Files
sad_test01/aicodes/module2_predictor/templates/index.html
anthony-s526 ffc4192ff0 Add CardioAI project with three modules
- Module 1: Dashboard for cardiovascular disease data visualization
- Module 2: Machine learning predictor with Flask API
- Module 3: Voice assistant with DeepSeek and CosyVoice integration
- Add .gitignore for proper file exclusion
- Update requirements and documentation

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 21:26:10 +08:00

889 lines
31 KiB
HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>CardioAI - Cardiovascular Disease Risk Assessment</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&family=Roboto:wght@300;400;500&display=swap" rel="stylesheet">
<style>
:root {
--primary-color: #2c3e50;
--secondary-color: #3498db;
--success-color: #27ae60;
--warning-color: #f39c12;
--danger-color: #e74c3c;
--light-color: #ecf0f1;
--dark-color: #2c3e50;
--border-radius: 10px;
--box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
--transition: all 0.3s ease;
}
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: 'Roboto', sans-serif;
line-height: 1.6;
color: #333;
background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
min-height: 100vh;
padding: 20px;
}
.container {
max-width: 1200px;
margin: 0 auto;
padding: 20px;
}
.header {
text-align: center;
margin-bottom: 40px;
padding: 30px;
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
}
.logo {
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 20px;
}
.logo i {
font-size: 48px;
color: var(--danger-color);
margin-right: 15px;
}
.logo h1 {
font-family: 'Poppins', sans-serif;
font-size: 36px;
color: var(--primary-color);
font-weight: 700;
}
.subtitle {
font-size: 18px;
color: #666;
margin-top: 10px;
}
.content {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 30px;
margin-bottom: 40px;
}
@media (max-width: 992px) {
.content {
grid-template-columns: 1fr;
}
}
.card {
background: white;
border-radius: var(--border-radius);
box-shadow: var(--box-shadow);
padding: 30px;
transition: var(--transition);
}
.card:hover {
box-shadow: 0 10px 25px rgba(0, 0, 0, 0.15);
}
.card h2 {
font-family: 'Poppins', sans-serif;
font-size: 24px;
color: var(--primary-color);
margin-bottom: 20px;
padding-bottom: 15px;
border-bottom: 2px solid var(--light-color);
}
.card h2 i {
margin-right: 10px;
color: var(--secondary-color);
}
.form-group {
margin-bottom: 20px;
}
.form-group label {
display: block;
margin-bottom: 8px;
font-weight: 500;
color: var(--dark-color);
}
.form-group input, .form-group select {
width: 100%;
padding: 12px 15px;
border: 2px solid #ddd;
border-radius: 8px;
font-size: 16px;
transition: var(--transition);
background-color: #f8f9fa;
}
.form-group input:focus, .form-group select:focus {
border-color: var(--secondary-color);
outline: none;
background-color: white;
box-shadow: 0 0 0 3px rgba(52, 152, 219, 0.2);
}
.input-with-unit {
position: relative;
}
.input-with-unit input {
padding-right: 50px;
}
.unit {
position: absolute;
right: 15px;
top: 50%;
transform: translateY(-50%);
color: #777;
font-weight: 500;
}
.form-row {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
}
.form-help {
font-size: 14px;
color: #666;
margin-top: 5px;
}
.btn {
display: inline-block;
padding: 14px 30px;
background: var(--secondary-color);
color: white;
border: none;
border-radius: 8px;
font-size: 18px;
font-weight: 600;
cursor: pointer;
transition: var(--transition);
width: 100%;
margin-top: 10px;
}
.btn:hover {
background: #2980b9;
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(41, 128, 185, 0.3);
}
.btn:active {
transform: translateY(0);
}
.btn i {
margin-right: 10px;
}
.result-container {
display: none;
}
.result-card {
text-align: center;
padding: 30px;
}
.risk-level {
font-size: 32px;
font-weight: 700;
margin-bottom: 20px;
padding: 15px;
border-radius: var(--border-radius);
}
.risk-low {
background-color: rgba(39, 174, 96, 0.1);
color: var(--success-color);
border: 2px solid var(--success-color);
}
.risk-medium {
background-color: rgba(243, 156, 18, 0.1);
color: var(--warning-color);
border: 2px solid var(--warning-color);
}
.risk-high {
background-color: rgba(231, 76, 60, 0.1);
color: var(--danger-color);
border: 2px solid var(--danger-color);
}
.probability-circle {
width: 200px;
height: 200px;
border-radius: 50%;
margin: 0 auto 30px;
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
position: relative;
background: conic-gradient(
var(--secondary-color) 0% var(--percentage),
#f0f0f0 var(--percentage) 100%
);
}
.probability-circle::before {
content: '';
position: absolute;
width: 160px;
height: 160px;
background: white;
border-radius: 50%;
}
.probability-value {
font-size: 48px;
font-weight: 700;
position: relative;
z-index: 1;
color: var(--primary-color);
}
.probability-label {
font-size: 18px;
position: relative;
z-index: 1;
color: #666;
}
.prediction-result {
font-size: 24px;
font-weight: 600;
margin: 20px 0;
padding: 15px;
border-radius: var(--border-radius);
background-color: #f8f9fa;
}
.recommendation {
background-color: #f0f8ff;
padding: 20px;
border-radius: var(--border-radius);
margin-top: 20px;
border-left: 4px solid var(--secondary-color);
}
.recommendation h3 {
color: var(--primary-color);
margin-bottom: 10px;
}
.details {
margin-top: 30px;
text-align: left;
}
.details h3 {
color: var(--primary-color);
margin-bottom: 15px;
}
.details-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 15px;
}
.detail-item {
background-color: #f8f9fa;
padding: 15px;
border-radius: 8px;
}
.detail-label {
font-weight: 600;
color: #666;
font-size: 14px;
}
.detail-value {
font-weight: 700;
color: var(--primary-color);
font-size: 18px;
margin-top: 5px;
}
.loading {
display: none;
text-align: center;
padding: 30px;
}
.loading-spinner {
width: 50px;
height: 50px;
border: 5px solid #f3f3f3;
border-top: 5px solid var(--secondary-color);
border-radius: 50%;
animation: spin 1s linear infinite;
margin: 0 auto 20px;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
.error {
display: none;
background-color: rgba(231, 76, 60, 0.1);
border: 1px solid var(--danger-color);
color: var(--danger-color);
padding: 15px;
border-radius: 8px;
margin-top: 20px;
}
.footer {
text-align: center;
padding: 20px;
color: #666;
font-size: 14px;
margin-top: 40px;
border-top: 1px solid #eee;
}
.info-box {
background-color: #e8f4fc;
border-left: 4px solid var(--secondary-color);
padding: 15px;
margin-bottom: 25px;
border-radius: 0 8px 8px 0;
}
.info-box p {
margin: 0;
}
.model-status {
display: flex;
align-items: center;
justify-content: center;
margin-bottom: 20px;
padding: 10px;
border-radius: 8px;
background-color: #f8f9fa;
}
.status-indicator {
width: 12px;
height: 12px;
border-radius: 50%;
margin-right: 10px;
}
.status-connected {
background-color: var(--success-color);
animation: pulse 2s infinite;
}
@keyframes pulse {
0% { opacity: 1; }
50% { opacity: 0.5; }
100% { opacity: 1; }
}
</style>
</head>
<body>
<div class="container">
<header class="header">
<div class="logo">
<i class="fas fa-heartbeat"></i>
<h1>CardioAI</h1>
</div>
<p class="subtitle">Cardiovascular Disease Risk Assessment System</p>
<p>Enter your health information below to assess your risk of cardiovascular disease</p>
</header>
<div class="model-status" id="modelStatus">
<div class="status-indicator status-connected"></div>
<span>Connected to CardioAI Prediction Engine</span>
</div>
<div class="content">
<div class="card">
<h2><i class="fas fa-user-circle"></i> Patient Information</h2>
<div class="info-box">
<p><i class="fas fa-info-circle"></i> Please provide accurate health information for the most reliable risk assessment.</p>
</div>
<form id="predictionForm">
<div class="form-row">
<div class="form-group">
<label for="age_years"><i class="fas fa-birthday-cake"></i> Age (years)</label>
<div class="input-with-unit">
<input type="number" id="age_years" name="age_years" min="20" max="100" step="1" value="45" required>
<span class="unit">years</span>
</div>
<div class="form-help">Enter age between 20-100 years</div>
</div>
<div class="form-group">
<label for="gender"><i class="fas fa-venus-mars"></i> Gender</label>
<select id="gender" name="gender" required>
<option value="1">Female</option>
<option value="2" selected>Male</option>
</select>
<div class="form-help">1: Female, 2: Male</div>
</div>
</div>
<div class="form-row">
<div class="form-group">
<label for="height"><i class="fas fa-arrows-alt-v"></i> Height</label>
<div class="input-with-unit">
<input type="number" id="height" name="height" min="100" max="250" step="0.1" value="170" required>
<span class="unit">cm</span>
</div>
<div class="form-help">Height in centimeters (100-250 cm)</div>
</div>
<div class="form-group">
<label for="weight"><i class="fas fa-weight"></i> Weight</label>
<div class="input-with-unit">
<input type="number" id="weight" name="weight" min="30" max="200" step="0.1" value="70" required>
<span class="unit">kg</span>
</div>
<div class="form-help">Weight in kilograms (30-200 kg)</div>
</div>
</div>
<div class="form-row">
<div class="form-group">
<label for="ap_hi"><i class="fas fa-heart"></i> Systolic BP</label>
<div class="input-with-unit">
<input type="number" id="ap_hi" name="ap_hi" min="90" max="250" step="1" value="120" required>
<span class="unit">mmHg</span>
</div>
<div class="form-help">Systolic blood pressure (90-250 mmHg)</div>
</div>
<div class="form-group">
<label for="ap_lo"><i class="fas fa-heartbeat"></i> Diastolic BP</label>
<div class="input-with-unit">
<input type="number" id="ap_lo" name="ap_lo" min="60" max="150" step="1" value="80" required>
<span class="unit">mmHg</span>
</div>
<div class="form-help">Diastolic blood pressure (60-150 mmHg)</div>
</div>
</div>
<div class="form-row">
<div class="form-group">
<label for="cholesterol"><i class="fas fa-vial"></i> Cholesterol</label>
<select id="cholesterol" name="cholesterol" required>
<option value="1">Normal</option>
<option value="2" selected>Above Normal</option>
<option value="3">Well Above Normal</option>
</select>
<div class="form-help">1: Normal, 2: Above Normal, 3: Well Above Normal</div>
</div>
<div class="form-group">
<label for="gluc"><i class="fas fa-tint"></i> Glucose</label>
<select id="gluc" name="gluc" required>
<option value="1">Normal</option>
<option value="2" selected>Above Normal</option>
<option value="3">Well Above Normal</option>
</select>
<div class="form-help">1: Normal, 2: Above Normal, 3: Well Above Normal</div>
</div>
</div>
<div class="form-row">
<div class="form-group">
<label for="smoke"><i class="fas fa-smoking"></i> Smoking</label>
<select id="smoke" name="smoke" required>
<option value="0" selected>No</option>
<option value="1">Yes</option>
</select>
<div class="form-help">0: No, 1: Yes</div>
</div>
<div class="form-group">
<label for="alco"><i class="fas fa-wine-glass-alt"></i> Alcohol</label>
<select id="alco" name="alco" required>
<option value="0" selected>No</option>
<option value="1">Yes</option>
</select>
<div class="form-help">0: No, 1: Yes</div>
</div>
</div>
<div class="form-group">
<label for="active"><i class="fas fa-running"></i> Physical Activity</label>
<select id="active" name="active" required>
<option value="0">No</option>
<option value="1" selected>Yes</option>
</select>
<div class="form-help">0: No, 1: Yes</div>
</div>
<button type="submit" class="btn" id="predictBtn">
<i class="fas fa-brain"></i> Assess Cardiovascular Risk
</button>
</form>
<div class="loading" id="loading">
<div class="loading-spinner"></div>
<p>Analyzing health data and calculating risk...</p>
</div>
<div class="error" id="errorMessage"></div>
</div>
<div class="card result-container" id="resultContainer">
<h2><i class="fas fa-chart-line"></i> Risk Assessment Results</h2>
<div class="result-card">
<div class="prediction-result" id="predictionResult">
<!-- Prediction result will be shown here -->
</div>
<div class="risk-level" id="riskLevel">
<!-- Risk level will be shown here -->
</div>
<div class="probability-circle" id="probabilityCircle">
<div class="probability-value" id="probabilityValue">0%</div>
<div class="probability-label">Risk Probability</div>
</div>
<div class="recommendation" id="recommendation">
<!-- Recommendation will be shown here -->
</div>
<div class="details">
<h3><i class="fas fa-info-circle"></i> Input Summary</h3>
<div class="details-grid" id="inputSummary">
<!-- Input summary will be shown here -->
</div>
</div>
<button class="btn" id="newAssessmentBtn" style="margin-top: 30px; background-color: var(--primary-color);">
<i class="fas fa-redo"></i> New Assessment
</button>
</div>
</div>
</div>
<div class="footer">
<p><i class="fas fa-shield-alt"></i> CardioAI - Cardiovascular Disease Intelligent Assistant System</p>
<p>This tool provides a risk assessment based on machine learning models and should not replace professional medical advice.</p>
<p>© 2026 CardioAI. All rights reserved.</p>
</div>
</div>
<script>
// DOM Elements
const predictionForm = document.getElementById('predictionForm');
const resultContainer = document.getElementById('resultContainer');
const loadingElement = document.getElementById('loading');
const errorElement = document.getElementById('errorMessage');
const probabilityCircle = document.getElementById('probabilityCircle');
const probabilityValue = document.getElementById('probabilityValue');
const riskLevel = document.getElementById('riskLevel');
const predictionResult = document.getElementById('predictionResult');
const recommendation = document.getElementById('recommendation');
const inputSummary = document.getElementById('inputSummary');
const newAssessmentBtn = document.getElementById('newAssessmentBtn');
const predictBtn = document.getElementById('predictBtn');
// Model status check
async function checkModelStatus() {
try {
const response = await fetch('/api/model_info');
if (response.ok) {
console.log('✅ Model is ready');
return true;
} else {
console.warn('⚠️ Model may not be loaded');
return false;
}
} catch (error) {
console.error('❌ Error checking model status:', error);
return false;
}
}
// Format feature values for display
function formatFeatureValue(feature, value) {
const featureLabels = {
'age_years': 'Age',
'gender': 'Gender',
'height': 'Height',
'weight': 'Weight',
'ap_hi': 'Systolic BP',
'ap_lo': 'Diastolic BP',
'cholesterol': 'Cholesterol',
'gluc': 'Glucose',
'smoke': 'Smoking',
'alco': 'Alcohol',
'active': 'Physical Activity'
};
const valueLabels = {
'gender': { '1': 'Female', '2': 'Male' },
'cholesterol': { '1': 'Normal', '2': 'Above Normal', '3': 'Well Above Normal' },
'gluc': { '1': 'Normal', '2': 'Above Normal', '3': 'Well Above Normal' },
'smoke': { '0': 'No', '1': 'Yes' },
'alco': { '0': 'No', '1': 'Yes' },
'active': { '0': 'No', '1': 'Yes' }
};
const label = featureLabels[feature] || feature;
let displayValue = value;
if (feature in valueLabels) {
displayValue = valueLabels[feature][value] || value;
} else if (feature === 'height') {
displayValue = `${value} cm`;
} else if (feature === 'weight') {
displayValue = `${value} kg`;
} else if (feature === 'ap_hi' || feature === 'ap_lo') {
displayValue = `${value} mmHg`;
} else if (feature === 'age_years') {
displayValue = `${value} years`;
}
return { label, value: displayValue };
}
// Show loading state
function showLoading() {
loadingElement.style.display = 'block';
predictBtn.disabled = true;
predictBtn.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Processing...';
errorElement.style.display = 'none';
}
// Hide loading state
function hideLoading() {
loadingElement.style.display = 'none';
predictBtn.disabled = false;
predictBtn.innerHTML = '<i class="fas fa-brain"></i> Assess Cardiovascular Risk';
}
// Show error message
function showError(message) {
errorElement.textContent = message;
errorElement.style.display = 'block';
hideLoading();
}
// Display results
function displayResults(data) {
// Update probability circle
const percentage = (data.probability * 100).toFixed(1);
probabilityCircle.style.setProperty('--percentage', `${percentage}%`);
probabilityValue.textContent = `${percentage}%`;
// Update risk level
let riskClass = '';
let riskText = '';
if (data.risk_level === 'Low') {
riskClass = 'risk-low';
riskText = 'Low Risk';
} else if (data.risk_level === 'Medium') {
riskClass = 'risk-medium';
riskText = 'Medium Risk';
} else {
riskClass = 'risk-high';
riskText = 'High Risk';
}
riskLevel.className = `risk-level ${riskClass}`;
riskLevel.innerHTML = `<i class="fas fa-exclamation-circle"></i> ${riskText}`;
// Update prediction result
if (data.prediction === 1) {
predictionResult.innerHTML = `
<i class="fas fa-exclamation-triangle"></i>
<span style="color: ${data.risk_level === 'High' ? '#e74c3c' : '#f39c12'}">
Cardiovascular Disease Risk Detected
</span>
`;
} else {
predictionResult.innerHTML = `
<i class="fas fa-check-circle"></i>
<span style="color: #27ae60">
No Significant Cardiovascular Disease Risk Detected
</span>
`;
}
// Update recommendation
recommendation.innerHTML = `
<h3><i class="fas fa-stethoscope"></i> Recommendation</h3>
<p>${data.recommendation}</p>
<p style="margin-top: 10px; font-size: 14px; color: #666;">
<i class="fas fa-lightbulb"></i> Probability of cardiovascular disease: ${percentage}%
</p>
`;
// Update input summary
let summaryHTML = '';
for (const [feature, value] of Object.entries(data.input_features)) {
const formatted = formatFeatureValue(feature, value);
summaryHTML += `
<div class="detail-item">
<div class="detail-label">${formatted.label}</div>
<div class="detail-value">${formatted.value}</div>
</div>
`;
}
inputSummary.innerHTML = summaryHTML;
// Show result container
resultContainer.style.display = 'block';
// Scroll to results
resultContainer.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
}
// Form submission handler
predictionForm.addEventListener('submit', async function(event) {
event.preventDefault();
// Validate form
if (!predictionForm.checkValidity()) {
predictionForm.reportValidity();
return;
}
// Collect form data
const formData = new FormData(predictionForm);
const data = Object.fromEntries(formData.entries());
// Convert numeric values
const numericFields = ['age_years', 'height', 'weight', 'ap_hi', 'ap_lo',
'cholesterol', 'gluc', 'smoke', 'alco', 'active', 'gender'];
numericFields.forEach(field => {
if (data[field] !== undefined) {
data[field] = parseFloat(data[field]);
}
});
showLoading();
try {
// Send prediction request
const response = await fetch('/predict_cardio', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(data)
});
const result = await response.json();
if (response.ok && result.status === 'success') {
displayResults(result);
} else {
showError(result.message || 'Error making prediction');
}
} catch (error) {
showError(`Network error: ${error.message}. Please check if the server is running.`);
} finally {
hideLoading();
}
});
// New assessment button
newAssessmentBtn.addEventListener('click', function() {
resultContainer.style.display = 'none';
predictionForm.reset();
// Scroll back to form
predictionForm.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
});
// Initialize with example data and check model status
document.addEventListener('DOMContentLoaded', async function() {
console.log('🚀 CardioAI Web Interface Initialized');
// Check model status
const modelReady = await checkModelStatus();
if (!modelReady) {
console.warn('Model may not be ready. Please ensure the training script has been run.');
}
// Set up example data button (optional)
const exampleBtn = document.createElement('button');
exampleBtn.type = 'button';
exampleBtn.className = 'btn';
exampleBtn.style.backgroundColor = 'var(--warning-color)';
exampleBtn.style.marginTop = '10px';
exampleBtn.innerHTML = '<i class="fas fa-vial"></i> Load Example Data';
exampleBtn.onclick = function() {
document.getElementById('age_years').value = 55;
document.getElementById('gender').value = 2;
document.getElementById('height').value = 175.5;
document.getElementById('weight').value = 85.2;
document.getElementById('ap_hi').value = 140;
document.getElementById('ap_lo').value = 90;
document.getElementById('cholesterol').value = 3;
document.getElementById('gluc').value = 2;
document.getElementById('smoke').value = 1;
document.getElementById('alco').value = 1;
document.getElementById('active').value = 0;
};
predictionForm.appendChild(exampleBtn);
});
// Input validation helper
function setupInputValidation() {
const inputs = document.querySelectorAll('input[type="number"]');
inputs.forEach(input => {
input.addEventListener('input', function() {
const min = parseFloat(this.min);
const max = parseFloat(this.max);
const value = parseFloat(this.value);
if (!isNaN(min) && !isNaN(max) && !isNaN(value)) {
if (value < min) this.value = min;
if (value > max) this.value = max;
}
});
});
}
// Initialize input validation
setupInputValidation();
</script>
</body>
</html>