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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta http-equiv="content-type" content="text/html; charset=UTF-8" /> |
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<title>fka/awesome-chatgpt-prompts</title> |
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<link rel="preconnect" href="https://fonts.googleapis.com"> |
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> |
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<link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet"> |
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" /> |
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" /> |
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<script src="https://unpkg.com/deck.gl@latest/dist.min.js"></script> |
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<script src="https://unpkg.com/[email protected]"></script> |
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<style> |
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body { |
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margin: 0; |
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padding: 0; |
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overflow: hidden; |
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background: #ffffff; |
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} |
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#deck-container { |
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width: 100vw; |
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height: 100vh; |
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} |
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#deck-container canvas { |
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z-index: 1; |
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background: #ffffff; |
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} |
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.deck-tooltip { |
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font-size: 0.8em; |
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font-family: Roboto; |
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font-weight: 300; |
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color: #000000 !important; |
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background-color: #ffffffaa !important; |
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border-radius: 12px; |
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box-shadow: 2px 3px 10px #aaaaaa44; |
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max-width: 25%; |
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} |
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#loading { |
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width: 100%; |
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height: 100%; |
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top: 0px; |
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left: 0px; |
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position: absolute; |
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display: block; |
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z-index: 99 |
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} |
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#loading-image { |
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position: absolute; |
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top: 45%; |
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left: 47.5%; |
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z-index: 100 |
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} |
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#title-container { |
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position: absolute; |
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top: 0; |
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left: 0; |
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margin: 16px; |
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padding: 12px; |
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border-radius: 16px; |
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line-height: 0.95; |
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z-index: 2; |
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font-family: Roboto; |
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color: #000000; |
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background: #ffffffaa; |
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box-shadow: 2px 3px 10px #aaaaaa44; |
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} |
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#search-container{ |
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position: absolute; |
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left: -16px; |
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margin: 16px; |
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padding: 12px; |
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border-radius: 16px; |
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z-index: 2; |
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font-family: Roboto; |
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color: #000000; |
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background: #ffffffaa; |
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width: fit-content; |
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box-shadow: 2px 3px 10px #aaaaaa44; |
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} |
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input { |
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margin: 2px; |
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padding: 4px; |
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border-radius: 8px; |
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color: #000000; |
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background: #ffffffdd; |
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border: 1px solid #ddddddff; |
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transition: 0.5s; |
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outline: none; |
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} |
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input:focus { |
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border: 2px solid #555; |
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} |
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</style> |
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</head> |
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<body> |
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<div id="loading"> |
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<img id="loading-image" src="https://i.gifer.com/ZKZg.gif" alt="Loading..." width="5%"/> |
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</div> |
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<div id="title-container"> |
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<span style="font-family:Roboto;font-size:36pt;color:#000000"> |
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fka/awesome-chatgpt-prompts |
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</span><br/> |
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<span style="font-family:Roboto;font-size:18pt;color:#777777"> |
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Data map for the entire <a href='https://huggingface.co/datasets/fka/awesome-chatgpt-prompts/viewer/default/train' target='_blank'>dataset</a> (170 rows) using the column 'prompt' |
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</span> |
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<div id="search-container"> |
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<input autocomplete="off" type="search" id="search" placeholder="🔍"> |
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</div> |
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</div> |
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<div id="deck-container"> |
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</div> |
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</body> |
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<script type="module"> |
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import { ArrowLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/[email protected]/+esm' |
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import { JSONLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/[email protected]/+esm' |
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const pointDataBuffer = fflate.strToU8(atob(pointDataBase64), true); |
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const pointData = await loaders.parse(pointDataBuffer, ArrowLoader); |
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const hoverDataBase64 = 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"; 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const hoverDataBuffer = fflate.strToU8(atob(hoverDataBase64), true); |
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const unzippedHoverData = fflate.gunzipSync(hoverDataBuffer); |
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const hoverData = await loaders.parse(unzippedHoverData, ArrowLoader); |
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const labelDataBase64 = "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"; |
|
const labelDataBuffer = fflate.strToU8(atob(labelDataBase64), true); |
|
const unzippedLabelData = fflate.gunzipSync(labelDataBuffer); |
|
const labelData = await loaders.parse(unzippedLabelData, JSONLoader); |
|
|
|
|
|
const DATA = {src: pointData.data, length: pointData.data.x.length} |
|
|
|
const container = document.getElementById('deck-container'); |
|
const pointLayer = new deck.ScatterplotLayer({ |
|
id: 'dataPointLayer', |
|
data: DATA, |
|
getPosition: (object, {index, data}) => { |
|
return [data.src.x[index], data.src.y[index]]; |
|
}, |
|
|
|
getRadius: 0.1, |
|
|
|
getFillColor: (object, {index, data}) => { |
|
return [ |
|
data.src.r[index], |
|
data.src.g[index], |
|
data.src.b[index], |
|
180 |
|
] |
|
}, |
|
getLineColor: (object, {index, data}) => { |
|
return [ |
|
data.src.r[index], |
|
data.src.g[index], |
|
data.src.b[index], |
|
32 |
|
] |
|
}, |
|
getLineColor: [250, 250, 250, 128], |
|
getLineWidth: 0.001, |
|
highlightColor: [170, 0, 0, 187], |
|
lineWidthMaxPixels: 8, |
|
lineWidthMinPixels: 0.1, |
|
radiusMaxPixels: 24, |
|
radiusMinPixels: 0.01, |
|
radiusUnits: "common", |
|
lineWidthUnits: "common", |
|
autoHighlight: true, |
|
pickable: true, |
|
stroked: true |
|
}); |
|
const labelLayer = new deck.TextLayer({ |
|
id: "textLabelLayer", |
|
data: labelData, |
|
pickable: false, |
|
getPosition: d => [d.x, d.y], |
|
getText: d => d.label, |
|
getColor: d => [d.r, d.g, d.b], |
|
getSize: d => d.size, |
|
sizeScale: 1, |
|
sizeMinPixels: 18, |
|
sizeMaxPixels: 36, |
|
outlineWidth: 8, |
|
outlineColor: [238, 238, 238, 221], |
|
getBackgroundColor: [255, 255, 255, 64], |
|
getBackgroundPadding: [15, 15, 15, 15], |
|
background: true, |
|
characterSet: "auto", |
|
fontFamily: "Roboto", |
|
fontWeight: 900, |
|
lineHeight: 0.95, |
|
fontSettings: {"sdf": true}, |
|
getTextAnchor: "middle", |
|
getAlignmentBaseline: "center", |
|
lineHeight: 0.95, |
|
elevation: 100, |
|
|
|
collisionEnabled: true, |
|
getCollisionPriority: d => d.size, |
|
collisionTestProps: { |
|
sizeScale: 3, |
|
sizeMaxPixels: 36 * 2, |
|
sizeMinPixels: 18 * 2 |
|
}, |
|
extensions: [new deck.CollisionFilterExtension()], |
|
}); |
|
|
|
const boundaryLayer = new deck.PolygonLayer({ |
|
data: labelData, |
|
stroked: true, |
|
filled: false, |
|
getLineColor: d => [d.r, d.g, d.b, d.a], |
|
getPolygon: d => d.polygon, |
|
lineWidthUnits: "common", |
|
getLineWidth: d => d.size * d.size, |
|
lineWidthScale: 1 * 5e-5, |
|
lineJointRounded: true, |
|
lineWidthMaxPixels: 4, |
|
lineWidthMinPixels: 0.0, |
|
}); |
|
|
|
|
|
const deckgl = new deck.DeckGL({ |
|
container: container, |
|
initialViewState: { |
|
latitude: -1.6694777, |
|
longitude: 0.8386347, |
|
zoom: 5.956817724549278 |
|
}, |
|
controller: true, |
|
|
|
layers: [pointLayer, boundaryLayer, labelLayer], |
|
|
|
|
|
getTooltip: ({index}) => hoverData.data.hover_text[index] |
|
}); |
|
|
|
document.getElementById("loading").style.display = "none"; |
|
|
|
|
|
function selectPoints(item, conditional) { |
|
var layerId; |
|
if (item) { |
|
for (var i = 0; i < DATA.length; i++) { |
|
if (conditional(i)) { |
|
DATA.src.selected[i] = 1; |
|
} else { |
|
DATA.src.selected[i] = 0; |
|
} |
|
} |
|
layerId = 'selectedPointLayer' + item; |
|
} else { |
|
for (var i = 0; i < DATA.length; i++) { |
|
DATA.src.selected[i] = 1; |
|
} |
|
layerId = 'dataPointLayer'; |
|
} |
|
const selectedPointLayer = pointLayer.clone( |
|
{ |
|
id: layerId, |
|
data: DATA, |
|
getFilterValue: (object, {index, data}) => data.src.selected[index], |
|
filterRange: [1, 2], |
|
extensions: [new deck.DataFilterExtension({filterSize: 1})] |
|
} |
|
); |
|
deckgl.setProps( |
|
{layers: |
|
[selectedPointLayer].concat(deckgl.props.layers.slice(1,)) |
|
} |
|
); |
|
} |
|
|
|
const search = document.getElementById("search"); |
|
search.addEventListener("input", (event) => { |
|
const search_term = event.target.value.toLowerCase(); |
|
selectPoints(search_term, (i) => hoverData.data.hover_text[i].toLowerCase().includes(search_term)); |
|
} |
|
); |
|
|
|
|
|
</script> |
|
</html> |
