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7c465f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>NeuraPrompt AI - Admin Panel</title>
<script src="https://cdn.tailwindcss.com"></script>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<script type="module" src="https://unpkg.com/ionicons@5.5.2/dist/ionicons/ionicons.esm.js"></script>
<script nomodule src="https://unpkg.com/ionicons@5.5.2/dist/ionicons/ionicons.js"></script>
<style>
body {
font-family: 'Inter', sans-serif;
background-color: #111827; /* bg-gray-900 */
color: #d1d5db; /* text-gray-300 */
}
.sidebar { background-color: #1f2937; /* bg-gray-800 */ }
.sidebar-link { @apply flex items-center p-3 my-1 rounded-lg text-gray-300 hover:bg-gray-700 transition-colors; }
.sidebar-link.active { @apply bg-blue-600 text-white; }
.card { @apply bg-gray-800 p-6 rounded-lg shadow-lg border border-gray-700; }
.input-field { @apply w-full bg-gray-700 border border-gray-600 text-white rounded-lg p-2.5 focus:ring-blue-500 focus:border-blue-500; }
.btn { @apply px-4 py-2 rounded-lg font-semibold transition-colors; }
.btn-primary { @apply bg-blue-600 text-white hover:bg-blue-700; }
.btn-secondary { @apply bg-gray-600 text-white hover:bg-gray-700; }
.btn-danger { @apply bg-red-600 text-white hover:bg-red-700; }
.btn-success { @apply bg-green-600 text-white hover:bg-green-700; }
.toast {
animation: toast-in 0.5s, toast-out 0.5s 4.5s;
@apply fixed bottom-5 right-5 p-4 rounded-lg shadow-lg text-white;
}
.toast.success { @apply bg-green-600; }
.toast.error { @apply bg-red-600; }
@keyframes toast-in { from { transform: translateX(100%); opacity: 0; } to { transform: translateX(0); opacity: 1; } }
@keyframes toast-out { from { transform: translateX(0); opacity: 1; } to { transform: translateX(100%); opacity: 0; } }
</style>
</head>
<body class="flex h-screen">
<!-- Sidebar Navigation -->
<aside class="sidebar w-64 flex-shrink-0 p-4">
<div class="flex items-center gap-3 mb-8">
<ion-icon name="hardware-chip-outline" class="text-3xl text-blue-400"></ion-icon>
<h1 class="text-xl font-bold text-white">NeuraPrompt AI</h1>
</div>
<nav>
<a href="#dashboard" class="sidebar-link active" data-target="dashboard-section">
<ion-icon name="grid-outline" class="mr-3"></ion-icon> Dashboard
</a>
<a href="#image-verification" class="sidebar-link" data-target="image-verification-section">
<ion-icon name="checkbox-outline" class="mr-3"></ion-icon> Image Verification
<span id="pending-count-badge" class="ml-auto bg-yellow-500 text-black text-xs font-bold px-2 py-0.5 rounded-full hidden">0</span>
</a>
<a href="#model-training" class="sidebar-link" data-target="model-training-section">
<ion-icon name="school-outline" class="mr-3"></ion-icon> Model Training
</a>
<a href="#system-management" class="sidebar-link" data-target="system-management-section">
<ion-icon name="server-outline" class="mr-3"></ion-icon> System Management
</a>
</nav>
</aside>
<!-- Main Content -->
<main class="flex-1 p-8 overflow-y-auto">
<!-- Dashboard Section -->
<section id="dashboard-section" class="content-section">
<h2 class="text-3xl font-bold text-white mb-6">Admin Dashboard</h2>
<div class="grid grid-cols-1 md:grid-cols-3 gap-6">
<div class="card">
<h3 class="text-lg font-semibold text-gray-400">Pending Images</h3>
<p id="pending-images-stat" class="text-4xl font-bold text-white mt-2">0</p>
</div>
<div class="card">
<h3 class="text-lg font-semibold text-gray-400">Text AI Model</h3>
<p class="text-4xl font-bold text-white mt-2">Neurones Self</p>
</div>
<div class="card">
<h3 class="text-lg font-semibold text-gray-400">Image AI Model</h3>
<p class="text-4xl font-bold text-white mt-2">Custom Classifier</p>
</div>
</div>
</section>
<!-- Image Verification Section -->
<section id="image-verification-section" class="content-section hidden">
<div class="flex justify-between items-center mb-6">
<h2 class="text-3xl font-bold text-white">Image Verification Queue</h2>
<button id="refresh-pending-btn" class="btn btn-secondary flex items-center gap-2">
<ion-icon name="refresh-outline"></ion-icon> Refresh
</button>
</div>
<div id="pending-images-container" class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4 gap-6">
<!-- Pending images will be loaded here -->
<p id="no-pending-message">No images pending verification.</p>
</div>
</section>
<!-- Model Training Section -->
<section id="model-training-section" class="content-section hidden">
<h2 class="text-3xl font-bold text-white mb-6">Model Training</h2>
<div class="grid grid-cols-1 lg:grid-cols-2 gap-8">
<!-- Manual Text Model Training -->
<div class="card">
<h3 class="text-xl font-semibold mb-4">Manual Text Model Training</h3>
<form id="train-text-form" class="space-y-4">
<div>
<label for="prompt" class="block mb-2 text-sm font-medium">User Prompt</label>
<textarea id="prompt" name="prompt" rows="3" class="input-field" required></textarea>
</div>
<div>
<label for="reply" class="block mb-2 text-sm font-medium">AI Reply</label>
<textarea id="reply" name="reply" rows="3" class="input-field" required></textarea>
</div>
<div>
<label for="model_name_text" class="block mb-2 text-sm font-medium">Model</label>
<select id="model_name_text" name="model_name" class="input-field">
<option value="neurones_self">Neurones Self</option>
</select>
</div>
<button type="submit" class="btn btn-primary w-full">Train Text Model</button>
</form>
</div>
<!-- Custom Image Model Training -->
<div class="card">
<h3 class="text-xl font-semibold mb-4">Custom Image Model Training</h3>
<p class="text-gray-400 mb-4">Trigger a training run using all approved images in the dataset. This can take some time.</p>
<button id="train-image-btn" class="btn btn-primary w-full">Start Image Model Training</button>
</div>
</div>
</section>
<!-- System Management Section -->
<section id="system-management-section" class="content-section hidden">
<h2 class="text-3xl font-bold text-white mb-6">System Management</h2>
<div class="card border-red-500/50">
<h3 class="text-xl font-semibold text-red-400 mb-2">Danger Zone</h3>
<p class="text-gray-400 mb-4">These actions are irreversible. Please be certain before proceeding.</p>
<form id="reset-ai-form" class="flex items-center gap-4">
<select id="model_name_reset" name="model_name" class="input-field">
<option value="neurones_self">Neurones Self</option>
</select>
<button type="submit" class="btn btn-danger flex-shrink-0">Reset AI Model</button>
</form>
</div>
</section>
</main>
<div id="toast-container"></div>
<script>
const API_BASE_URL = window.location.origin;
// --- Navigation Logic ---
const navLinks = document.querySelectorAll('.sidebar-link');
const contentSections = document.querySelectorAll('.content-section');
navLinks.forEach(link => {
link.addEventListener('click', (e) => {
e.preventDefault();
const targetId = link.getAttribute('data-target');
navLinks.forEach(l => l.classList.remove('active'));
link.classList.add('active');
contentSections.forEach(section => {
section.classList.add('hidden');
if (section.id === targetId) {
section.classList.remove('hidden');
}
});
if (targetId === 'image-verification-section') {
loadPendingImages();
}
});
});
// --- Toast Notifications ---
function showToast(message, type = 'success') {
const toastContainer = document.getElementById('toast-container');
const toast = document.createElement('div');
toast.className = `toast ${type}`;
toast.textContent = message;
toastContainer.appendChild(toast);
setTimeout(() => toast.remove(), 5000);
}
// --- Image Verification Logic ---
const pendingContainer = document.getElementById('pending-images-container');
const noPendingMessage = document.getElementById('no-pending-message');
const pendingBadge = document.getElementById('pending-count-badge');
const pendingStat = document.getElementById('pending-images-stat');
async function loadPendingImages() {
try {
const response = await fetch(`${API_BASE_URL}/admin/pending-images`);
if (!response.ok) throw new Error('Failed to fetch pending images.');
const images = await response.json();
pendingContainer.innerHTML = '';
if (images.length === 0) {
pendingContainer.appendChild(noPendingMessage);
noPendingMessage.classList.remove('hidden');
} else {
noPendingMessage.classList.add('hidden');
}
pendingBadge.textContent = images.length;
pendingStat.textContent = images.length;
pendingBadge.classList.toggle('hidden', images.length === 0);
images.forEach(image => {
const card = document.createElement('div');
card.className = 'card space-y-3';
card.innerHTML = `
<img src="data:${image.content_type};base64,${image.image_data_b64}" class="rounded-md w-full h-40 object-cover">
<div>
<label class="text-xs text-gray-400">User Label</label>
<p class="font-semibold">${image.user_label}</p>
</div>
<div class="flex gap-2 pt-2">
<button class="btn btn-success w-full" onclick="handleImageAction('${image.id}', 'approve')">Approve</button>
<button class="btn btn-danger w-full" onclick="handleImageAction('${image.id}', 'reject')">Reject</button>
</div>
`;
pendingContainer.appendChild(card);
});
} catch (error) {
showToast(error.message, 'error');
}
}
async function handleImageAction(id, action) {
const endpoint = action === 'approve' ? `/admin/approve-image/${id}` : `/admin/reject-image/${id}`;
try {
const response = await fetch(`${API_BASE_URL}${endpoint}`, { method: 'POST' });
const result = await response.json();
if (!response.ok) throw new Error(result.detail);
showToast(result.message, 'success');
loadPendingImages(); // Refresh the list
} catch (error) {
showToast(error.message, 'error');
}
}
document.getElementById('refresh-pending-btn').addEventListener('click', loadPendingImages);
// --- Model Training Logic ---
document.getElementById('train-text-form').addEventListener('submit', async (e) => {
e.preventDefault();
const formData = new FormData(e.target);
try {
const response = await fetch(`${API_BASE_URL}/admin/train/`, {
method: 'POST',
body: formData
});
const result = await response.json();
if (!response.ok) throw new Error(result.detail);
showToast(result.message, 'success');
e.target.reset();
} catch (error) {
showToast(error.message, 'error');
}
});
document.getElementById('train-image-btn').addEventListener('click', async () => {
if (!confirm('Are you sure you want to start image model training? This may take several minutes and consume resources.')) return;
showToast('Starting image model training...', 'success');
try {
const response = await fetch(`${API_BASE_URL}/admin/train-image-model/`, { method: 'POST' });
const result = await response.json();
if (!response.ok) throw new Error(result.detail);
showToast(`Training complete! Accuracy: ${result.final_validation_accuracy}`, 'success');
} catch (error) {
showToast(error.message, 'error');
}
});
// --- System Management Logic ---
document.getElementById('reset-ai-form').addEventListener('submit', async (e) => {
e.preventDefault();
const modelName = document.getElementById('model_name_reset').value;
if (!confirm(`Are you absolutely sure you want to reset the '${modelName}' AI model? All its training data will be permanently deleted.`)) return;
try {
const response = await fetch(`${API_BASE_URL}/admin/reset-ai/?model_name=${modelName}`, { method: 'POST' });
const result = await response.json();
if (!response.ok) throw new Error(result.detail);
showToast(result.message, 'success');
} catch (error) {
showToast(error.message, 'error');
}
});
// Initial Load
window.onload = () => {
loadPendingImages();
};
</script>
</body>
</html>
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