Spaces:
Running
Running
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Diabetes Prediction Ensemble</title> | |
| <script src="https://cdn.tailwindcss.com"></script> | |
| <script src="https://cdn.jsdelivr.net/npm/chart.js"></script> | |
| <script src="https://cdn.jsdelivr.net/npm/shap@0.41.0/dist/shap.min.js"></script> | |
| <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css"> | |
| <style> | |
| .gradient-bg { | |
| background: linear-gradient(135deg, #4f46e5 0%, #7c3aed 50%, #a855f7 100%); | |
| } | |
| .feature-importance-bar { | |
| transition: width 0.5s ease-in-out; | |
| } | |
| .model-card:hover { | |
| transform: translateY(-5px); | |
| box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04); | |
| } | |
| .shap-waterfall { | |
| background-color: #f8fafc; | |
| border-radius: 0.5rem; | |
| padding: 1rem; | |
| } | |
| .input-highlight { | |
| border-color: #4f46e5; | |
| box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.2); | |
| } | |
| </style> | |
| </head> | |
| <body class="bg-gray-50 min-h-screen"> | |
| <!-- Header --> | |
| <header class="gradient-bg text-white shadow-lg"> | |
| <div class="container mx-auto px-4 py-6"> | |
| <div class="flex justify-between items-center"> | |
| <div class="flex items-center space-x-3"> | |
| <i class="fas fa-heartbeat text-3xl"></i> | |
| <h1 class="text-2xl font-bold">DiabetesPredict</h1> | |
| </div> | |
| <nav> | |
| <ul class="flex space-x-6"> | |
| <li><a href="#" class="hover:text-gray-200 transition">Home</a></li> | |
| </ul> | |
| </nav> | |
| </div> | |
| </div> | |
| </header> | |
| <!-- Main Content --> | |
| <main class="container mx-auto px-4 py-8"> | |
| <div class="grid grid-cols-1 lg:grid-cols-3 gap-8"> | |
| <!-- Input Form Section --> | |
| <div class="lg:col-span-1 bg-white rounded-xl shadow-md p-6"> | |
| <h2 class="text-xl font-semibold text-gray-800 mb-4">Patient Information</h2> | |
| <p class="text-gray-600 mb-6">Enter your health metrics to assess diabetes risk using our advanced ensemble model.</p> | |
| <form id="predictionForm" class="space-y-4"> | |
| <div> | |
| <label for="pregnancies" class="block text-sm font-medium text-gray-700 mb-1">Pregnancies</label> | |
| <input type="number" id="pregnancies" name="pregnancies" min="0" max="20" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="glucose" class="block text-sm font-medium text-gray-700 mb-1">Glucose (mg/dL)</label> | |
| <input type="number" id="glucose" name="glucose" min="0" max="300" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="bloodPressure" class="block text-sm font-medium text-gray-700 mb-1">Blood Pressure (mmHg)</label> | |
| <input type="number" id="bloodPressure" name="bloodPressure" min="0" max="150" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="skinThickness" class="block text-sm font-medium text-gray-700 mb-1">Skin Thickness (mm)</label> | |
| <input type="number" id="skinThickness" name="skinThickness" min="0" max="100" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="insulin" class="block text-sm font-medium text-gray-700 mb-1">Insulin (μU/mL)</label> | |
| <input type="number" id="insulin" name="insulin" min="0" max="300" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="bmi" class="block text-sm font-medium text-gray-700 mb-1">BMI</label> | |
| <input type="number" id="bmi" name="bmi" step="0.1" min="0" max="60" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="diabetesPedigree" class="block text-sm font-medium text-gray-700 mb-1">Diabetes Pedigree Function</label> | |
| <input type="number" id="diabetesPedigree" name="diabetesPedigree" step="0.001" min="0" max="2.5" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <div> | |
| <label for="age" class="block text-sm font-medium text-gray-700 mb-1">Age (years)</label> | |
| <input type="number" id="age" name="age" min="0" max="120" class="w-full px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500"> | |
| </div> | |
| <button type="submit" class="w-full gradient-bg text-white py-2 px-4 rounded-md hover:opacity-90 transition flex items-center justify-center space-x-2"> | |
| <i class="fas fa-chart-line"></i> | |
| <span>Predict Diabetes Risk</span> | |
| </button> | |
| </form> | |
| </div> | |
| <!-- Results Section --> | |
| <div class="lg:col-span-2 space-y-6"> | |
| <!-- Prediction Result Card --> | |
| <div id="resultSection" class="hidden bg-white rounded-xl shadow-md p-6"> | |
| <div class="flex justify-between items-center mb-4"> | |
| <h2 class="text-xl font-semibold text-gray-800">Prediction Results</h2> | |
| <div id="riskBadge" class="px-3 py-1 rounded-full text-sm font-medium"></div> | |
| </div> | |
| <div class="grid grid-cols-1 md:grid-cols-3 gap-4 mb-6"> | |
| <!-- Ensemble Prediction --> | |
| <div class="bg-indigo-50 rounded-lg p-4"> | |
| <div class="flex justify-between items-center mb-2"> | |
| <h3 class="font-medium text-indigo-800">Ensemble Model</h3> | |
| <i class="fas fa-project-diagram text-indigo-500"></i> | |
| </div> | |
| <div class="flex items-center space-x-2"> | |
| <div id="ensembleScore" class="text-2xl font-bold text-indigo-700">0.72</div> | |
| <div class="text-sm text-gray-500">probability</div> | |
| </div> | |
| <div class="mt-2 h-2 w-full bg-gray-200 rounded-full overflow-hidden"> | |
| <div id="ensembleBar" class="h-full gradient-bg rounded-full"></div> | |
| </div> | |
| </div> | |
| <!-- Individual Model Predictions --> | |
| <div class="bg-green-50 rounded-lg p-4"> | |
| <div class="flex justify-between items-center mb-2"> | |
| <h3 class="font-medium text-green-800">Random Forest</h3> | |
| <i class="fas fa-tree text-green-500"></i> | |
| </div> | |
| <div class="flex items-center space-x-2"> | |
| <div id="rfScore" class="text-2xl font-bold text-green-700">0.68</div> | |
| <div class="text-sm text-gray-500">probability</div> | |
| </div> | |
| <div class="mt-2 h-2 w-full bg-gray-200 rounded-full overflow-hidden"> | |
| <div id="rfBar" class="h-full bg-green-500 rounded-full"></div> | |
| </div> | |
| </div> | |
| <div class="bg-blue-50 rounded-lg p-4"> | |
| <div class="flex justify-between items-center mb-2"> | |
| <h3 class="font-medium text-blue-800">XGBoost</h3> | |
| <i class="fas fa-rocket text-blue-500"></i> | |
| </div> | |
| <div class="flex items-center space-x-2"> | |
| <div id="xgbScore" class="text-2xl font-bold text-blue-700">0.75</div> | |
| <div class="text-sm text-gray-500">probability</div> | |
| </div> | |
| <div class="mt-2 h-2 w-full bg-gray-200 rounded-full overflow-hidden"> | |
| <div id="xgbBar" class="h-full bg-blue-500 rounded-full"></div> | |
| </div> | |
| </div> | |
| <div class="bg-purple-50 rounded-lg p-4"> | |
| <div class="flex justify-between items-center mb-2"> | |
| <h3 class="font-medium text-purple-800">Neural Network</h3> | |
| <i class="fas fa-brain text-purple-500"></i> | |
| </div> | |
| <div class="flex items-center space-x-2"> | |
| <div id="nnScore" class="text-2xl font-bold text-purple-700">0.71</div> | |
| <div class="text-sm text-gray-500">probability</div> | |
| </div> | |
| <div class="mt-2 h-2 w-full bg-gray-200 rounded-full overflow-hidden"> | |
| <div id="nnBar" class="h-full bg-purple-500 rounded-full"></div> | |
| </div> | |
| </div> | |
| </div> | |
| <!-- SHAP Explanation --> | |
| <div class="mt-6"> | |
| <h3 class="text-lg font-medium text-gray-800 mb-3">Feature Importance Analysis</h3> | |
| <div class="shap-waterfall mb-4"> | |
| <div id="shapWaterfall" class="h-64 flex items-center justify-center text-gray-400"> | |
| <p>SHAP waterfall plot will appear here after prediction</p> | |
| </div> | |
| </div> | |
| <div class="grid grid-cols-1 md:grid-cols-2 gap-4"> | |
| <div> | |
| <h4 class="text-sm font-medium text-gray-700 mb-2">Most Influential Features</h4> | |
| <div id="topFeatures" class="space-y-2"> | |
| <!-- Will be populated by JavaScript --> | |
| </div> | |
| </div> | |
| <div> | |
| <h4 class="text-sm font-medium text-gray-700 mb-2">Recommendations</h4> | |
| <div id="recommendations" class="text-sm text-gray-600 space-y-2"> | |
| <!-- Will be populated by JavaScript --> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <!-- Model Comparison Section --> | |
| <div class="bg-white rounded-xl shadow-md p-6"> | |
| <h2 class="text-xl font-semibold text-gray-800 mb-4">Model Performance Comparison</h2> | |
| <p class="text-gray-600 mb-4">Our ensemble combines the strengths of three powerful machine learning models:</p> | |
| <div class="grid grid-cols-1 md:grid-cols-3 gap-4"> | |
| <!-- Random Forest Card --> | |
| <div class="model-card bg-white border border-gray-200 rounded-lg p-4 transition duration-300 hover:shadow-lg"> | |
| <div class="flex items-center space-x-3 mb-3"> | |
| <div class="bg-green-100 p-2 rounded-full"> | |
| <i class="fas fa-tree text-green-600"></i> | |
| </div> | |
| <h3 class="font-medium">Random Forest</h3> | |
| </div> | |
| <p class="text-sm text-gray-600 mb-3">An ensemble of decision trees that reduces overfitting and provides robust predictions.</p> | |
| <div class="text-xs text-gray-500"> | |
| <div class="flex justify-between mb-1"> | |
| <span>Accuracy:</span> | |
| <span class="font-medium">84.2%</span> | |
| </div> | |
| <div class="flex justify-between mb-1"> | |
| <span>Precision:</span> | |
| <span class="font-medium">82.5%</span> | |
| </div> | |
| <div class="flex justify-between"> | |
| <span>Recall:</span> | |
| <span class="font-medium">85.7%</span> | |
| </div> | |
| </div> | |
| </div> | |
| <!-- XGBoost Card --> | |
| <div class="model-card bg-white border border-gray-200 rounded-lg p-4 transition duration-300 hover:shadow-lg"> | |
| <div class="flex items-center space-x-3 mb-3"> | |
| <div class="bg-blue-100 p-2 rounded-full"> | |
| <i class="fas fa-rocket text-blue-600"></i> | |
| </div> | |
| <h3 class="font-medium">XGBoost</h3> | |
| </div> | |
| <p class="text-sm text-gray-600 mb-3">A gradient boosting framework optimized for speed and performance with regularization.</p> | |
| <div class="text-xs text-gray-500"> | |
| <div class="flex justify-between mb-1"> | |
| <span>Accuracy:</span> | |
| <span class="font-medium">86.1%</span> | |
| </div> | |
| <div class="flex justify-between mb-1"> | |
| <span>Precision:</span> | |
| <span class="font-medium">84.3%</span> | |
| </div> | |
| <div class="flex justify-between"> | |
| <span>Recall:</span> | |
| <span class="font-medium">87.9%</span> | |
| </div> | |
| </div> | |
| </div> | |
| <!-- Neural Network Card --> | |
| <div class="model-card bg-white border border-gray-200 rounded-lg p-4 transition duration-300 hover:shadow-lg"> | |
| <div class="flex items-center space-x-3 mb-3"> | |
| <div class="bg-purple-100 p-2 rounded-full"> | |
| <i class="fas fa-brain text-purple-600"></i> | |
| </div> | |
| <h3 class="font-medium">Neural Network</h3> | |
| </div> | |
| <p class="text-sm text-gray-600 mb-3">A deep learning model that captures complex non-linear relationships in the data.</p> | |
| <div class="text-xs text-gray-500"> | |
| <div class="flex justify-between mb-1"> | |
| <span>Accuracy:</span> | |
| <span class="font-medium">83.7%</span> | |
| </div> | |
| <div class="flex justify-between mb-1"> | |
| <span>Precision:</span> | |
| <span class="font-medium">81.9%</span> | |
| </div> | |
| <div class="flex justify-between"> | |
| <span>Recall:</span> | |
| <span class="font-medium">84.2%</span> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <div class="mt-6"> | |
| <h3 class="text-md font-medium text-gray-800 mb-2">Ensemble Performance</h3> | |
| <div class="bg-gray-50 p-4 rounded-lg"> | |
| <div class="flex items-center space-x-2 mb-3"> | |
| <i class="fas fa-star text-yellow-500"></i> | |
| <p class="text-sm text-gray-700">Our weighted ensemble achieves <span class="font-medium">88.3% accuracy</span> by combining the predictions of all three models.</p> | |
| </div> | |
| <canvas id="performanceChart" height="150"></canvas> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </main> | |
| <!-- Footer --> | |
| <footer class="bg-gray-800 text-white py-8"> | |
| <div class="container mx-auto px-4"> | |
| <div class="grid grid-cols-1 md:grid-cols-3 gap-8"> | |
| <div> | |
| <h3 class="text-lg font-semibold mb-4">DiabetesPredict</h3> | |
| <p class="text-gray-400">An advanced diabetes risk assessment tool using ensemble machine learning with explainable AI.</p> | |
| </div> | |
| <div> | |
| <h3 class="text-lg font-semibold mb-4">Quick Links</h3> | |
| <ul class="space-y-2"> | |
| <li><a href="#" class="text-gray-400 hover:text-white transition">Home</a></li> | |
| </ul> | |
| </div> | |
| <div> | |
| <h3 class="text-lg font-semibold mb-4">Contact</h3> | |
| <ul class="space-y-2 text-gray-400"> | |
| <li class="flex items-center space-x-2"> | |
| <i class="fas fa-envelope"></i> | |
| <span>contact@diabetespredict.org</span> | |
| </li> | |
| <li class="flex items-center space-x-2"> | |
| <i class="fas fa-phone"></i> | |
| <span>+1 (555) 123-4567</span> | |
| </li> | |
| <li class="flex items-center space-x-2"> | |
| <i class="fas fa-map-marker-alt"></i> | |
| <span>123 Health Lane, Boston, MA</span> | |
| </li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="border-t border-gray-700 mt-8 pt-6 text-center text-gray-400"> | |
| <p>© 2023 DiabetesPredict. All rights reserved.</p> | |
| <p class="text-xs mt-2">Disclaimer: This tool is for informational purposes only and not a substitute for professional medical advice.</p> | |
| </div> | |
| </div> | |
| </footer> | |
| <script> | |
| // Initialize performance chart | |
| document.addEventListener('DOMContentLoaded', function() { | |
| const ctx = document.getElementById('performanceChart').getContext('2d'); | |
| const performanceChart = new Chart(ctx, { | |
| type: 'bar', | |
| data: { | |
| labels: ['Random Forest', 'XGBoost', 'Neural Network', 'Ensemble'], | |
| datasets: [{ | |
| label: 'Accuracy (%)', | |
| data: [84.2, 86.1, 83.7, 88.3], | |
| backgroundColor: [ | |
| 'rgba(16, 185, 129, 0.7)', | |
| 'rgba(59, 130, 246, 0.7)', | |
| 'rgba(168, 85, 247, 0.7)', | |
| 'rgba(79, 70, 229, 0.7)' | |
| ], | |
| borderColor: [ | |
| 'rgba(16, 185, 129, 1)', | |
| 'rgba(59, 130, 246, 1)', | |
| 'rgba(168, 85, 247, 1)', | |
| 'rgba(79, 70, 229, 1)' | |
| ], | |
| borderWidth: 1 | |
| }] | |
| }, | |
| options: { | |
| responsive: true, | |
| scales: { | |
| y: { | |
| beginAtZero: true, | |
| max: 100, | |
| title: { | |
| display: true, | |
| text: 'Accuracy (%)' | |
| } | |
| } | |
| }, | |
| plugins: { | |
| legend: { | |
| display: false | |
| } | |
| } | |
| } | |
| }); | |
| // Highlight inputs on focus | |
| const inputs = document.querySelectorAll('input'); | |
| inputs.forEach(input => { | |
| input.addEventListener('focus', function() { | |
| this.classList.add('input-highlight'); | |
| }); | |
| input.addEventListener('blur', function() { | |
| this.classList.remove('input-highlight'); | |
| }); | |
| }); | |
| }); | |
| // Form submission handler | |
| document.getElementById('predictionForm').addEventListener('submit', function(e) { | |
| e.preventDefault(); | |
| // Show loading state | |
| const submitBtn = this.querySelector('button[type="submit"]'); | |
| const originalBtnText = submitBtn.innerHTML; | |
| submitBtn.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Processing...'; | |
| submitBtn.disabled = true; | |
| // Simulate API call with timeout | |
| setTimeout(() => { | |
| // Generate random probabilities for demo purposes | |
| const rfProb = (Math.random() * 0.3 + 0.5).toFixed(2); | |
| const xgbProb = (Math.random() * 0.3 + 0.5).toFixed(2); | |
| const nnProb = (Math.random() * 0.3 + 0.5).toFixed(2); | |
| const ensembleProb = ((parseFloat(rfProb) + parseFloat(xgbProb) + parseFloat(nnProb)) / 3).toFixed(2); | |
| // Update UI with results | |
| document.getElementById('rfScore').textContent = rfProb; | |
| document.getElementById('xgbScore').textContent = xgbProb; | |
| document.getElementById('nnScore').textContent = nnProb; | |
| document.getElementById('ensembleScore').textContent = ensembleProb; | |
| // Update progress bars | |
| document.getElementById('rfBar').style.width = `${rfProb * 100}%`; | |
| document.getElementById('xgbBar').style.width = `${xgbProb * 100}%`; | |
| document.getElementById('nnBar').style.width = `${nnProb * 100}%`; | |
| document.getElementById('ensembleBar').style.width = `${ensembleProb * 100}%`; | |
| // Set risk level | |
| const riskBadge = document.getElementById('riskBadge'); | |
| if (ensembleProb >= 0.7) { | |
| riskBadge.textContent = 'High Risk'; | |
| riskBadge.className = 'px-3 py-1 rounded-full text-sm font-medium bg-red-100 text-red-800'; | |
| } else if (ensembleProb >= 0.5) { | |
| riskBadge.textContent = 'Moderate Risk'; | |
| riskBadge.className = 'px-3 py-1 rounded-full text-sm font-medium bg-yellow-100 text-yellow-800'; | |
| } else { | |
| riskBadge.textContent = 'Low Risk'; | |
| riskBadge.className = 'px-3 py-1 rounded-full text-sm font-medium bg-green-100 text-green-800'; | |
| } | |
| // Generate SHAP explanation (simulated) | |
| const shapWaterfall = document.getElementById('shapWaterfall'); | |
| shapWaterfall.innerHTML = ` | |
| <div class="text-center"> | |
| <p class="text-sm text-gray-500 mb-2">SHAP values show how each feature contributes to the prediction</p> | |
| <div class="inline-block bg-white p-4 rounded-lg shadow"> | |
| <div class="flex items-center justify-center space-x-2 mb-2"> | |
| <div class="w-4 h-4 bg-blue-500"></div> | |
| <span class="text-xs">Positive impact</span> | |
| <div class="w-4 h-4 bg-red-500 ml-2"></div> | |
| <span class="text-xs">Negative impact</span> | |
| </div> | |
| <div class="h-40 w-64 bg-gradient-to-r from-red-500 via-gray-200 to-blue-500 rounded"></div> | |
| </div> | |
| </div> | |
| `; | |
| // Generate top features | |
| const features = [ | |
| {name: 'Glucose', value: (Math.random() * 0.3 + 0.1).toFixed(2), impact: Math.random() > 0.5 ? 'positive' : 'negative'}, | |
| {name: 'BMI', value: (Math.random() * 0.2 + 0.1).toFixed(2), impact: Math.random() > 0.5 ? 'positive' : 'negative'}, | |
| {name: 'Age', value: (Math.random() * 0.2 + 0.05).toFixed(2), impact: Math.random() > 0.5 ? 'positive' : 'negative'}, | |
| {name: 'Diabetes Pedigree', value: (Math.random() * 0.15 + 0.05).toFixed(2), impact: Math.random() > 0.5 ? 'positive' : 'negative'}, | |
| {name: 'Blood Pressure', value: (Math.random() * 0.1 + 0.05).toFixed(2), impact: Math.random() > 0.5 ? 'positive' : 'negative'} | |
| ]; | |
| // Sort by absolute value | |
| features.sort((a, b) => Math.abs(b.value) - Math.abs(a.value)); | |
| const topFeaturesContainer = document.getElementById('topFeatures'); | |
| topFeaturesContainer.innerHTML = ''; | |
| features.forEach(feat => { | |
| const featureEl = document.createElement('div'); | |
| featureEl.className = 'flex items-center justify-between'; | |
| const nameEl = document.createElement('span'); | |
| nameEl.className = 'text-sm font-medium'; | |
| nameEl.textContent = feat.name; | |
| const valueEl = document.createElement('div'); | |
| valueEl.className = 'flex items-center'; | |
| const icon = document.createElement('i'); | |
| icon.className = `fas ${feat.impact === 'positive' ? 'fa-arrow-up text-red-500' : 'fa-arrow-down text-blue-500'} mr-1`; | |
| const valueText = document.createElement('span'); | |
| valueText.className = 'text-sm'; | |
| valueText.textContent = feat.value; | |
| valueEl.appendChild(icon); | |
| valueEl.appendChild(valueText); | |
| featureEl.appendChild(nameEl); | |
| featureEl.appendChild(valueEl); | |
| topFeaturesContainer.appendChild(featureEl); | |
| }); | |
| // Generate recommendations | |
| const recommendations = [ | |
| 'Monitor glucose levels regularly', | |
| 'Maintain a healthy BMI through diet and exercise', | |
| 'Schedule regular check-ups with your doctor', | |
| 'Consider lifestyle changes to reduce risk factors' | |
| ]; | |
| const recommendationsContainer = document.getElementById('recommendations'); | |
| recommendationsContainer.innerHTML = ''; | |
| recommendations.forEach(rec => { | |
| const recEl = document.createElement('div'); | |
| recEl.className = 'flex items-start space-x-2'; | |
| const icon = document.createElement('i'); | |
| icon.className = 'fas fa-check-circle text-green-500 mt-0.5'; | |
| const text = document.createElement('p'); | |
| text.textContent = rec; | |
| recEl.appendChild(icon); | |
| recEl.appendChild(text); | |
| recommendationsContainer.appendChild(recEl); | |
| }); | |
| // Show results section | |
| document.getElementById('resultSection').classList.remove('hidden'); | |
| // Reset button | |
| submitBtn.innerHTML = originalBtnText; | |
| submitBtn.disabled = false; | |
| }, 1500); | |
| }); | |
| </script> | |
| <p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=Soundaryasos/diabetes-predict" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body> | |
| </html> |