function App(){ const { values: tweaks, visible: tweaksVisible, update: updateTweaks } = useTweaks(); const { state, run, reset } = usePipelineRunner(); const [selected, setSelected] = React.useState(SAMPLES[0]); const [uploadedName, setUploadedName] = React.useState(null); const [drag, setDrag] = React.useState(false); const [history, setHistory] = React.useState([]); const [payloadExpanded, setPayloadExpanded] = React.useState(false); const [bitsExpanded, setBitsExpanded] = React.useState(false); const [extractedExpanded, setExtractedExpanded] = React.useState(false); const [recoveredExpanded, setRecoveredExpanded] = React.useState(false); const fileRef = React.useRef(null); const resultsRef = React.useRef(null); const [resultsHighlighted, setResultsHighlighted] = React.useState(false); React.useEffect(() => { if (state.result){ setHistory(h => [...h, state.result].slice(-12)); } }, [state.result]); const onViewResults = () => { if (resultsRef.current) { resultsRef.current.scrollIntoView({ behavior: "smooth", block: "start" }); } setResultsHighlighted(true); setTimeout(() => setResultsHighlighted(false), 2000); }; const onRun = async () => { let imageBase64 = selected.imageBase64; if (!imageBase64 && selected.src) { imageBase64 = await fetchSampleBase64(selected.src); } run({ ...selected, imageBase64 }); }; const onReset = () => { reset(); }; const svgToBase64 = (svgEl) => new Promise((resolve) => { const canvas = document.createElement("canvas"); canvas.width = 200; canvas.height = 200; const ctx = canvas.getContext("2d"); const svgStr = new XMLSerializer().serializeToString(svgEl); const blob = new Blob([svgStr], { type: "image/svg+xml" }); const url = URL.createObjectURL(blob); const img = new Image(); img.onload = () => { ctx.drawImage(img, 0, 0, 200, 200); URL.revokeObjectURL(url); resolve(canvas.toDataURL("image/png").split(",")[1]); }; img.onerror = () => { URL.revokeObjectURL(url); resolve(""); }; img.src = url; }); const onFile = (f) => { if (!f) return; setUploadedName(f.name); const reader = new FileReader(); reader.onload = (e) => { const base64 = e.target.result.split(",")[1]; setSelected({ id: "uploaded", label: f.name, seed: f.name.length + 3, imageBase64: base64 }); }; reader.readAsDataURL(f); }; const dropProps = { onDragOver: (e) => { e.preventDefault(); setDrag(true); }, onDragLeave: () => setDrag(false), onDrop: (e) => { e.preventDefault(); setDrag(false); const f = e.dataTransfer.files?.[0]; onFile(f); } }; const statusBanner = (() => { if (state.running){ const label = ["Initializing…","Stage 1 — OCR inference","Stage 2 — Huffman encode","Stage 2 — decode & verify"][state.stage]; return
{label}
; } if (state.result){ return
{state.result.lossless ? "LOSSLESS" : "MISMATCH"} {state.result.lossless ? `Recovered matches original` : `Mismatch — decompress output differs`} · {fmtMs(state.result.totalLatency)} end-to-end
; } return
Idle — choose a sample or drop an image to begin.
; })(); return (
CRISP.
2-Stage Neural Compression Pipeline · v0.1
services online
Pipeline Console
Upload image PNG · JPG
fileRef.current?.click()} role="button" >
Drop image, or click to browse
{uploadedName ? `Selected: ${uploadedName}` : ""}
onFile(e.target.files?.[0])} />
Sample images
{SAMPLES.map((s, i) => (
{ setSelected(s); setUploadedName(null); }}>
{String(i+1).padStart(2,"0")}
{s.label}
))}
{(state.result || state.running) && (
)}
Preview raw input
{selected.src ? {selected.label} : selected.imageBase64 ? uploaded : }
Byte comparison {state.result ? `${state.result.origBytes} B → ${state.result.compBytes} B` : "pending"}
{statusBanner}
Key metrics
Pipeline {tweaks.pipelineVariant} view
Results {state.result ? <>ready  {state.result.lossless ? "\u2713 lossless" : "\u2717 mismatch"} : "pending"}
Extracted text
{state.result ? {extractedExpanded ? state.result.recognized : state.result.recognized.slice(0, 120)} {!extractedExpanded && state.result.recognized.length > 120 ? <>{" "} setExtractedExpanded(true)} style={{ color: "var(--ink-3)", cursor: "pointer", fontSize: 10, letterSpacing: "0.08em", textDecoration: "underline", textUnderlineOffset: 3, whiteSpace: "nowrap" }}>read more : extractedExpanded ? <>{" "} setExtractedExpanded(false)} style={{ color: "var(--ink-4)", cursor: "pointer", fontSize: 10, letterSpacing: "0.08em", textDecoration: "underline", textUnderlineOffset: 3, whiteSpace: "nowrap" }}>show less : ""} : awaiting stage 1…}
Compressed
Payload
{state.result ? <>{payloadExpanded ? state.result.payload : state.result.payload.slice(0, 140)}{!payloadExpanded && state.result.payload.length > 140 ? setPayloadExpanded(true)} style={{ color: "var(--ok)", cursor: "pointer", fontWeight: 600 }}>{` …+${state.result.payload.length - 140} chars`} : payloadExpanded ? setPayloadExpanded(false)} style={{ color: "var(--ink-4)", cursor: "pointer", display: "block", marginTop: 6 }}>▲ collapse : ""} : }
{state.result && (() => { const allBits = Array.from(atob(state.result.payload)) .map(c => c.charCodeAt(0).toString(2).padStart(8, "0")) .join(""); const padLen = parseInt(allBits.slice(0, 3), 2); const dataBits = allBits.slice(3); const realBits = padLen > 0 ? dataBits.slice(0, -padLen) : dataBits; const padBits = padLen > 0 ? dataBits.slice(-padLen) : ""; const realGroups = realBits.match(/.{1,8}/g) || []; const visibleGroups = bitsExpanded ? realGroups : realGroups.slice(0, 16); return (
bit string · {realBits.length} data bits + {padLen} padding
{visibleGroups.map((g, i) => ( {g} {" "} ))} {!bitsExpanded && realGroups.length > 16 && ( setBitsExpanded(true)} style={{ color: "var(--ok)", cursor: "pointer", fontWeight: 600 }}> {" +"}{ realGroups.length - 16} more bytes )} {bitsExpanded && padBits && {padBits}} {bitsExpanded && ( setBitsExpanded(false)} style={{ color: "var(--ink-4)", cursor: "pointer", display: "block", marginTop: 6 }}>collapse )}
); })()}
Recovered
{state.result ? {recoveredExpanded ? state.result.recovered : state.result.recovered.slice(0, 120)} {!recoveredExpanded && state.result.recovered.length > 120 ? <>{" "} setRecoveredExpanded(true)} style={{ color: "var(--ink-3)", cursor: "pointer", fontSize: 10, letterSpacing: "0.08em", textDecoration: "underline", textUnderlineOffset: 3, whiteSpace: "nowrap" }}>read more : recoveredExpanded ? <>{" "} setRecoveredExpanded(false)} style={{ color: "var(--ink-4)", cursor: "pointer", fontSize: 10, letterSpacing: "0.08em", textDecoration: "underline", textUnderlineOffset: 3, whiteSpace: "nowrap" }}>show less : ""} : awaiting stage 3…}
CRISP · neural compression
pytorch · adaptive huffman · vitter algorithm v
); } ReactDOM.createRoot(document.getElementById("root")).render();