File size: 23,406 Bytes
443fc75 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Human Essence · Inference</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<style>
*{margin:0;padding:0;box-sizing:border-box}
:root{--bg-primary:#08080d;--bg-secondary:#0e0e16;--bg-tertiary:#16161f;--bg-card:#111119;--text-primary:#e0e0e8;--text-secondary:#6b6b80;--text-muted:#44445a;--accent:#6366f1;--border:#1e1e2e;--border-subtle:#181828}
body{font-family:'Inter',-apple-system,BlinkMacSystemFont,sans-serif;background:var(--bg-primary);color:var(--text-primary);min-height:100vh}
.container{max-width:1200px;margin:0 auto;padding:16px;display:flex;flex-direction:column;gap:12px}
.header{display:flex;justify-content:space-between;align-items:center;padding:12px 18px;background:var(--bg-secondary);border-radius:12px;border:1px solid var(--border);flex-shrink:0;flex-wrap:wrap;gap:10px}
.header-left{display:flex;align-items:center;gap:10px}
.header-icon{width:32px;height:32px;border-radius:8px;background:linear-gradient(135deg,#6366f1,#8b5cf6);display:flex;align-items:center;justify-content:center;font-size:.9rem}
.header h1{font-size:1.2rem;font-weight:600;background:linear-gradient(135deg,#c7c8ff,#8b5cf6);-webkit-background-clip:text;-webkit-text-fill-color:transparent;letter-spacing:-.02em}
.header-controls{display:flex;gap:8px;align-items:center;flex-wrap:wrap}
.btn{padding:7px 14px;border:none;border-radius:7px;cursor:pointer;font-size:.8rem;font-weight:500;transition:all .2s ease;font-family:inherit;display:flex;align-items:center;gap:5px;white-space:nowrap}
.btn-primary{background:linear-gradient(135deg,#6366f1,#7c3aed);color:#fff}
.btn-primary:hover{background:linear-gradient(135deg,#5558e3,#6d28d9);transform:translateY(-1px)}
.btn-secondary{background:var(--bg-tertiary);color:var(--text-primary);border:1px solid var(--border)}
.btn-secondary:hover{background:#1e1e2e}
.btn-success{background:linear-gradient(135deg,#059669,#10b981);color:#fff}
.btn-success:hover{background:linear-gradient(135deg,#047857,#059669);transform:translateY(-1px)}
.btn-danger{background:rgba(127,29,29,.5);color:#fca5a5;border:1px solid rgba(153,27,27,.5)}
.btn-danger:hover{background:rgba(153,27,27,.6)}
.editor-section{flex:1;display:flex;flex-direction:column;min-height:160px;gap:8px}
.editor-wrapper{flex:1;position:relative;border-radius:14px;border:1px solid var(--border);background:var(--bg-card);overflow:hidden;transition:border-color .4s ease,box-shadow .4s ease}
.editor-wrapper:focus-within{border-color:rgba(99,102,241,.25)}
.editor-stats{position:absolute;bottom:0;left:0;right:0;padding:6px 20px;display:flex;justify-content:space-between;align-items:center;font-size:.72rem;color:var(--text-muted);background:linear-gradient(to top,var(--bg-card) 70%,transparent);z-index:3;pointer-events:none;user-select:none}
#editorOverlay{position:absolute;top:0;left:0;right:0;bottom:0;padding:22px 22px 36px;font-size:1.05rem;line-height:1.75;font-family:inherit;color:var(--text-primary);white-space:pre-wrap;word-break:break-word;overflow-wrap:break-word;overflow-y:auto;pointer-events:none;user-select:none;z-index:1;letter-spacing:.01em}
#editorOverlay .word{padding:1px 2px;margin:0 -2px;border-radius:3px;transition:background-color .2s ease}
#editorOverlay .word.has-emotion{border-bottom:1.5px solid currentColor}
.placeholder-text{color:var(--text-muted)!important;font-style:italic;font-weight:300}
#editor{width:100%;height:100%;background:transparent;color:transparent;caret-color:#9194f8;border:none;padding:22px 22px 36px;font-size:1.05rem;line-height:1.75;font-family:inherit;resize:none;outline:none;position:absolute;top:0;left:0;z-index:2;white-space:pre-wrap;word-break:break-word;overflow-wrap:break-word;letter-spacing:.01em}
#editor::selection{background:rgba(99,102,241,.3)}
#editor::-webkit-scrollbar,#editorOverlay::-webkit-scrollbar{width:5px}
#editor::-webkit-scrollbar-track,#editorOverlay::-webkit-scrollbar-track{background:transparent}
#editor::-webkit-scrollbar-thumb,#editorOverlay::-webkit-scrollbar-thumb{background:var(--border);border-radius:3px}
.loading-bar{display:none;align-items:center;gap:8px;padding:8px 12px;background:var(--bg-tertiary);border-radius:7px;font-size:.8rem;color:var(--text-secondary);border:1px solid var(--border-subtle)}
.loading-bar.active{display:flex}
.spinner{display:inline-block;width:14px;height:14px;border:2px solid var(--border);border-top-color:var(--accent);border-radius:50%;animation:spin .8s linear infinite}
@keyframes spin{to{transform:rotate(360deg)}}
.timeline-section{background:var(--bg-secondary);border-radius:12px;border:1px solid var(--border);padding:14px 18px;flex-shrink:0;display:none}
.timeline-section.active{display:block}
.timeline-header{display:flex;justify-content:space-between;align-items:center;margin-bottom:10px;flex-wrap:wrap;gap:10px}
.timeline-title{font-size:.9rem;font-weight:600;display:flex;align-items:center;gap:7px;user-select:none}
.timeline-title-icon{font-size:.85rem;opacity:.6}
.timeline-canvas-container{position:relative;background:var(--bg-tertiary);border-radius:8px;overflow:hidden;border:1px solid var(--border-subtle)}
#timelineCanvas{display:block;width:100%}
.legend-bar{display:flex;flex-wrap:wrap;gap:10px;margin-top:12px;padding-top:12px;border-top:1px solid var(--border-subtle)}
.legend-item{display:flex;align-items:center;gap:6px;font-size:.78rem;color:var(--text-secondary);font-weight:500}
.legend-color{width:12px;height:12px;border-radius:4px}
.tooltip{display:none;position:fixed;background:rgba(14,14,22,.95);color:#e8e8f0;padding:6px 11px;border-radius:7px;font-size:.73rem;pointer-events:none;z-index:100;border:1px solid #2a2a3a;box-shadow:0 6px 20px rgba(0,0,0,.5);font-family:'Inter',sans-serif;max-width:260px;line-height:1.4}
.model-badge{font-size:.7rem;padding:3px 8px;border-radius:12px;background:rgba(99,102,241,.1);color:#a5a8ff;border:1px solid rgba(99,102,241,.15)}
.stats-grid{display:none;grid-template-columns:repeat(auto-fit,minmax(130px,1fr));gap:8px}
.stats-grid.active{display:grid}
.stat-card{background:var(--bg-card);border:1px solid var(--border);border-radius:8px;padding:10px 12px;text-align:center}
.stat-value{font-size:1.3rem;font-weight:700;color:#c7c8ff}
.stat-label{font-size:.68rem;color:var(--text-secondary);margin-top:2px;text-transform:uppercase;letter-spacing:.04em}
</style>
</head>
<body>
<div class="container">
<div class="header">
<div class="header-left">
<div class="header-icon">✦</div>
<h1>Human Essence · Inference</h1>
</div>
<div class="header-controls">
<span class="model-badge" id="modelStatus">Loading…</span>
<button class="btn btn-success" onclick="trainModel()" id="trainBtn">■ Train Model</button>
<button class="btn btn-secondary" onclick="clearAll()">✕ Clear</button>
</div>
</div>
<div class="stats-grid" id="statsGrid"></div>
<div class="editor-section">
<div class="editor-wrapper" id="editorWrapper">
<div id="editorOverlay"><span class="placeholder-text">Type or paste text here…</span></div>
<textarea id="editor"></textarea>
</div>
<div class="loading-bar" id="loadingBar">
<div class="spinner"></div>
<span>Running inference…</span>
</div>
</div>
<div class="timeline-section" id="timelineSection">
<div class="timeline-header">
<div class="timeline-title">
<span class="timeline-title-icon">◆</span>
Emotional Flow
</div>
</div>
<div class="timeline-canvas-container">
<canvas id="timelineCanvas"></canvas>
</div>
<div class="legend-bar" id="legendBar"></div>
</div>
</div>
<div class="tooltip" id="tooltip"></div>
<script>
var modelData = null;
var loaded = false;
var palette = [
'#6366f1','#8b5cf6','#ec4899','#f43f5e','#f97316',
'#eab308','#22c55e','#06b6d4','#3b82f6','#a855f7',
'#14b8a6','#f472b6','#fb923c','#a3e635','#818cf8',
'#c084fc','#f9a8d4','#fdba74','#bef264','#67e8f9',
'#7dd3fc','#c4b5fd','#f0abfc','#d4d4d8'
];
var labelColor = {};
function colorFor(label) {
if (!labelColor[label]) {
labelColor[label] = palette[Object.keys(labelColor).length % palette.length];
}
return labelColor[label];
}
function hexToRgb(hex) {
var m = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(hex);
if (m) return {r:parseInt(m[1],16),g:parseInt(m[2],16),b:parseInt(m[3],16)};
return {r:0,g:0,b:0};
}
function tokenize(text) {
return text.match(/\S+/g) || [];
}
function tokenFeatures(tokens, i) {
var token = tokens[i];
var lower = token.toLowerCase();
var clean = lower.replace(/[^a-z0-9']+/g, '');
var prev = i > 0 ? tokens[i-1].toLowerCase() : '<START>';
var next = i + 1 < tokens.length ? tokens[i+1].toLowerCase() : '<END>';
var n = Math.max(tokens.length - 1, 1);
return {
'word': lower,
'clean_word': clean || '<PUNCT>',
'prev_word': prev,
'next_word': next,
'prefix2': clean.slice(0,2),
'prefix3': clean.slice(0,3),
'suffix2': clean.slice(-2),
'suffix3': clean.slice(-3),
'word_len': token.length,
'position_norm': i / n,
'position_sin': Math.sin((i / n) * Math.PI),
'is_first': i === 0 ? 1 : 0,
'is_last': i === tokens.length - 1 ? 1 : 0,
'is_title': /^[A-Z]/.test(token) && /[a-z]/.test(token) ? 1 : 0,
'is_upper': token === token.toUpperCase() && /[A-Z]/.test(token) ? 1 : 0,
'has_digit': /\d/.test(token) ? 1 : 0,
'has_punct': /[^a-zA-Z0-9]/.test(token) ? 1 : 0,
'ends_period': token.endsWith('.') ? 1 : 0,
'ends_question': token.endsWith('?') ? 1 : 0,
'ends_exclaim': token.endsWith('!') ? 1 : 0,
'contains_ai': /ai/.test(clean) ? 1 : 0
};
}
function predict(text) {
if (!loaded) return null;
var tokens = tokenize(text);
if (tokens.length === 0) return {tokens:[], predictions:[], labels:[]};
var vocab = modelData.vocab;
var nFeatures = modelData.n_features;
var nLabels = modelData.labels.length;
var coefs = modelData.coefs;
var intercepts = modelData.intercepts;
var X = [];
for (var i = 0; i < tokens.length; i++) {
var feats = tokenFeatures(tokens, i);
var vec = new Float64Array(nFeatures);
var keys = Object.keys(feats);
for (var ki = 0; ki < keys.length; ki++) {
var key = keys[ki];
var val = feats[key];
var vocabKey = (typeof val === 'string') ? (key + '=' + val) : key;
var col = vocab[vocabKey];
if (col !== undefined) vec[col] = typeof val === 'number' ? val : 1.0;
}
X.push(vec);
}
var predictions = new Array(tokens.length);
for (i = 0; i < tokens.length; i++) {
var preds = new Float64Array(nLabels);
for (var j = 0; j < nLabels; j++) {
var val = intercepts[j];
var row = X[i];
var c = coefs[j];
for (var k = 0; k < nFeatures; k++) {
if (row[k] !== 0) val += row[k] * c[k];
}
preds[j] = Math.max(0, Math.min(1, val));
}
predictions[i] = preds;
}
return {tokens:tokens, predictions:predictions, labels:modelData.labels};
}
function toFlow(result, threshold) {
if (threshold === undefined) threshold = 0.15;
var flow = [];
var nTokens = result.tokens.length;
for (var j = 0; j < result.labels.length; j++) {
var label = result.labels[j];
var values = [];
for (var i = 0; i < nTokens; i++) values.push(result.predictions[i][j]);
var active = values.map(function(v) { return v >= threshold; });
if (!active.some(function(a) { return a; })) continue;
var curves = [];
i = 0;
while (i < nTokens) {
if (!active[i]) { i++; continue; }
var start = i;
while (i + 1 < nTokens && active[i + 1]) i++;
var end = i;
var segment = values.slice(start, end + 1);
var peak = Math.max.apply(null, segment);
curves.push({start_word:start,end_word:end,start_intensity:Math.round(values[start]*10000)/10000,peak_intensity:Math.round(peak*10000)/10000,end_intensity:Math.round(values[end]*10000)/10000});
i++;
}
if (curves.length) flow.push({label:label,curves:curves});
}
return flow;
}
function updateOverlay(result, flow) {
var overlay = document.getElementById('editorOverlay');
var editor = document.getElementById('editor');
var text = editor.value;
var tokens = result.tokens;
var nTokens = tokens.length;
var emotionData = {};
if (flow.length > 0) {
for (var i = 0; i < nTokens; i++) {
var active = [];
for (var fi = 0; fi < flow.length; fi++) {
var emo = flow[fi];
var lbl = emo.label;
var col = colorFor(lbl);
for (var ci = 0; ci < emo.curves.length; ci++) {
var curve = emo.curves[ci];
if (i >= curve.start_word && i <= curve.end_word) {
var intensity = curve.peak_intensity;
if (curve.start_word === curve.end_word) {active.push({label:lbl,color:col,intensity:intensity});}
else if (i === curve.start_word) {active.push({label:lbl,color:col,intensity:curve.start_intensity});}
else if (i === curve.end_word) {active.push({label:lbl,color:col,intensity:curve.end_intensity});}
else {active.push({label:lbl,color:col,intensity:intensity});}
}
}
}
if (active.length > 0) emotionData[i] = active;
}
}
var words = tokens;
var html = '';
var lastIdx = 0;
for (i = 0; i < words.length; i++) {
var w = words[i];
var idx = text.indexOf(w, lastIdx);
if (idx > lastIdx) {
var gap = text.slice(lastIdx, idx).replace(/ /g,' ').replace(/\n/g,'<br>').replace(/\t/g,' ');
html += gap;
}
var emos = emotionData[i];
var style = '';
var cls = 'word';
if (emos && emos.length) {
var r=0,g=0,b=0,total=0;
for (var ei = 0; ei < emos.length; ei++) {
var rgb = hexToRgb(emos[ei].color);
r += rgb.r * emos[ei].intensity;
g += rgb.g * emos[ei].intensity;
b += rgb.b * emos[ei].intensity;
total += emos[ei].intensity;
}
if (total > 0) {
r = Math.round(r/total); g = Math.round(g/total); b = Math.round(b/total);
var maxI = 0;
for (ei = 0; ei < emos.length; ei++) {if (emos[ei].intensity > maxI) maxI = emos[ei].intensity;}
var bgA = Math.max(0.06, maxI * 0.25);
style += 'background:rgba('+r+','+g+','+b+','+bgA+');';
var blend = Math.min(0.45, maxI * 0.4);
style += 'color:rgb('+Math.round(224*(1-blend)+r*blend)+','+Math.round(224*(1-blend)+g*blend)+','+Math.round(232*(1-blend)+b*blend)+');';
style += 'border-bottom-color:rgba('+r+','+g+','+b+','+Math.min(0.5,maxI*0.4)+');';
cls += ' has-emotion';
}
}
var escaped = w.replace(/&/g,'&').replace(/</g,'<').replace(/>/g,'>');
html += '<span class="'+cls+'" style="'+style+'">'+escaped+'</span>';
lastIdx = idx + w.length;
}
var trailing = text.slice(lastIdx).replace(/ /g,' ').replace(/\n/g,'<br>').replace(/\t/g,' ');
html += trailing;
overlay.innerHTML = html;
}
var canvas = document.getElementById('timelineCanvas');
var ctx = canvas.getContext('2d');
var tooltip = document.getElementById('tooltip');
function resizeCanvas() {
var c = canvas.parentElement;
canvas.width = c.clientWidth;
canvas.height = 175;
}
function wordToX(wi, total) {
var pad = 35, w = canvas.width - pad*2;
return pad + (wi/total)*w;
}
function intensityToY(i) {
var pad = 22, h = canvas.height - pad*2;
return pad + h - i*h;
}
function drawTimeline(result, flow) {
resizeCanvas();
ctx.clearRect(0, 0, canvas.width, canvas.height);
var total = result.tokens.length || 1;
for (var i = 0; i <= 1; i += 0.25) {
var y = intensityToY(i);
ctx.strokeStyle = i === 0 ? '#1e1e2e' : '#141420';
ctx.lineWidth = 1;
ctx.beginPath(); ctx.moveTo(35, y); ctx.lineTo(canvas.width-10, y); ctx.stroke();
ctx.fillStyle = '#2e2e42';
ctx.font = '9px Inter, sans-serif';
ctx.textAlign = 'right';
ctx.fillText((i*100).toFixed(0)+'%', 31, y+3);
}
var step = Math.max(1, Math.floor(total/20));
for (i = 0; i <= total; i += step) {
var x = wordToX(i, total);
ctx.strokeStyle = '#111120';
ctx.beginPath(); ctx.moveTo(x,22); ctx.lineTo(x,canvas.height-22); ctx.stroke();
}
for (var fi = 0; fi < flow.length; fi++) {
var emo = flow[fi];
var color = colorFor(emo.label);
var rgb = hexToRgb(color);
var sorted = emo.curves.slice().sort(function(a,b) { return a.start_word - b.start_word; });
if (!sorted.length) continue;
ctx.beginPath();
var fX = wordToX(sorted[0].start_word, total);
var fY = intensityToY(sorted[0].peak_intensity);
ctx.moveTo(fX, canvas.height-22);
ctx.lineTo(fX, fY);
for (var si = 1; si < sorted.length; si++) {
var sx = wordToX(sorted[si].start_word, total);
var sy = intensityToY(sorted[si].peak_intensity);
var ppx = wordToX(sorted[si-1].start_word, total);
var ppy = intensityToY(sorted[si-1].peak_intensity);
ctx.bezierCurveTo((ppx+sx)/2, ppy, (ppx+sx)/2, sy, sx, sy);
}
var lX = wordToX(sorted[sorted.length-1].start_word, total);
ctx.lineTo(lX, canvas.height-22);
ctx.closePath();
var grad = ctx.createLinearGradient(0,22,0,canvas.height-22);
grad.addColorStop(0, 'rgba('+rgb.r+','+rgb.g+','+rgb.b+',0.1)');
grad.addColorStop(1, 'rgba('+rgb.r+','+rgb.g+','+rgb.b+',0)');
ctx.fillStyle = grad; ctx.fill();
ctx.beginPath();
for (si = 0; si < sorted.length; si++) {
sx = wordToX(sorted[si].start_word, total);
sy = intensityToY(sorted[si].peak_intensity);
if (si === 0) ctx.moveTo(sx, sy);
else { ppx = wordToX(sorted[si-1].start_word, total); ppy = intensityToY(sorted[si-1].peak_intensity); ctx.bezierCurveTo((ppx+sx)/2, ppy, (ppx+sx)/2, sy, sx, sy); }
}
ctx.strokeStyle = color; ctx.lineWidth = 2; ctx.stroke();
for (si = 0; si < sorted.length; si++) {
sx = wordToX(sorted[si].start_word, total);
sy = intensityToY(sorted[si].peak_intensity);
ctx.beginPath(); ctx.arc(sx, sy, 4, 0, Math.PI*2);
ctx.fillStyle = color; ctx.fill();
ctx.beginPath(); ctx.arc(sx, sy, 2, 0, Math.PI*2);
ctx.fillStyle = '#fff'; ctx.fill();
}
}
}
function updateLegend(flow) {
var bar = document.getElementById('legendBar');
var html = '';
for (var i = 0; i < flow.length; i++) {
var emo = flow[i];
html += '<div class="legend-item"><span class="legend-color" style="background:'+colorFor(emo.label)+'"></span>'+emo.label+'</div>';
}
bar.innerHTML = html;
}
function runInference() {
var text = document.getElementById('editor').value.trim();
if (!text) { document.getElementById('timelineSection').classList.remove('active'); return; }
if (!loaded) return;
var loadingBar = document.getElementById('loadingBar');
loadingBar.classList.add('active');
setTimeout(function() {
try {
var result = predict(text);
if (!result) return;
var flow = toFlow(result, 0.15);
updateOverlay(result, flow);
drawTimeline(result, flow);
updateLegend(flow);
document.getElementById('timelineSection').classList.add('active');
} finally { loadingBar.classList.remove('active'); }
}, 10);
}
function clearAll() {
document.getElementById('editor').value = '';
document.getElementById('editorOverlay').innerHTML = '<span class="placeholder-text">Type or paste text here…</span>';
document.getElementById('timelineSection').classList.remove('active');
}
function debounce(fn, ms) {
var timer = null;
return function() {
var args = arguments, self = this;
if (timer) clearTimeout(timer);
timer = setTimeout(function() { fn.apply(self, args); }, ms);
};
}
function showStats(info) {
var grid = document.getElementById('statsGrid');
grid.className = 'stats-grid active';
var items = [
{label:'Rows', value:info.total_rows},
{label:'Usable', value:info.usable_rows},
{label:'Words', value:info.word_examples},
{label:'Curves', value:info.curve_points},
{label:'Emotions', value:info.labels ? info.labels.length : 0},
{label:'MAE', value:info.train_mae ? info.train_mae.toFixed(4) : '-'},
{label:'RMSE', value:info.train_rmse ? info.train_rmse.toFixed(4) : '-'}
];
grid.innerHTML = items.map(function(item) {
return '<div class="stat-card"><div class="stat-value">'+item.value+'</div><div class="stat-label">'+item.label+'</div></div>';
}).join('');
}
function loadModel() {
document.getElementById('modelStatus').textContent = 'Loading…';
fetch('/api/model_data')
.then(function(res) {
if (!res.ok) throw new Error('No model yet');
return res.json();
})
.then(function(data) {
modelData = data;
loaded = true;
document.getElementById('modelStatus').textContent = '\u2713 '+modelData.labels.length+' emotions';
var ta = document.getElementById('editor');
ta.addEventListener('input', debounce(runInference, 400));
ta.focus();
if (ta.value.trim()) runInference();
})
.catch(function() {
document.getElementById('modelStatus').textContent = 'Need training';
document.getElementById('modelStatus').style.color = '#fbbf24';
var ta = document.getElementById('editor');
ta.addEventListener('input', debounce(runInference, 400));
});
fetch('/api/stats')
.then(function(res) { return res.json(); })
.then(function(stats) {
if (stats.trained) showStats(stats);
})
.catch(function() {});
}
function trainModel() {
var btn = document.getElementById('trainBtn');
btn.disabled = true;
btn.textContent = '\u25A0 Training…';
document.getElementById('modelStatus').textContent = 'Training…';
fetch('/api/train', {method:'POST'})
.then(function(res) {
if (!res.ok) throw new Error('Training failed');
return res.json();
})
.then(function(data) {
showStats(data.training_info);
document.getElementById('modelStatus').textContent = '\u2713 '+data.training_info.labels.length+' emotions';
document.getElementById('modelStatus').style.color = '';
// Reload model data
return fetch('/api/model_data');
})
.then(function(res) { return res.json(); })
.then(function(data) {
modelData = data;
loaded = true;
btn.textContent = '\u25A0 Train Model';
btn.disabled = false;
var ta = document.getElementById('editor');
if (ta.value.trim()) runInference();
})
.catch(function(e) {
document.getElementById('modelStatus').textContent = '\u2715 Train error';
document.getElementById('modelStatus').style.color = '#fca5a5';
btn.textContent = '\u25A0 Train Model';
btn.disabled = false;
console.error(e);
});
}
document.getElementById('editor').addEventListener('scroll', function() {
var overlay = document.getElementById('editorOverlay');
overlay.scrollTop = this.scrollTop;
overlay.scrollLeft = this.scrollLeft;
});
window.addEventListener('resize', function() {
if (loaded && document.getElementById('timelineSection').classList.contains('active')) {
var text = document.getElementById('editor').value.trim();
if (text) { var result = predict(text); if (result) drawTimeline(result, toFlow(result, 0.15)); }
}
});
loadModel();
</script>
</body>
</html>
|