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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>PulmoScanAI • AI Lung Cancer Detection</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Playfair+Display:wght@700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
<style>
:root {
--green: #00ffaa;
--bg: #040d1a;
--card: rgba(15, 25, 45, 0.75);
--border: rgba(0, 255, 170, 0.35);
--text: #e0fff8;
}
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: 'Inter', sans-serif;
background: var(--bg);
color: var(--text);
min-height: 100vh;
overflow-y: auto;
position: relative;
}
/* ULTRA-ELEGANT DIGITAL LAB BACKGROUND – NO SCAN LINES */
.lab-bg {
position: fixed;
top: 0; left: 0; width: 100%; height: 100%;
pointer-events: none;
z-index: 0;
overflow: hidden;
}
/* Molecular network – visible & beautiful */
.network {
position: absolute;
width: 100%; height: 100%;
background-image:
radial-gradient(circle at 20% 80%, rgba(0,255,170,0.15) 1px, transparent 1px),
radial-gradient(circle at 80% 20%, rgba(0,255,170,0.15) 1px, transparent 1px),
radial-gradient(circle at 50% 50%, rgba(0,255,170,0.1) 1px, transparent 1px);
background-size: 120px 120px, 160px 160px, 200px 200px;
background-position: 0 0, 40px 70px, 80px 40px;
animation: networkFlow 40s linear infinite;
opacity: 0.6;
}
@keyframes networkFlow {
0% { background-position: 0 0, 40px 70px, 80px 40px; }
100% { background-position: 120px 120px, -120px -50px, -80px 100px; }
}
/* Energy pulse waves */
.pulse-wave {
position: absolute;
width: 600px; height: 600px;
border: 2px solid rgba(0,255,170,0.3);
border-radius: 50%;
top: 50%; left: 50%;
transform: translate(-50%, -50%);
animation: pulse 12s infinite ease-out;
opacity: 0;
}
.pulse-wave:nth-child(2) { animation-delay: 4s; width: 800px; height: 800px; }
.pulse-wave:nth-child(3) { animation-delay: 8s; width: 1000px; height: 1000px; }
@keyframes pulse {
0% { transform: translate(-50%, -50%) scale(0.1); opacity: 0.6; }
80% { opacity: 0.2; }
100% { transform: translate(-50%, -50%) scale(1.8); opacity: 0; }
}
/* Floating luminous cells / particles – clearly visible */
.cell {
position: absolute;
width: 10px; height: 10px;
background: #00ffaa;
border-radius: 50%;
box-shadow: 0 0 30px #00ffaa, 0 0 60px #00ffaa;
opacity: 0;
animation: floatCell 22s infinite linear;
}
@keyframes floatCell {
0% { opacity: 0; transform: translateY(110vh) scale(0.2) rotate(0deg); }
10% { opacity: 1; }
90% { opacity: 1; }
100% { opacity: 0; transform: translateY(-150px) scale(1) rotate(360deg); }
}
/* Soft central glow */
.core-glow {
position: absolute;
top: 50%; left: 50%;
width: 900px; height: 900px;
background: radial-gradient(circle, rgba(0,255,170,0.12) 0%, transparent 65%);
border-radius: 50%;
transform: translate(-50%, -50%);
animation: breathe 15s infinite ease-in-out;
}
@keyframes breathe {
0%,100% { transform: translate(-50%, -50%) scale(1); opacity: 0.4; }
50% { transform: translate(-50%, -50%) scale(1.15); opacity: 0.6; }
}
header { text-align: center; margin: 110px 0 60px; z-index: 10; position: relative; }
.main-title {
font-family: 'Playfair Display', serif;
font-size: clamp(3.5rem, 7vw, 5.5rem);
font-weight: 700;
background: linear-gradient(90deg, #ffffff, #00ffaa);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
text-shadow: 0 0 40px rgba(0,255,170,0.5);
}
.container {
max-width: 1100px;
margin: 0 auto;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 40px;
z-index: 2;
position: relative;
}
.upload-panel, .result-panel {
background: var(--card);
backdrop-filter: blur(28px);
border: 1px solid var(--border);
border-radius: 24px;
padding: 36px;
box-shadow: 0 20px 60px rgba(0,0,0,0.7);
display: flex;
flex-direction: column;
align-items: stretch;
}
.upload-panel {
max-height: fit-content;
}
.panel-title, .result-title { font-size: 1.4rem; color: white; margin-bottom: 8px; font-weight: 600; }
.result-title { text-align: center; margin-bottom: 24px; }
.panel-subtitle { font-size: 0.9rem; color: #bbbbbb; margin-bottom: 28px; }
.upload-box {
background: rgba(0,255,170,0.12);
border: 2px solid rgba(0,255,170,0.4);
border-radius: 20px;
padding: 20px;
text-align: center;
cursor: pointer;
transition: all 0.4s ease;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: 12px;
min-height: 180px;
margin-bottom: 20px;
}
.upload-box:hover { background: rgba(0,255,170,0.22); border-color: var(--green); transform: translateY(-5px); }
.upload-box.dragover { background: rgba(0,255,170,0.3); }
.upload-icon { font-size: 2.2rem; color: var(--green); }
.upload-text { font-size: 1rem; color: white; font-weight: 600; }
.upload-info { font-size: 0.8rem; color: #aaa; margin-top: 4px; }
#file-input { display: none; }
.scanner-container {
margin: 24px auto;
width: 85%;
height: 5px;
background: rgba(255,255,255,0.1);
border-radius: 10px;
overflow: hidden;
display: none;
}
.scanner-bar {
height: 100%;
background: linear-gradient(90deg, transparent, var(--green), transparent);
animation: scan 1.8s linear infinite;
box-shadow: 0 0 20px var(--green);
}
@keyframes scan { 0% { transform: translateX(-100%); } 100% { transform: translateX(100%); } }
.analyze-btn {
width: 100%;
padding: 18px;
font-size: 1.2rem;
font-weight: 700;
background: var(--green);
color: #000;
border: none;
border-radius: 50px;
cursor: pointer;
box-shadow: 0 12px 40px rgba(0,255,170,0.6);
transition: all 0.4s;
}
.analyze-btn:hover:not(:disabled) {
transform: translateY(-5px);
box-shadow: 0 25px 60px rgba(0,255,170,0.8);
}
.result-panel { align-items: center; }
.preview {
display: flex;
justify-content: center;
align-items: center;
padding-top: 6px;
}
.preview img {
width: 240px;
height: 240px;
object-fit: cover;
border-radius: 16px;
border: 2px solid var(--border);
box-shadow: 0 15px 40px rgba(0,0,0,0.5);
display: block;
}
.result-box {
padding: 18px 16px;
background: rgba(0,0,0,0.4);
border-radius: 16px;
font-size: 1.2rem;
font-weight: 700;
text-align: center;
min-height: 65px;
display: flex;
align-items: center;
justify-content: center;
margin: 24px auto 0;
max-width: 260px;
}
.cancer { border: 3px solid #ff3366; color: #ff6b9d; }
.normal { border: 3px solid var(--green); color: var(--green); }
footer { text-align: center; margin: 90px 0 40px; color: #666; font-size: 0.9rem; z-index: 2; position: relative; }
@media (max-width: 992px) { .container { grid-template-columns: 1fr; } }
@media (max-width: 600px) { .upload-box { flex-direction: column; } }
</style>
</head>
<body>
<!-- ELEGANT DIGITAL LAB BACKGROUND -->
<div class="lab-bg">
<div class="network"></div>
<div class="core-glow"></div>
<div class="pulse-wave"></div>
<div class="pulse-wave"></div>
<div class="pulse-wave"></div>
</div>
<header>
<h1 class="main-title">PulmoScanAI</h1>
</header>
<div class="container">
<div class="upload-panel">
<h2 class="panel-title">Upload Image</h2>
<p class="panel-subtitle">Trained on 100,000+ histopathology samples</p>
<label for="file-input" class="upload-box" id="upload-box">
<i class="fas fa-microscope upload-icon"></i>
<div>
<div class="upload-text">Drop image or click to browse</div>
<div class="upload-info">JPG, PNG, TIFF • Max 20MB</div>
</div>
</label>
<input type="file" id="file-input" accept="image/*">
<div class="scanner-container" id="scanner"><div class="scanner-bar"></div></div>
<button class="analyze-btn" id="analyze-btn">
<span id="btn-text">Analyze with AI</span>
</button>
</div>
<div class="result-panel">
<h2 class="result-title">Detection Result</h2>
<div class="preview" id="preview"></div>
<div class="result-box" id="result">Upload an image and click Analyze</div>
</div>
</div>
<footer>© 2025 PulmoScanAI • Next-Gen AI Pathology Platform</footer>
<script>
// Create 20 beautiful floating cells
for(let i = 0; i < 20; i++) {
let cell = document.createElement('div');
cell.className = 'cell';
cell.style.left = Math.random() * 100 + '%';
cell.style.animationDelay = Math.random() * 20 + 's';
cell.style.animationDuration = 18 + Math.random() * 18 + 's';
document.querySelector('.lab-bg').appendChild(cell);
}
// Functional script (unchanged)
const input = document.getElementById('file-input');
const uploadBox = document.getElementById('upload-box');
const preview = document.getElementById('preview');
const result = document.getElementById('result');
const scanner = document.getElementById('scanner');
const analyzeBtn = document.getElementById('analyze-btn');
const btnText = document.getElementById('btn-text');
['dragenter','dragover'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.add('dragover'); }));
['dragleave','drop'].forEach(e => uploadBox.addEventListener(e, ev => { ev.preventDefault(); uploadBox.classList.remove('dragover'); }));
uploadBox.addEventListener('drop', e => e.dataTransfer.files[0] && (input.files = e.dataTransfer.files) && handleFile(e.dataTransfer.files[0]));
input.addEventListener('change', e => e.target.files[0] && handleFile(e.target.files[0]));
function handleFile(file) {
const reader = new FileReader();
reader.onload = e => preview.innerHTML = `<img src="${e.target.result}" alt="Sample">`;
reader.readAsDataURL(file);
}
analyzeBtn.addEventListener('click', () => {
if (!input.files.length) return alert("Please upload an image first");
const formData = new FormData();
formData.append('image', input.files[0]);
btnText.innerHTML = `<i class="fas fa-spinner fa-spin"></i> Analyzing...`;
analyzeBtn.disabled = true;
scanner.style.display = 'block';
result.innerHTML = "AI is analyzing tissue...";
result.className = "result-box";
// Send image to backend for real model prediction
// Use relative URL to work with any deployment (localhost, Hugging Face, etc)
fetch('/api/predict', {
method: 'POST',
body: formData,
cache: 'no-store', // Prevent caching
headers: {
'Pragma': 'no-cache',
'Expires': '0'
}
})
.then(response => response.json())
.then(data => {
scanner.style.display = 'none';
// Clear previous result classes
result.className = "result-box";
if (data.error) {
result.innerHTML = `Error: ${data.error}`;
result.className = "result-box";
} else {
const diagnosis = data.diagnosis;
const confidence = data.confidence_percentage;
result.innerHTML = `${diagnosis}<br><span style="font-size: 0.9rem; opacity: 0.85;">${confidence}% Confidence</span>`;
// Apply correct color based on prediction
if (data.is_cancer) {
result.classList.add('cancer');
} else {
result.classList.add('normal');
}
}
btnText.textContent = "Analyze with AI";
analyzeBtn.disabled = false;
})
.catch(error => {
scanner.style.display = 'none';
result.innerHTML = `Error: ${error.message}`;
result.className = "result-box";
btnText.textContent = "Analyze with AI";
analyzeBtn.disabled = false;
console.error('Prediction error:', error);
});
});
</script>
</body>
</html> |