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Update PulmoScanAI.html
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PulmoScanAI.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>PulmoScanAI • AI Lung Cancer Detection</title>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Playfair+Display:wght@700&display=swap" rel="stylesheet">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
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<style>
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:root {
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--green: #00ffaa;
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--bg: #040d1a;
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--card: rgba(15, 25, 45, 0.75);
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--border: rgba(0, 255, 170, 0.35);
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--text: #e0fff8;
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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font-family: 'Inter', sans-serif;
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background: var(--bg);
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color: var(--text);
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min-height: 100vh;
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overflow-y: auto;
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position: relative;
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}
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/* ULTRA-ELEGANT DIGITAL LAB BACKGROUND – NO SCAN LINES */
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.lab-bg {
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position: fixed;
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top: 0; left: 0; width: 100%; height: 100%;
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pointer-events: none;
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z-index: 0;
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overflow: hidden;
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}
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/* Molecular network – visible & beautiful */
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.network {
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position: absolute;
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width: 100%; height: 100%;
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background-image:
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radial-gradient(circle at 20% 80%, rgba(0,255,170,0.15) 1px, transparent 1px),
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radial-gradient(circle at 80% 20%, rgba(0,255,170,0.15) 1px, transparent 1px),
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radial-gradient(circle at 50% 50%, rgba(0,255,170,0.1) 1px, transparent 1px);
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background-size: 120px 120px, 160px 160px, 200px 200px;
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background-position: 0 0, 40px 70px, 80px 40px;
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animation: networkFlow 40s linear infinite;
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opacity: 0.6;
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}
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@keyframes networkFlow {
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0% { background-position: 0 0, 40px 70px, 80px 40px; }
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100% { background-position: 120px 120px, -120px -50px, -80px 100px; }
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}
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/* Energy pulse waves */
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.pulse-wave {
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position: absolute;
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width: 600px; height: 600px;
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border: 2px solid rgba(0,255,170,0.3);
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border-radius: 50%;
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top: 50%; left: 50%;
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transform: translate(-50%, -50%);
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animation: pulse 12s infinite ease-out;
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opacity: 0;
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}
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.pulse-wave:nth-child(2) { animation-delay: 4s; width: 800px; height: 800px; }
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.pulse-wave:nth-child(3) { animation-delay: 8s; width: 1000px; height: 1000px; }
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@keyframes pulse {
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0% { transform: translate(-50%, -50%) scale(0.1); opacity: 0.6; }
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80% { opacity: 0.2; }
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100% { transform: translate(-50%, -50%) scale(1.8); opacity: 0; }
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}
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/* Floating luminous cells / particles – clearly visible */
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.cell {
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position: absolute;
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width: 10px; height: 10px;
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background: #00ffaa;
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border-radius: 50%;
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box-shadow: 0 0 30px #00ffaa, 0 0 60px #00ffaa;
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opacity: 0;
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animation: floatCell 22s infinite linear;
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}
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@keyframes floatCell {
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0% { opacity: 0; transform: translateY(110vh) scale(0.2) rotate(0deg); }
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10% { opacity: 1; }
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90% { opacity: 1; }
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100% { opacity: 0; transform: translateY(-150px) scale(1) rotate(360deg); }
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}
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/* Soft central glow */
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.core-glow {
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position: absolute;
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top: 50%; left: 50%;
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width: 900px; height: 900px;
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background: radial-gradient(circle, rgba(0,255,170,0.12) 0%, transparent 65%);
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border-radius: 50%;
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transform: translate(-50%, -50%);
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animation: breathe 15s infinite ease-in-out;
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}
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@keyframes breathe {
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0%,100% { transform: translate(-50%, -50%) scale(1); opacity: 0.4; }
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50% { transform: translate(-50%, -50%) scale(1.15); opacity: 0.6; }
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}
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header { text-align: center; margin: 110px 0 60px; z-index: 10; position: relative; }
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.main-title {
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font-family: 'Playfair Display', serif;
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font-size: clamp(3.5rem, 7vw, 5.5rem);
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font-weight: 700;
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background: linear-gradient(90deg, #ffffff, #00ffaa);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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text-shadow: 0 0 40px rgba(0,255,170,0.5);
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}
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.container {
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max-width: 1100px;
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margin: 0 auto;
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 40px;
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z-index: 2;
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position: relative;
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}
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.upload-panel, .result-panel {
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background: var(--card);
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backdrop-filter: blur(28px);
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border: 1px solid var(--border);
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border-radius: 24px;
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padding: 36px;
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box-shadow: 0 20px 60px rgba(0,0,0,0.7);
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display: flex;
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flex-direction: column;
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align-items: stretch;
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}
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.upload-panel {
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max-height: fit-content;
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}
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.panel-title, .result-title { font-size: 1.4rem; color: white; margin-bottom: 8px; font-weight: 600; }
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.result-title { text-align: center; margin-bottom: 24px; }
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.panel-subtitle { font-size: 0.9rem; color: #bbbbbb; margin-bottom: 28px; }
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.upload-box {
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background: rgba(0,255,170,0.12);
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border: 2px solid rgba(0,255,170,0.4);
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border-radius: 20px;
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padding: 20px;
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text-align: center;
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cursor: pointer;
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transition: all 0.4s ease;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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gap: 12px;
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min-height: 180px;
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margin-bottom: 20px;
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}
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.upload-box:hover { background: rgba(0,255,170,0.22); border-color: var(--green); transform: translateY(-5px); }
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.upload-box.dragover { background: rgba(0,255,170,0.3); }
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.upload-icon { font-size: 2.2rem; color: var(--green); }
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.upload-text { font-size: 1rem; color: white; font-weight: 600; }
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.upload-info { font-size: 0.8rem; color: #aaa; margin-top: 4px; }
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#file-input { display: none; }
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.scanner-container {
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margin: 24px auto;
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width: 85%;
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height: 5px;
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background: rgba(255,255,255,0.1);
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border-radius: 10px;
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overflow: hidden;
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display: none;
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}
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.scanner-bar {
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height: 100%;
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background: linear-gradient(90deg, transparent, var(--green), transparent);
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animation: scan 1.8s linear infinite;
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box-shadow: 0 0 20px var(--green);
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}
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@keyframes scan { 0% { transform: translateX(-100%); } 100% { transform: translateX(100%); } }
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.analyze-btn {
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width: 100%;
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padding: 18px;
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font-size: 1.2rem;
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font-weight: 700;
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background: var(--green);
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color: #000;
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border: none;
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border-radius: 50px;
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cursor: pointer;
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box-shadow: 0 12px 40px rgba(0,255,170,0.6);
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transition: all 0.4s;
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}
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.analyze-btn:hover:not(:disabled) {
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transform: translateY(-5px);
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box-shadow: 0 25px 60px rgba(0,255,170,0.8);
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}
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.result-panel { align-items: center; }
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.preview {
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display: flex;
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justify-content: center;
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align-items: center;
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padding-top: 6px;
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}
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.preview img {
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width: 240px;
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height: 240px;
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object-fit: cover;
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border-radius: 16px;
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border: 2px solid var(--border);
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box-shadow: 0 15px 40px rgba(0,0,0,0.5);
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display: block;
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}
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.result-box {
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padding: 18px 16px;
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background: rgba(0,0,0,0.4);
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border-radius: 16px;
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font-size: 1.2rem;
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font-weight: 700;
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text-align: center;
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min-height: 65px;
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display: flex;
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align-items: center;
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justify-content: center;
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margin: 24px auto 0;
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max-width: 260px;
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}
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.cancer { border: 3px solid #ff3366; color: #ff6b9d; }
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.normal { border: 3px solid var(--green); color: var(--green); }
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footer { text-align: center; margin: 90px 0 40px; color: #666; font-size: 0.9rem; z-index: 2; position: relative; }
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@media (max-width: 992px) { .container { grid-template-columns: 1fr; } }
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@media (max-width: 600px) { .upload-box { flex-direction: column; } }
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</style>
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</head>
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<body>
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<!-- ELEGANT DIGITAL LAB BACKGROUND -->
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<div class="lab-bg">
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<div class="network"></div>
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<div class="core-glow"></div>
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<div class="pulse-wave"></div>
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<div class="pulse-wave"></div>
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<div class="pulse-wave"></div>
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</div>
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<header>
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<h1 class="main-title">PulmoScanAI</h1>
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</header>
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<div class="container">
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<div class="upload-panel">
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<h2 class="panel-title">Upload Image</h2>
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<p class="panel-subtitle">Trained on 100,000+ histopathology samples</p>
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<label for="file-input" class="upload-box" id="upload-box">
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<i class="fas fa-microscope upload-icon"></i>
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<div>
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<div class="upload-text">Drop image or click to browse</div>
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<div class="upload-info">JPG, PNG, TIFF • Max 20MB</div>
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</div>
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</label>
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<input type="file" id="file-input" accept="image/*">
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<div class="scanner-container" id="scanner"><div class="scanner-bar"></div></div>
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<button class="analyze-btn" id="analyze-btn">
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<span id="btn-text">Analyze with AI</span>
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</button>
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</div>
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<div class="result-panel">
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<h2 class="result-title">Detection Result</h2>
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<div class="preview" id="preview"></div>
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<div class="result-box" id="result">Upload an image and click Analyze</div>
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</div>
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</div>
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<footer>© 2025 PulmoScanAI • Next-Gen AI Pathology Platform</footer>
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<script>
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// Create 20 beautiful floating cells
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for(let i = 0; i < 20; i++) {
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let cell = document.createElement('div');
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cell.className = 'cell';
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cell.style.left = Math.random() * 100 + '%';
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cell.style.animationDelay = Math.random() * 20 + 's';
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cell.style.animationDuration = 18 + Math.random() * 18 + 's';
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document.querySelector('.lab-bg').appendChild(cell);
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}
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// Functional script (unchanged)
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const input = document.getElementById('file-input');
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const uploadBox = document.getElementById('upload-box');
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const preview = document.getElementById('preview');
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const result = document.getElementById('result');
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const scanner = document.getElementById('scanner');
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const analyzeBtn = document.getElementById('analyze-btn');
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const btnText = document.getElementById('btn-text');
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['dragenter','dragover'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.add('dragover'); }));
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['dragleave','drop'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.remove('dragover'); }));
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uploadBox.addEventListener('drop', e => e.dataTransfer.files[0] && (input.files = e.dataTransfer.files) && handleFile(e.dataTransfer.files[0]));
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input.addEventListener('change', e => e.target.files[0] && handleFile(e.target.files[0]));
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function handleFile(file) {
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const reader = new FileReader();
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reader.onload = e => preview.innerHTML = `<img src="${e.target.result}" alt="Sample">`;
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reader.readAsDataURL(file);
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}
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analyzeBtn.addEventListener('click', () => {
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if (!input.files.length) return alert("Please upload an image first");
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const formData = new FormData();
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formData.append('image', input.files[0]);
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btnText.innerHTML = `<i class="fas fa-spinner fa-spin"></i> Analyzing...`;
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analyzeBtn.disabled = true;
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scanner.style.display = 'block';
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result.innerHTML = "AI is analyzing tissue...";
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result.className = "result-box";
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// Send image to backend for real model prediction
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.then(
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result.
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const
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result.
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</
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>PulmoScanAI • AI Lung Cancer Detection</title>
|
| 7 |
+
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Playfair+Display:wght@700&display=swap" rel="stylesheet">
|
| 8 |
+
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
|
| 9 |
+
<style>
|
| 10 |
+
:root {
|
| 11 |
+
--green: #00ffaa;
|
| 12 |
+
--bg: #040d1a;
|
| 13 |
+
--card: rgba(15, 25, 45, 0.75);
|
| 14 |
+
--border: rgba(0, 255, 170, 0.35);
|
| 15 |
+
--text: #e0fff8;
|
| 16 |
+
}
|
| 17 |
+
|
| 18 |
+
* { margin: 0; padding: 0; box-sizing: border-box; }
|
| 19 |
+
body {
|
| 20 |
+
font-family: 'Inter', sans-serif;
|
| 21 |
+
background: var(--bg);
|
| 22 |
+
color: var(--text);
|
| 23 |
+
min-height: 100vh;
|
| 24 |
+
overflow-y: auto;
|
| 25 |
+
position: relative;
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
/* ULTRA-ELEGANT DIGITAL LAB BACKGROUND – NO SCAN LINES */
|
| 29 |
+
.lab-bg {
|
| 30 |
+
position: fixed;
|
| 31 |
+
top: 0; left: 0; width: 100%; height: 100%;
|
| 32 |
+
pointer-events: none;
|
| 33 |
+
z-index: 0;
|
| 34 |
+
overflow: hidden;
|
| 35 |
+
}
|
| 36 |
+
|
| 37 |
+
/* Molecular network – visible & beautiful */
|
| 38 |
+
.network {
|
| 39 |
+
position: absolute;
|
| 40 |
+
width: 100%; height: 100%;
|
| 41 |
+
background-image:
|
| 42 |
+
radial-gradient(circle at 20% 80%, rgba(0,255,170,0.15) 1px, transparent 1px),
|
| 43 |
+
radial-gradient(circle at 80% 20%, rgba(0,255,170,0.15) 1px, transparent 1px),
|
| 44 |
+
radial-gradient(circle at 50% 50%, rgba(0,255,170,0.1) 1px, transparent 1px);
|
| 45 |
+
background-size: 120px 120px, 160px 160px, 200px 200px;
|
| 46 |
+
background-position: 0 0, 40px 70px, 80px 40px;
|
| 47 |
+
animation: networkFlow 40s linear infinite;
|
| 48 |
+
opacity: 0.6;
|
| 49 |
+
}
|
| 50 |
+
@keyframes networkFlow {
|
| 51 |
+
0% { background-position: 0 0, 40px 70px, 80px 40px; }
|
| 52 |
+
100% { background-position: 120px 120px, -120px -50px, -80px 100px; }
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
/* Energy pulse waves */
|
| 56 |
+
.pulse-wave {
|
| 57 |
+
position: absolute;
|
| 58 |
+
width: 600px; height: 600px;
|
| 59 |
+
border: 2px solid rgba(0,255,170,0.3);
|
| 60 |
+
border-radius: 50%;
|
| 61 |
+
top: 50%; left: 50%;
|
| 62 |
+
transform: translate(-50%, -50%);
|
| 63 |
+
animation: pulse 12s infinite ease-out;
|
| 64 |
+
opacity: 0;
|
| 65 |
+
}
|
| 66 |
+
.pulse-wave:nth-child(2) { animation-delay: 4s; width: 800px; height: 800px; }
|
| 67 |
+
.pulse-wave:nth-child(3) { animation-delay: 8s; width: 1000px; height: 1000px; }
|
| 68 |
+
@keyframes pulse {
|
| 69 |
+
0% { transform: translate(-50%, -50%) scale(0.1); opacity: 0.6; }
|
| 70 |
+
80% { opacity: 0.2; }
|
| 71 |
+
100% { transform: translate(-50%, -50%) scale(1.8); opacity: 0; }
|
| 72 |
+
}
|
| 73 |
+
|
| 74 |
+
/* Floating luminous cells / particles – clearly visible */
|
| 75 |
+
.cell {
|
| 76 |
+
position: absolute;
|
| 77 |
+
width: 10px; height: 10px;
|
| 78 |
+
background: #00ffaa;
|
| 79 |
+
border-radius: 50%;
|
| 80 |
+
box-shadow: 0 0 30px #00ffaa, 0 0 60px #00ffaa;
|
| 81 |
+
opacity: 0;
|
| 82 |
+
animation: floatCell 22s infinite linear;
|
| 83 |
+
}
|
| 84 |
+
@keyframes floatCell {
|
| 85 |
+
0% { opacity: 0; transform: translateY(110vh) scale(0.2) rotate(0deg); }
|
| 86 |
+
10% { opacity: 1; }
|
| 87 |
+
90% { opacity: 1; }
|
| 88 |
+
100% { opacity: 0; transform: translateY(-150px) scale(1) rotate(360deg); }
|
| 89 |
+
}
|
| 90 |
+
|
| 91 |
+
/* Soft central glow */
|
| 92 |
+
.core-glow {
|
| 93 |
+
position: absolute;
|
| 94 |
+
top: 50%; left: 50%;
|
| 95 |
+
width: 900px; height: 900px;
|
| 96 |
+
background: radial-gradient(circle, rgba(0,255,170,0.12) 0%, transparent 65%);
|
| 97 |
+
border-radius: 50%;
|
| 98 |
+
transform: translate(-50%, -50%);
|
| 99 |
+
animation: breathe 15s infinite ease-in-out;
|
| 100 |
+
}
|
| 101 |
+
@keyframes breathe {
|
| 102 |
+
0%,100% { transform: translate(-50%, -50%) scale(1); opacity: 0.4; }
|
| 103 |
+
50% { transform: translate(-50%, -50%) scale(1.15); opacity: 0.6; }
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
header { text-align: center; margin: 110px 0 60px; z-index: 10; position: relative; }
|
| 107 |
+
.main-title {
|
| 108 |
+
font-family: 'Playfair Display', serif;
|
| 109 |
+
font-size: clamp(3.5rem, 7vw, 5.5rem);
|
| 110 |
+
font-weight: 700;
|
| 111 |
+
background: linear-gradient(90deg, #ffffff, #00ffaa);
|
| 112 |
+
-webkit-background-clip: text;
|
| 113 |
+
-webkit-text-fill-color: transparent;
|
| 114 |
+
text-shadow: 0 0 40px rgba(0,255,170,0.5);
|
| 115 |
+
}
|
| 116 |
+
|
| 117 |
+
.container {
|
| 118 |
+
max-width: 1100px;
|
| 119 |
+
margin: 0 auto;
|
| 120 |
+
display: grid;
|
| 121 |
+
grid-template-columns: 1fr 1fr;
|
| 122 |
+
gap: 40px;
|
| 123 |
+
z-index: 2;
|
| 124 |
+
position: relative;
|
| 125 |
+
}
|
| 126 |
+
|
| 127 |
+
.upload-panel, .result-panel {
|
| 128 |
+
background: var(--card);
|
| 129 |
+
backdrop-filter: blur(28px);
|
| 130 |
+
border: 1px solid var(--border);
|
| 131 |
+
border-radius: 24px;
|
| 132 |
+
padding: 36px;
|
| 133 |
+
box-shadow: 0 20px 60px rgba(0,0,0,0.7);
|
| 134 |
+
display: flex;
|
| 135 |
+
flex-direction: column;
|
| 136 |
+
align-items: stretch;
|
| 137 |
+
}
|
| 138 |
+
|
| 139 |
+
.upload-panel {
|
| 140 |
+
max-height: fit-content;
|
| 141 |
+
}
|
| 142 |
+
|
| 143 |
+
.panel-title, .result-title { font-size: 1.4rem; color: white; margin-bottom: 8px; font-weight: 600; }
|
| 144 |
+
.result-title { text-align: center; margin-bottom: 24px; }
|
| 145 |
+
.panel-subtitle { font-size: 0.9rem; color: #bbbbbb; margin-bottom: 28px; }
|
| 146 |
+
|
| 147 |
+
.upload-box {
|
| 148 |
+
background: rgba(0,255,170,0.12);
|
| 149 |
+
border: 2px solid rgba(0,255,170,0.4);
|
| 150 |
+
border-radius: 20px;
|
| 151 |
+
padding: 20px;
|
| 152 |
+
text-align: center;
|
| 153 |
+
cursor: pointer;
|
| 154 |
+
transition: all 0.4s ease;
|
| 155 |
+
display: flex;
|
| 156 |
+
flex-direction: column;
|
| 157 |
+
align-items: center;
|
| 158 |
+
justify-content: center;
|
| 159 |
+
gap: 12px;
|
| 160 |
+
min-height: 180px;
|
| 161 |
+
margin-bottom: 20px;
|
| 162 |
+
}
|
| 163 |
+
.upload-box:hover { background: rgba(0,255,170,0.22); border-color: var(--green); transform: translateY(-5px); }
|
| 164 |
+
.upload-box.dragover { background: rgba(0,255,170,0.3); }
|
| 165 |
+
|
| 166 |
+
.upload-icon { font-size: 2.2rem; color: var(--green); }
|
| 167 |
+
.upload-text { font-size: 1rem; color: white; font-weight: 600; }
|
| 168 |
+
.upload-info { font-size: 0.8rem; color: #aaa; margin-top: 4px; }
|
| 169 |
+
|
| 170 |
+
#file-input { display: none; }
|
| 171 |
+
|
| 172 |
+
.scanner-container {
|
| 173 |
+
margin: 24px auto;
|
| 174 |
+
width: 85%;
|
| 175 |
+
height: 5px;
|
| 176 |
+
background: rgba(255,255,255,0.1);
|
| 177 |
+
border-radius: 10px;
|
| 178 |
+
overflow: hidden;
|
| 179 |
+
display: none;
|
| 180 |
+
}
|
| 181 |
+
.scanner-bar {
|
| 182 |
+
height: 100%;
|
| 183 |
+
background: linear-gradient(90deg, transparent, var(--green), transparent);
|
| 184 |
+
animation: scan 1.8s linear infinite;
|
| 185 |
+
box-shadow: 0 0 20px var(--green);
|
| 186 |
+
}
|
| 187 |
+
@keyframes scan { 0% { transform: translateX(-100%); } 100% { transform: translateX(100%); } }
|
| 188 |
+
|
| 189 |
+
.analyze-btn {
|
| 190 |
+
width: 100%;
|
| 191 |
+
padding: 18px;
|
| 192 |
+
font-size: 1.2rem;
|
| 193 |
+
font-weight: 700;
|
| 194 |
+
background: var(--green);
|
| 195 |
+
color: #000;
|
| 196 |
+
border: none;
|
| 197 |
+
border-radius: 50px;
|
| 198 |
+
cursor: pointer;
|
| 199 |
+
box-shadow: 0 12px 40px rgba(0,255,170,0.6);
|
| 200 |
+
transition: all 0.4s;
|
| 201 |
+
}
|
| 202 |
+
.analyze-btn:hover:not(:disabled) {
|
| 203 |
+
transform: translateY(-5px);
|
| 204 |
+
box-shadow: 0 25px 60px rgba(0,255,170,0.8);
|
| 205 |
+
}
|
| 206 |
+
|
| 207 |
+
.result-panel { align-items: center; }
|
| 208 |
+
.preview {
|
| 209 |
+
display: flex;
|
| 210 |
+
justify-content: center;
|
| 211 |
+
align-items: center;
|
| 212 |
+
padding-top: 6px;
|
| 213 |
+
}
|
| 214 |
+
.preview img {
|
| 215 |
+
width: 240px;
|
| 216 |
+
height: 240px;
|
| 217 |
+
object-fit: cover;
|
| 218 |
+
border-radius: 16px;
|
| 219 |
+
border: 2px solid var(--border);
|
| 220 |
+
box-shadow: 0 15px 40px rgba(0,0,0,0.5);
|
| 221 |
+
display: block;
|
| 222 |
+
}
|
| 223 |
+
|
| 224 |
+
.result-box {
|
| 225 |
+
padding: 18px 16px;
|
| 226 |
+
background: rgba(0,0,0,0.4);
|
| 227 |
+
border-radius: 16px;
|
| 228 |
+
font-size: 1.2rem;
|
| 229 |
+
font-weight: 700;
|
| 230 |
+
text-align: center;
|
| 231 |
+
min-height: 65px;
|
| 232 |
+
display: flex;
|
| 233 |
+
align-items: center;
|
| 234 |
+
justify-content: center;
|
| 235 |
+
margin: 24px auto 0;
|
| 236 |
+
max-width: 260px;
|
| 237 |
+
}
|
| 238 |
+
.cancer { border: 3px solid #ff3366; color: #ff6b9d; }
|
| 239 |
+
.normal { border: 3px solid var(--green); color: var(--green); }
|
| 240 |
+
|
| 241 |
+
footer { text-align: center; margin: 90px 0 40px; color: #666; font-size: 0.9rem; z-index: 2; position: relative; }
|
| 242 |
+
|
| 243 |
+
@media (max-width: 992px) { .container { grid-template-columns: 1fr; } }
|
| 244 |
+
@media (max-width: 600px) { .upload-box { flex-direction: column; } }
|
| 245 |
+
</style>
|
| 246 |
+
</head>
|
| 247 |
+
<body>
|
| 248 |
+
|
| 249 |
+
<!-- ELEGANT DIGITAL LAB BACKGROUND -->
|
| 250 |
+
<div class="lab-bg">
|
| 251 |
+
<div class="network"></div>
|
| 252 |
+
<div class="core-glow"></div>
|
| 253 |
+
<div class="pulse-wave"></div>
|
| 254 |
+
<div class="pulse-wave"></div>
|
| 255 |
+
<div class="pulse-wave"></div>
|
| 256 |
+
</div>
|
| 257 |
+
|
| 258 |
+
<header>
|
| 259 |
+
<h1 class="main-title">PulmoScanAI</h1>
|
| 260 |
+
</header>
|
| 261 |
+
|
| 262 |
+
<div class="container">
|
| 263 |
+
<div class="upload-panel">
|
| 264 |
+
<h2 class="panel-title">Upload Image</h2>
|
| 265 |
+
<p class="panel-subtitle">Trained on 100,000+ histopathology samples</p>
|
| 266 |
+
|
| 267 |
+
<label for="file-input" class="upload-box" id="upload-box">
|
| 268 |
+
<i class="fas fa-microscope upload-icon"></i>
|
| 269 |
+
<div>
|
| 270 |
+
<div class="upload-text">Drop image or click to browse</div>
|
| 271 |
+
<div class="upload-info">JPG, PNG, TIFF • Max 20MB</div>
|
| 272 |
+
</div>
|
| 273 |
+
</label>
|
| 274 |
+
<input type="file" id="file-input" accept="image/*">
|
| 275 |
+
|
| 276 |
+
<div class="scanner-container" id="scanner"><div class="scanner-bar"></div></div>
|
| 277 |
+
|
| 278 |
+
<button class="analyze-btn" id="analyze-btn">
|
| 279 |
+
<span id="btn-text">Analyze with AI</span>
|
| 280 |
+
</button>
|
| 281 |
+
</div>
|
| 282 |
+
|
| 283 |
+
<div class="result-panel">
|
| 284 |
+
<h2 class="result-title">Detection Result</h2>
|
| 285 |
+
<div class="preview" id="preview"></div>
|
| 286 |
+
<div class="result-box" id="result">Upload an image and click Analyze</div>
|
| 287 |
+
</div>
|
| 288 |
+
</div>
|
| 289 |
+
|
| 290 |
+
<footer>© 2025 PulmoScanAI • Next-Gen AI Pathology Platform</footer>
|
| 291 |
+
|
| 292 |
+
<script>
|
| 293 |
+
// Create 20 beautiful floating cells
|
| 294 |
+
for(let i = 0; i < 20; i++) {
|
| 295 |
+
let cell = document.createElement('div');
|
| 296 |
+
cell.className = 'cell';
|
| 297 |
+
cell.style.left = Math.random() * 100 + '%';
|
| 298 |
+
cell.style.animationDelay = Math.random() * 20 + 's';
|
| 299 |
+
cell.style.animationDuration = 18 + Math.random() * 18 + 's';
|
| 300 |
+
document.querySelector('.lab-bg').appendChild(cell);
|
| 301 |
+
}
|
| 302 |
+
|
| 303 |
+
// Functional script (unchanged)
|
| 304 |
+
const input = document.getElementById('file-input');
|
| 305 |
+
const uploadBox = document.getElementById('upload-box');
|
| 306 |
+
const preview = document.getElementById('preview');
|
| 307 |
+
const result = document.getElementById('result');
|
| 308 |
+
const scanner = document.getElementById('scanner');
|
| 309 |
+
const analyzeBtn = document.getElementById('analyze-btn');
|
| 310 |
+
const btnText = document.getElementById('btn-text');
|
| 311 |
+
|
| 312 |
+
['dragenter','dragover'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.add('dragover'); }));
|
| 313 |
+
['dragleave','drop'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.remove('dragover'); }));
|
| 314 |
+
uploadBox.addEventListener('drop', e => e.dataTransfer.files[0] && (input.files = e.dataTransfer.files) && handleFile(e.dataTransfer.files[0]));
|
| 315 |
+
input.addEventListener('change', e => e.target.files[0] && handleFile(e.target.files[0]));
|
| 316 |
+
|
| 317 |
+
function handleFile(file) {
|
| 318 |
+
const reader = new FileReader();
|
| 319 |
+
reader.onload = e => preview.innerHTML = `<img src="${e.target.result}" alt="Sample">`;
|
| 320 |
+
reader.readAsDataURL(file);
|
| 321 |
+
}
|
| 322 |
+
|
| 323 |
+
analyzeBtn.addEventListener('click', () => {
|
| 324 |
+
if (!input.files.length) return alert("Please upload an image first");
|
| 325 |
+
|
| 326 |
+
const formData = new FormData();
|
| 327 |
+
formData.append('image', input.files[0]);
|
| 328 |
+
|
| 329 |
+
btnText.innerHTML = `<i class="fas fa-spinner fa-spin"></i> Analyzing...`;
|
| 330 |
+
analyzeBtn.disabled = true;
|
| 331 |
+
scanner.style.display = 'block';
|
| 332 |
+
result.innerHTML = "AI is analyzing tissue...";
|
| 333 |
+
result.className = "result-box";
|
| 334 |
+
|
| 335 |
+
// Send image to backend for real model prediction
|
| 336 |
+
// Use relative URL to work with any deployment (localhost, Hugging Face, etc)
|
| 337 |
+
fetch('/api/predict', {
|
| 338 |
+
method: 'POST',
|
| 339 |
+
body: formData,
|
| 340 |
+
cache: 'no-store', // Prevent caching
|
| 341 |
+
headers: {
|
| 342 |
+
'Pragma': 'no-cache',
|
| 343 |
+
'Expires': '0'
|
| 344 |
+
}
|
| 345 |
+
})
|
| 346 |
+
.then(response => response.json())
|
| 347 |
+
.then(data => {
|
| 348 |
+
scanner.style.display = 'none';
|
| 349 |
+
|
| 350 |
+
// Clear previous result classes
|
| 351 |
+
result.className = "result-box";
|
| 352 |
+
|
| 353 |
+
if (data.error) {
|
| 354 |
+
result.innerHTML = `Error: ${data.error}`;
|
| 355 |
+
result.className = "result-box";
|
| 356 |
+
} else {
|
| 357 |
+
const diagnosis = data.diagnosis;
|
| 358 |
+
const confidence = data.confidence_percentage;
|
| 359 |
+
result.innerHTML = `${diagnosis}<br><span style="font-size: 0.9rem; opacity: 0.85;">${confidence}% Confidence</span>`;
|
| 360 |
+
|
| 361 |
+
// Apply correct color based on prediction
|
| 362 |
+
if (data.is_cancer) {
|
| 363 |
+
result.classList.add('cancer');
|
| 364 |
+
} else {
|
| 365 |
+
result.classList.add('normal');
|
| 366 |
+
}
|
| 367 |
+
}
|
| 368 |
+
|
| 369 |
+
btnText.textContent = "Analyze with AI";
|
| 370 |
+
analyzeBtn.disabled = false;
|
| 371 |
+
})
|
| 372 |
+
.catch(error => {
|
| 373 |
+
scanner.style.display = 'none';
|
| 374 |
+
result.innerHTML = `Error: ${error.message}`;
|
| 375 |
+
result.className = "result-box";
|
| 376 |
+
btnText.textContent = "Analyze with AI";
|
| 377 |
+
analyzeBtn.disabled = false;
|
| 378 |
+
console.error('Prediction error:', error);
|
| 379 |
+
});
|
| 380 |
+
});
|
| 381 |
+
</script>
|
| 382 |
+
</body>
|
| 383 |
</html>
|