File size: 20,157 Bytes
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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
<title>fka/awesome-chatgpt-prompts</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" />
<script src="https://unpkg.com/deck.gl@latest/dist.min.js"></script>
<script src="https://unpkg.com/fflate@0.8.0"></script>
<style>
body {
margin: 0;
padding: 0;
overflow: hidden;
background: #ffffff;
}
#deck-container {
width: 100vw;
height: 100vh;
}
#deck-container canvas {
z-index: 1;
background: #ffffff;
}
.deck-tooltip {
font-size: 0.8em;
font-family: Roboto;
font-weight: 300;
color: #000000 !important;
background-color: #ffffffaa !important;
border-radius: 12px;
box-shadow: 2px 3px 10px #aaaaaa44;
max-width: 25%;
}
#loading {
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height: 100%;
top: 0px;
left: 0px;
position: absolute;
display: block;
z-index: 99
}
#loading-image {
position: absolute;
top: 45%;
left: 47.5%;
z-index: 100
}
#title-container {
position: absolute;
top: 0;
left: 0;
margin: 16px;
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z-index: 2;
font-family: Roboto;
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background: #ffffffaa;
box-shadow: 2px 3px 10px #aaaaaa44;
}
#search-container{
position: absolute;
left: -16px;
margin: 16px;
padding: 12px;
border-radius: 16px;
z-index: 2;
font-family: Roboto;
color: #000000;
background: #ffffffaa;
width: fit-content;
box-shadow: 2px 3px 10px #aaaaaa44;
}
input {
margin: 2px;
padding: 4px;
border-radius: 8px;
color: #000000;
background: #ffffffdd;
border: 1px solid #ddddddff;
transition: 0.5s;
outline: none;
}
input:focus {
border: 2px solid #555;
}
</style>
</head>
<body>
<div id="loading">
<img id="loading-image" src="https://i.gifer.com/ZKZg.gif" alt="Loading..." width="5%"/>
</div>
<div id="title-container">
<span style="font-family:Roboto;font-size:36pt;color:#000000">
fka/awesome-chatgpt-prompts
</span><br/>
<span style="font-family:Roboto;font-size:18pt;color:#777777">
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 'act'
</span>
<div id="search-container">
<input autocomplete="off" type="search" id="search" placeholder="🔍">
</div>
</div>
<div id="deck-container">
</div>
</body>
<script type="module">
import { ArrowLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/arrow@4.1.0-alpha.10/+esm'
import { JSONLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/json@4.0.5/+esm'
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const pointDataBuffer = fflate.strToU8(atob(pointDataBase64), true);
const pointData = await loaders.parse(pointDataBuffer, ArrowLoader);
const hoverDataBase64 = "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";
const hoverDataBuffer = fflate.strToU8(atob(hoverDataBase64), true);
const unzippedHoverData = fflate.gunzipSync(hoverDataBuffer);
const hoverData = await loaders.parse(unzippedHoverData, ArrowLoader);
const labelDataBase64 = "H4sIAECTH2cC/2WSvU7DMBRGXyXyHKxrX/9mQ0ViRaIbYXCpaSMlTuS4VQvi3XHSlkKZbA/2Off7/PJJDqS6ExRQWAVaKFOSI6kUFVoaa5VVoiStW/mWVGQRvUvN3tfhOfXxmHzbNmFDSjI2H55UzFAoScwbqUqyIZXNd1f5yPLq8qPiq7zwjDQMNNiZpqnW0mrFDLvCnmL/7sex6YNr6/Dg977th86HVIdF7962N2TMrkZJIfisYNlsgHA2MDcGSIEJhkwbIWYHpALQclAS5B+JTXRdl2F1GGLfDanY+OCjywH84DlQiaCEySGyGW9gxutLADd0TkEo4NxYfg4AkEsJZha9wJf+bVs0Yb0bUzzWIfatHwsX1nXwh8HH1Iz+qoDU5mmUEXwKNZ5GzwoM2Oxg9L8EUDGU2nKN586BIxrg2v5KYBldTr543DXr3Pt9LmRMLqQr+FL69HMmHuJp5ol/Ar5+AzltpcZmAgAA";
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,
// CollideExtension options
collisionEnabled: true,
getCollisionPriority: d => d.size,
collisionTestProps: {
sizeScale: 3,
sizeMaxPixels: 36 * 2,
sizeMinPixels: 18 * 2
},
extensions: [new deck.CollisionFilterExtension()],
});
const deckgl = new deck.DeckGL({
container: container,
initialViewState: {
latitude: 6.1120977,
longitude: -3.2715843,
zoom: 6.308578350388512
},
controller: true,
layers: [pointLayer, 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> |