useWebSocket'
import { WebcamFeed } from './components/WebcamFeed'
import { PredictionHUD } from './components/PredictionHUD'
import { OnboardingGuide } from './components/OnboardingGuide'
import { Calibration } from './components/Calibration'
import { ModelSelector } from './components/ModelSelector'
import type { ModelMode } from './types'
type AppStage = 'onboarding' | 'model-select' | 'calibration' | 'running'
function App() {
// ββ Stage management βββββββββββββββββββββββββββββββββββββββββ
const showOnboarding = !localStorage.getItem('sanketsetu-onboarded')
const [stage, setStage] = useState<AppStage>(showOnboarding ? 'onboarding' : 'model-select')
const savedModel = localStorage.getItem('sanketsetu-model-mode') as ModelMode | null
const [selectedModel, setSelectedModel] = useState<ModelMode>(savedModel ?? 'ensemble')
// Default all modes to available so the selector is usable even before the
// health check completes or if the backend is temporarily unreachable.
const [availableModes, setAvailableModes] = useState<Set<ModelMode>>(
new Set<ModelMode>(['ensemble', 'A', 'B', 'C'])
)
const handleOnboardingDone = () => {
localStorage.setItem('sanketsetu-onboarded', '1')
setStage('model-select')
}
const handleModelContinue = () => {
localStorage.setItem('sanketsetu-model-mode', selectedModel)
setStage('calibration')
}
useEffect(() => {
let active = true
const healthUrl = `${resolveBackendHttpBase()}/health`
const loadAvailability = async () => {
try {
const res = await fetch(healthUrl)
if (!res.ok) return
const data = (await res.json()) as { pipelines_available?: string[] }
if (!active) return
// Only restrict availability when the backend explicitly reports which
// pipelines are loaded. If the list is empty (still loading) keep all
// modes selectable so the user isn't blocked.
const reported = data.pipelines_available ?? []
if (reported.length > 0) {
const next = new Set<ModelMode>(['ensemble'])
for (const mode of reported) {
if (mode === 'A' || mode === 'B' || mode === 'C') next.add(mode as ModelMode)
}
setAvailableModes(next)
}
} catch {
// Keep local defaults when backend health is unavailable.
}
}
loadAvailability()
return () => {
active = false
}
}, [])
useEffect(() => {
if (selectedModel !== 'ensemble' && !availableModes.has(selectedModel)) {
setSelectedModel('ensemble')
}
}, [availableModes, selectedModel])
// ββ Webcam βββββββββββββββββββββββββββββββββββββββββββββββββββ
const { videoRef, isReady, error, facingMode, switchCamera } = useWebcam()
// ββ MediaPipe ββββββββββββββββββββββββββββββββββββββββββββββββ
const { landmarks, rawLandmarks, isLoading: mpLoading, error: mpError, startDetection, stopDetection } =
useMediaPipe()
useEffect(() => {
if (isReady && videoRef.current && stage === 'running') {
startDetection(videoRef.current)
} else if (stage !== 'running') {
stopDetection()
}
}, [isReady, stage, startDetection, stopDetection, videoRef])
// Start detecting during calibration too (to detect hand)
useEffect(() => {
if (isReady && videoRef.current && stage === 'calibration') {
startDetection(videoRef.current)
}
}, [isReady, stage, startDetection, videoRef])
// ββ WebSocket ββββββββββββββββββββββββββββββββββββββββββββββββ
const { lastPrediction, isConnected, latency, lowBandwidth, sendLandmarks } = useWebSocket()
const imageCanvasRef = useRef<HTMLCanvasElement | null>(null)
// Send landmarks on every new frame
useEffect(() => {
if (stage === 'running' && landmarks) {
let imageB64: string | undefined
if (selectedModel === 'C' && videoRef.current) {
imageB64 = captureVideoFrame(videoRef.current, imageCanvasRef)
}
sendLandmarks(landmarks, {
modelMode: selectedModel,
imageB64,
})
}
}, [landmarks, selectedModel, sendLandmarks, stage, videoRef])
// Was the last prediction recently (within 1.5s)?
const lastPredTs = useRef(0)
const [recognised, setRecognised] = useState(false)
useEffect(() => {
if (lastPrediction) {
lastPredTs.current = Date.now()
setRecognised(true)
setTimeout(() => setRecognised(false), 800)
}
}, [lastPrediction])
return (
<div className="bg-animated min-h-screen flex flex-col">
{/* ββ Onboarding overlay βββββββββββββββββββββββββββββββββββ */}
<AnimatePresence>
{stage === 'onboarding' && (
<OnboardingGuide onComplete={handleOnboardingDone} />
)}
</AnimatePresence>
{/* ββ Model selector overlay βββββββββββββββββββββββββββββββ */}
<AnimatePresence>
{stage === 'model-select' && (
<ModelSelector
selectedMode={selectedModel}
availableModes={availableModes}
onSelectMode={setSelectedModel}
onContinue={handleModelContinue}
/>
)}
</AnimatePresence>
{/* ββ Calibration overlay ββββββββββββββββββββββββββββββββββ */}
<AnimatePresence>
{stage === 'calibration' && (
<Calibration
handDetected={!!rawLandmarks}
onReady={() => setStage('running')}
/>
)}
</AnimatePresence>
{/* ββ Reconnecting banner βββββββββββββββββββββββββββββββββ */}
<AnimatePresence>
{!isConnected && stage === 'running' && (
<motion.div
key="reconnect-banner"
initial={{ opacity: 0, y: -20 }}
animate={{ opacity: 1, y: 0 }}
exit={{ opacity: 0, y: -20 }}
className="fixed top-0 left-0 right-0 z-50 text-center py-2 text-sm font-medium"
style={{ background: 'rgba(251,113,133,0.9)', color: '#fff' }}
>
Reconnecting to serverβ¦
</motion.div>
)}
</AnimatePresence>
{/* ββ Low-bandwidth banner βββββββββββββββββββββββββββββββββββ */}
<AnimatePresence>
{lowBandwidth && isConnected && (
<motion.div
key="lowbw-banner"
initial={{ opacity: 0, y: -20 }}
animate={{ opacity: 1, y: 0 }}
exit={{ opacity: 0, y: -20 }}
className="fixed top-0 left-0 right-0 z-50 text-center py-2 text-sm font-medium"
style={{ background: 'rgba(234,179,8,0.9)', color: '#000' }}
>
High latency detected β reduced to 5 fps to conserve bandwidth
</motion.div>
)}
</AnimatePresence>
{/* ββ Header βββββββββββββββββββββββββββββββββββββββββββββββ */}
<header className="flex items-center justify-between px-3 py-3 sm:px-6 sm:py-4">
<div className="flex items-center gap-2 sm:gap-3">
<Hand size={20} style={{ color: '#00f5d4' }} />
<h1 className="text-base sm:text-xl font-bold tracking-wide" style={{ color: '#e2e8f0' }}>
Sanket<span className="glow-text">Setu</span>
<span className="hidden sm:inline ml-2 text-sm font-normal text-slate-500">| ΰͺΈΰͺΰͺΰ«ΰͺ€-ΰͺΈΰ«ΰͺ€ΰ«</span>
</h1>
</div>
<div className="flex items-center gap-2 text-slate-500 text-xs">
{mpLoading && <span className="hidden sm:inline">Loading AIβ¦</span>}
{mpLoading && <span className="sm:hidden">AIβ¦</span>}
{mpError && <span className="text-rose-400 text-xs max-w-[120px] truncate">{mpError}</span>}
<Settings size={16} className="cursor-pointer hover:text-slate-300 transition-colors" />
</div>
</header>
{/* ββ Main content βββββββββββββββββββββββββββββββββββββββββ */}
<main className="flex-1 flex flex-col lg:flex-row items-stretch lg:items-start justify-center gap-3 sm:gap-6 px-2 sm:px-4 pb-4 sm:pb-8 lg:px-8">
{/* Webcam panel */}
<motion.div
initial={{ opacity: 0, y: 20 }}
animate={{ opacity: 1, y: 0 }}
transition={{ delay: 0.1 }}
className="w-full lg:flex-1 flex justify-center"
>
<WebcamFeed
videoRef={videoRef}
isReady={isReady}
error={error}
rawLandmarks={rawLandmarks}
recognised={recognised}
facingMode={facingMode}
onSwitchCamera={switchCamera}
/>
</motion.div>
{/* HUD panel */}
<motion.div
initial={{ opacity: 0, x: 20 }}
animate={{ opacity: 1, x: 0 }}
transition={{ delay: 0.2 }}
className="w-full lg:w-auto flex justify-center lg:justify-start pt-0 lg:pt-2"
>
<PredictionHUD
prediction={lastPrediction}
isConnected={isConnected}
latency={latency}
lowBandwidth={lowBandwidth}
selectedModel={selectedModel}
/>
</motion.div>
</main>
</div>
)
}
function captureVideoFrame(
video: HTMLVideoElement,
canvasRef: { current: HTMLCanvasElement | null },
): string | undefined {
if (!video.videoWidth || !video.videoHeight) return undefined
if (!canvasRef.current) {
canvasRef.current = document.createElement('canvas')
}
const canvas = canvasRef.current
canvas.width = 128
canvas.height = 128
const ctx = canvas.getContext('2d')
if (!ctx) return undefined
// Center-crop to square before resizing to model input size.
const side = Math.min(video.videoWidth, video.videoHeight)
const sx = (video.videoWidth - side) / 2
const sy = (video.videoHeight - side) / 2
ctx.drawImage(video, sx, sy, side, side, 0, 0, 128, 128)
return canvas.toDataURL('image/jpeg', 0.85).replace(/^data:image\/jpeg;base64,/, '')
}
function resolveBackendHttpBase(): string {
const envWs = import.meta.env.VITE_WS_URL as string | undefined
if (envWs) {
return envWs
.replace(/^wss:\/\//i, 'https://')
.replace(/^ws:\/\//i, 'http://')
}
if (import.meta.env.DEV) return 'http://localhost:8000'
return window.location.origin
}
export default App
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