| import { useEffect, useMemo, useState } from 'react' | |
| import { marked } from 'marked' | |
| import { MapView } from './components/MapView' | |
| import { spots, type Spot } from './data/spots' | |
| type Stage = 'idle' | 'loading' | 'streaming' | |
| const pipeline = [ | |
| { label: 'Capture', detail: 'Snap/upload a campus photo from phone or laptop' }, | |
| { label: 'Swin geo-locator', detail: 'Swin Transformer predicts lat/lng + confidence from the image' }, | |
| { | |
| label: 'LLM enrichment', | |
| detail: 'Predicted coords + building cues go to GPT to craft a tailored prompt and narrative', | |
| }, | |
| { | |
| label: 'Render', | |
| detail: 'Map pin drops, coordinates lock in, and we stream the Penn landmark background', | |
| }, | |
| ] | |
| const randomLoadingMs = () => 2600 + Math.random() * 1800 | |
| const buildStreamContent = (spot: Spot) => { | |
| const header = `# Prediction` | |
| const coords = `Lat/Lng: ${spot.lat.toFixed(4)}, ${spot.lng.toFixed(4)}` | |
| const facts = ['**Quick facts:**', `- ${coords}`, '- Model: Swin Transformer + retrieval postprocess'].join('\n') | |
| return [header, spot.narrative, `**Location note:** ${spot.background}`, facts].join('\n\n') | |
| } | |
| export default function App() { | |
| const [selectedId, setSelectedId] = useState(spots[0]?.id ?? '') | |
| const [stage, setStage] = useState<Stage>('loading') | |
| const [typedText, setTypedText] = useState('') | |
| const [progress, setProgress] = useState(0) | |
| const selected: Spot = useMemo( | |
| () => spots.find((spot) => spot.id === selectedId) ?? spots[0], | |
| [selectedId], | |
| )! | |
| const renderedMarkdown = useMemo(() => { | |
| if (stage === 'loading') return '' | |
| return marked.parse(typedText || '') | |
| }, [typedText, stage]) | |
| useEffect(() => { | |
| if (!selected) return | |
| let streamTimer: ReturnType<typeof setInterval> | undefined | |
| let progressTimer: ReturnType<typeof setInterval> | undefined | |
| setStage('loading') | |
| setTypedText('') | |
| setProgress(0) | |
| progressTimer = setInterval(() => { | |
| setProgress((prev) => Math.min(95, prev + 5 + Math.random() * 8)) | |
| }, 260) | |
| const loadTimer = setTimeout(() => { | |
| setStage('streaming') | |
| if (progressTimer) clearInterval(progressTimer) | |
| setProgress(100) | |
| const text = buildStreamContent(selected) | |
| let index = 0 | |
| streamTimer = setInterval(() => { | |
| index += 2 | |
| setTypedText(text.slice(0, index)) | |
| if (index >= text.length) { | |
| if (streamTimer) clearInterval(streamTimer) | |
| setStage('idle') | |
| } | |
| }, 18) | |
| }, randomLoadingMs()) | |
| return () => { | |
| clearTimeout(loadTimer) | |
| if (progressTimer) clearInterval(progressTimer) | |
| if (streamTimer) clearInterval(streamTimer) | |
| } | |
| }, [selected]) | |
| return ( | |
| <div className="app-shell"> | |
| <header className="hero"> | |
| <div className="hero__text"> | |
| <p className="eyebrow">Image -> GPS | Swin Transformer</p> | |
| <h1>Guess where you are @ Penn Engineering</h1> | |
| <p className="lede"> | |
| Snap a pic and we'll guess your coordinates. Pick a sample on the left; after a few seconds of thinking, | |
| you'll see lat/lng, a description, and a map pin. | |
| </p> | |
| <div className="pill-row"> | |
| <span className="pill pill--accent">Swin Transformer</span> | |
| <span className="pill">Geo retrieval</span> | |
| <span className="pill">Penn Engineering</span> | |
| </div> | |
| </div> | |
| </header> | |
| <div className="layout"> | |
| <aside className="panel gallery"> | |
| <div className="panel__header"> | |
| <div> | |
| <p className="eyebrow">Sample set</p> | |
| <h3>Pick an image to test</h3> | |
| <p className="microcopy">6 starter examples.</p> | |
| </div> | |
| </div> | |
| <div className="gallery__grid"> | |
| {[spots.slice(0, Math.ceil(spots.length / 2)), spots.slice(Math.ceil(spots.length / 2))].map( | |
| (col, idx) => ( | |
| <div className="gallery-col" key={idx}> | |
| {col.map((spot) => { | |
| const active = spot.id === selected.id | |
| return ( | |
| <button | |
| key={spot.id} | |
| className={`spot-card ${active ? 'spot-card--active' : ''}`} | |
| onClick={() => setSelectedId(spot.id)} | |
| > | |
| <div className="spot-thumb"> | |
| <img src={spot.image} alt="sample" loading="lazy" /> | |
| </div> | |
| </button> | |
| ) | |
| })} | |
| </div> | |
| ), | |
| )} | |
| </div> | |
| </aside> | |
| <main className="panel details"> | |
| <section className="card status-card"> | |
| <div className="status-row"> | |
| <div> | |
| <p className="eyebrow">Inference status</p> | |
| <h3> | |
| {stage === 'loading' | |
| ? 'Processing image...' | |
| : stage === 'streaming' | |
| ? 'Streaming description...' | |
| : 'Complete'} | |
| </h3> | |
| <p className="microcopy"> | |
| Expect ~3-5 seconds while the model runs, coordinates lock in, and the markdown description streams out. | |
| </p> | |
| </div> | |
| <div className="progress"> | |
| <div className="progress__bar" style={{ width: `${progress}%` }} /> | |
| </div> | |
| </div> | |
| <div className="status-steps"> | |
| {['Queue / preprocess', 'Model forward', 'Postprocess', 'Format + render'].map((label, index) => { | |
| const active = | |
| (stage === 'loading' && index === 1) || | |
| (stage === 'streaming' && index >= 1) || | |
| stage === 'idle' | |
| return ( | |
| <div key={label} className={`status-chip ${active ? 'status-chip--active' : ''}`}> | |
| <span className="dot" /> | |
| <span>{label}</span> | |
| </div> | |
| ) | |
| })} | |
| </div> | |
| </section> | |
| <section className="card map-card"> | |
| <div className="map-wrap"> | |
| {stage === 'loading' ? ( | |
| <div className="map-placeholder"> | |
| <div className="pulse-dot" /> | |
| <div> | |
| <p className="eyebrow">Predicting coordinates</p> | |
| <h3>Waiting for location...</h3> | |
| <p className="microcopy">Map will render once lat/lng are ready.</p> | |
| </div> | |
| </div> | |
| ) : ( | |
| <MapView | |
| lat={selected.lat} | |
| lng={selected.lng} | |
| zoom={selected.zoom ?? 13} | |
| title={selected.title} | |
| /> | |
| )} | |
| <div className="map-overlay"> | |
| <div> | |
| <p className="eyebrow">Predicted coordinates</p> | |
| <h3> | |
| {stage === 'loading' | |
| ? '--.-- , --.--' | |
| : `${selected.lat.toFixed(4)}, ${selected.lng.toFixed(4)}`} | |
| </h3> | |
| <p className="microcopy">{stage === 'loading' ? 'Locating...' : 'Coordinate locked in'}</p> | |
| </div> | |
| <div className="coordinate-box"> | |
| <div className="coord-label">Lat</div> | |
| <div className="coord-value"> | |
| {stage === 'loading' ? '--.--' : selected.lat.toFixed(4)} | |
| </div> | |
| <div className="coord-label">Lng</div> | |
| <div className="coord-value"> | |
| {stage === 'loading' ? '--.--' : selected.lng.toFixed(4)} | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </section> | |
| <section className="card info-card"> | |
| <div className="stream-header"> | |
| <p className="eyebrow">Streaming description</p> | |
| <span className={`pill ${stage !== 'loading' ? 'pill--accent' : 'pill--ghost'}`}> | |
| {stage === 'loading' ? 'Pending' : 'Done'} | |
| </span> | |
| </div> | |
| <div className="stream-body"> | |
| {stage === 'loading' ? ( | |
| <div className="skeleton"> | |
| <div /> | |
| <div /> | |
| <div /> | |
| </div> | |
| ) : ( | |
| <div className="markdown-preview" dangerouslySetInnerHTML={{ __html: renderedMarkdown }} /> | |
| )} | |
| </div> | |
| </section> | |
| <section className="card pipeline-card"> | |
| <p className="eyebrow">How it works</p> | |
| <h3>Image2GPS pipeline</h3> | |
| <p className="microcopy"> | |
| One photo flows through four handoff stages: capture, geo inference, language enrichment, and a final | |
| render that drops a map pin with Penn-specific storytelling. | |
| </p> | |
| <div className="timeline"> | |
| {pipeline.map((step, index) => ( | |
| <div key={step.label} className="timeline__row"> | |
| <div className="timeline__marker"> | |
| <span className="timeline__index">{index + 1}</span> | |
| {index < pipeline.length - 1 && <span className="timeline__connector" aria-hidden="true" />} | |
| </div> | |
| <div className="timeline__card"> | |
| <h4>{step.label}</h4> | |
| <p className="microcopy">{step.detail}</p> | |
| </div> | |
| </div> | |
| ))} | |
| </div> | |
| <div className="timeline__outcome"> | |
| <div className="label">Outputs</div> | |
| <p className="microcopy"> | |
| Locked coordinates, GPT-authored narration, and a synced map preview—ready to explore the Penn campus in | |
| context. | |
| </p> | |
| </div> | |
| </section> | |
| </main> | |
| </div> | |
| </div> | |
| ) | |
| } | |