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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>DeepFaceLab Linux Web UI</title>
+    <!-- Google Fonts -->
+    <link rel="preconnect" href="https://fonts.googleapis.com">
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+    <link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;500;600;700&family=Inter:wght@300;400;500;600&family=Fira+Code:wght@400;500&display=swap" rel="stylesheet">
+    <!-- FontAwesome for Icons -->
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
+    
+    <style>
+        :root {
+            --bg-base: #0a0b10;
+            --bg-surface: #121420;
+            --bg-surface-elevated: #1a1d2f;
+            --border-color: #24293e;
+            --text-primary: #f3f4f6;
+            --text-secondary: #9ca3af;
+            --primary: #06b6d4; /* Cyber Cyan */
+            --primary-glow: rgba(6, 182, 212, 0.15);
+            --secondary: #8b5cf6; /* Laser Violet */
+            --secondary-glow: rgba(139, 92, 246, 0.15);
+            --success: #10b981; /* Emerald Green */
+            --danger: #ef4444; /* Crimson Red */
+            --warning: #f59e0b; /* Amber */
+            --terminal-bg: #050508;
+            --transition-smooth: all 0.3s cubic-bezier(0.4, 0, 0.2, 1);
+        }
+
+        * {
+            box-sizing: border-box;
+            margin: 0;
+            padding: 0;
+        }
+
+        body {
+            background-color: var(--bg-base);
+            color: var(--text-primary);
+            font-family: 'Inter', sans-serif;
+            min-height: 100vh;
+            display: flex;
+            flex-direction: column;
+            overflow-x: hidden;
+        }
+
+        h1, h2, h3, h4, h5, h6 {
+            font-family: 'Outfit', sans-serif;
+            font-weight: 600;
+        }
+
+        /* Custom Scrollbars */
+        ::-webkit-scrollbar {
+            width: 6px;
+            height: 6px;
+        }
+        ::-webkit-scrollbar-track {
+            background: var(--bg-base);
+        }
+        ::-webkit-scrollbar-thumb {
+            background: var(--border-color);
+            border-radius: 3px;
+        }
+        ::-webkit-scrollbar-thumb:hover {
+            background: var(--primary);
+        }
+
+        /* Glassmorphism Header */
+        header {
+            background: rgba(18, 20, 32, 0.75);
+            backdrop-filter: blur(12px);
+            border-bottom: 1px solid var(--border-color);
+            padding: 1rem 2rem;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            position: sticky;
+            top: 0;
+            z-index: 100;
+        }
+
+        .header-title-container {
+            display: flex;
+            align-items: center;
+            gap: 0.75rem;
+        }
+
+        .header-logo {
+            font-size: 1.75rem;
+            background: linear-gradient(135deg, var(--primary), var(--secondary));
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+            font-family: 'Outfit', sans-serif;
+            font-weight: 700;
+            letter-spacing: -0.5px;
+        }
+
+        .header-status-badge {
+            background: rgba(255, 255, 255, 0.05);
+            border: 1px solid var(--border-color);
+            padding: 0.35rem 0.75rem;
+            border-radius: 50px;
+            font-size: 0.75rem;
+            display: flex;
+            align-items: center;
+            gap: 0.5rem;
+            font-weight: 500;
+        }
+
+        .status-dot {
+            width: 8px;
+            height: 8px;
+            border-radius: 50%;
+            background: var(--text-secondary);
+        }
+
+        .status-dot.active {
+            background: var(--success);
+            box-shadow: 0 0 10px var(--success);
+            animation: pulse 1.5s infinite;
+        }
+
+        @keyframes pulse {
+            0% { opacity: 0.4; }
+            50% { opacity: 1; }
+            100% { opacity: 0.4; }
+        }
+
+        /* Layout Grid */
+        .app-container {
+            flex: 1;
+            display: grid;
+            grid-template-columns: 320px 1fr;
+            max-width: 1800px;
+            margin: 0 auto;
+            width: 100%;
+            gap: 1.5rem;
+            padding: 1.5rem;
+        }
+
+        @media (max-width: 1024px) {
+            .app-container {
+                grid-template-columns: 1fr;
+            }
+        }
+
+        /* Sidebar Navigation & Steps */
+        .sidebar {
+            display: flex;
+            flex-direction: column;
+            gap: 1.5rem;
+        }
+
+        .card {
+            background: var(--bg-surface);
+            border: 1px solid var(--border-color);
+            border-radius: 16px;
+            padding: 1.25rem;
+            box-shadow: 0 4px 20px rgba(0,0,0,0.25);
+            transition: var(--transition-smooth);
+        }
+
+        .card:hover {
+            border-color: rgba(6, 182, 212, 0.3);
+        }
+
+        .card-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 1rem;
+            padding-bottom: 0.5rem;
+            border-bottom: 1px solid rgba(255,255,255,0.05);
+        }
+
+        .card-title {
+            font-size: 1rem;
+            font-weight: 600;
+            display: flex;
+            align-items: center;
+            gap: 0.5rem;
+            color: var(--text-primary);
+        }
+
+        /* Step List (Timeline-style) */
+        .step-list {
+            list-style: none;
+            display: flex;
+            flex-direction: column;
+            gap: 0.75rem;
+        }
+
+        .step-item {
+            cursor: pointer;
+            padding: 0.75rem 1rem;
+            border-radius: 10px;
+            background: rgba(255,255,255,0.02);
+            border: 1px solid transparent;
+            transition: var(--transition-smooth);
+            display: flex;
+            align-items: center;
+            justify-content: space-between;
+        }
+
+        .step-item:hover {
+            background: rgba(6, 182, 212, 0.05);
+            border-color: rgba(6, 182, 212, 0.15);
+            transform: translateX(4px);
+        }
+
+        .step-item.active {
+            background: var(--primary-glow);
+            border-color: var(--primary);
+            color: var(--primary);
+        }
+
+        .step-info {
+            display: flex;
+            align-items: center;
+            gap: 0.75rem;
+        }
+
+        .step-number {
+            width: 24px;
+            height: 24px;
+            border-radius: 50%;
+            background: rgba(255,255,255,0.05);
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            font-size: 0.75rem;
+            font-weight: 600;
+            border: 1px solid var(--border-color);
+        }
+
+        .step-item.active .step-number {
+            background: var(--primary);
+            color: var(--bg-base);
+            border-color: var(--primary);
+        }
+
+        .step-name {
+            font-size: 0.85rem;
+            font-weight: 500;
+        }
+
+        /* Workspace Stats Card */
+        .stats-grid {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 0.75rem;
+        }
+
+        .stat-box {
+            background: rgba(255,255,255,0.02);
+            border: 1px solid var(--border-color);
+            border-radius: 10px;
+            padding: 0.75rem;
+            text-align: center;
+        }
+
+        .stat-value {
+            font-size: 1.25rem;
+            font-weight: 700;
+            color: var(--primary);
+            font-family: 'Outfit', sans-serif;
+            margin-top: 0.25rem;
+        }
+
+        .stat-label {
+            font-size: 0.65rem;
+            color: var(--text-secondary);
+            text-transform: uppercase;
+            letter-spacing: 0.5px;
+        }
+
+        /* Main Panel */
+        .main-content {
+            display: flex;
+            flex-direction: column;
+            gap: 1.5rem;
+        }
+
+        /* Script Browser */
+        .script-browser-grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fill, minmax(260px, 1fr));
+            gap: 1rem;
+        }
+
+        .script-card {
+            background: var(--bg-surface-elevated);
+            border: 1px solid var(--border-color);
+            border-radius: 12px;
+            padding: 1rem;
+            display: flex;
+            flex-direction: column;
+            justify-content: space-between;
+            gap: 0.75rem;
+            transition: var(--transition-smooth);
+        }
+
+        .script-card:hover {
+            border-color: var(--secondary);
+            transform: translateY(-2px);
+            box-shadow: 0 4px 15px rgba(139, 92, 246, 0.1);
+        }
+
+        .script-details {
+            display: flex;
+            flex-direction: column;
+            gap: 0.35rem;
+        }
+
+        .script-name {
+            font-size: 0.9rem;
+            font-weight: 600;
+            color: var(--text-primary);
+        }
+
+        .script-desc {
+            font-size: 0.75rem;
+            color: var(--text-secondary);
+            line-height: 1.4;
+        }
+
+        .script-file {
+            font-family: 'Fira Code', monospace;
+            font-size: 0.65rem;
+            background: rgba(0,0,0,0.25);
+            padding: 0.2rem 0.4rem;
+            border-radius: 4px;
+            border: 1px solid rgba(255,255,255,0.03);
+            width: fit-content;
+            color: var(--primary);
+        }
+
+        .btn-run {
+            background: linear-gradient(135deg, var(--primary), var(--secondary));
+            color: var(--text-primary);
+            border: none;
+            padding: 0.5rem 1rem;
+            border-radius: 8px;
+            font-size: 0.8rem;
+            font-weight: 600;
+            cursor: pointer;
+            transition: var(--transition-smooth);
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            gap: 0.5rem;
+            width: 100%;
+        }
+
+        .btn-run:hover {
+            opacity: 0.95;
+            box-shadow: 0 4px 12px rgba(6, 182, 212, 0.3);
+        }
+
+        /* Interactive Console / Terminal */
+        .terminal-card {
+            flex: 1;
+            min-height: 400px;
+            display: flex;
+            flex-direction: column;
+            background: var(--terminal-bg);
+            border: 1px solid #1f2937;
+            border-radius: 16px;
+            overflow: hidden;
+            box-shadow: inset 0 0 20px rgba(0,0,0,0.8);
+        }
+
+        .terminal-header {
+            background: #0f111a;
+            border-bottom: 1px solid #1f2937;
+            padding: 0.75rem 1.25rem;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+
+        .terminal-dots {
+            display: flex;
+            gap: 6px;
+        }
+
+        .terminal-dot {
+            width: 10px;
+            height: 10px;
+            border-radius: 50%;
+        }
+        .terminal-dot.red { background: #ff5f56; }
+        .terminal-dot.yellow { background: #ffbd2e; }
+        .terminal-dot.green { background: #27c93f; }
+
+        .terminal-title {
+            font-family: 'Fira Code', monospace;
+            font-size: 0.75rem;
+            color: var(--text-secondary);
+        }
+
+        .terminal-controls {
+            display: flex;
+            gap: 0.5rem;
+        }
+
+        .btn-stop {
+            background: var(--danger);
+            color: white;
+            border: none;
+            padding: 0.35rem 0.75rem;
+            border-radius: 6px;
+            font-size: 0.75rem;
+            font-weight: 600;
+            cursor: pointer;
+            display: flex;
+            align-items: center;
+            gap: 0.35rem;
+            transition: var(--transition-smooth);
+        }
+
+        .btn-stop:hover {
+            background: #dc2626;
+            box-shadow: 0 0 10px rgba(239, 68, 68, 0.4);
+        }
+
+        .btn-stop:disabled {
+            background: #374151;
+            color: #9ca3af;
+            cursor: not-allowed;
+            box-shadow: none;
+        }
+
+        .terminal-body {
+            flex: 1;
+            padding: 1.25rem;
+            overflow-y: auto;
+            font-family: 'Fira Code', 'Courier New', monospace;
+            font-size: 0.85rem;
+            color: #d1d5db;
+            line-height: 1.5;
+            white-space: pre-wrap;
+            word-break: break-all;
+        }
+
+        .terminal-input-bar {
+            background: #0d0f17;
+            border-top: 1px solid #1f2937;
+            display: flex;
+            align-items: center;
+            padding: 0.5rem 1rem;
+        }
+
+        .terminal-prompt {
+            font-family: 'Fira Code', monospace;
+            color: var(--success);
+            margin-right: 0.5rem;
+            font-size: 0.85rem;
+        }
+
+        .terminal-input {
+            flex: 1;
+            background: transparent;
+            border: none;
+            color: white;
+            font-family: 'Fira Code', monospace;
+            font-size: 0.85rem;
+            outline: none;
+        }
+
+        /* Model Training Live Preview Section */
+        .preview-card {
+            background: var(--bg-surface);
+        }
+
+        .preview-gallery {
+            display: grid;
+            grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+            gap: 1rem;
+            margin-top: 0.5rem;
+        }
+
+        .preview-img-container {
+            border: 1px solid var(--border-color);
+            border-radius: 12px;
+            overflow: hidden;
+            background: rgba(0,0,0,0.3);
+            position: relative;
+            aspect-ratio: 1/1;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            transition: var(--transition-smooth);
+        }
+
+        .preview-img-container:hover {
+            border-color: var(--primary);
+        }
+
+        .preview-img {
+            max-width: 100%;
+            max-height: 100%;
+            object-fit: contain;
+        }
+
+        .preview-meta {
+            position: absolute;
+            bottom: 0;
+            left: 0;
+            right: 0;
+            background: rgba(0,0,0,0.7);
+            backdrop-filter: blur(4px);
+            padding: 0.5rem;
+            font-size: 0.65rem;
+            color: var(--text-primary);
+            text-align: center;
+            border-top: 1px solid rgba(255,255,255,0.05);
+        }
+
+        .no-preview-text {
+            color: var(--text-secondary);
+            font-size: 0.8rem;
+            text-align: center;
+            width: 100%;
+            padding: 2rem 0;
+            grid-column: 1 / -1;
+        }
+
+        /* Video Upload Section */
+        .upload-section {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 1rem;
+        }
+
+        @media (max-width: 640px) {
+            .upload-section {
+                grid-template-columns: 1fr;
+            }
+        }
+
+        .upload-box {
+            border: 2px dashed var(--border-color);
+            border-radius: 12px;
+            padding: 1.5rem;
+            text-align: center;
+            cursor: pointer;
+            background: rgba(255,255,255,0.01);
+            transition: var(--transition-smooth);
+            position: relative;
+        }
+
+        .upload-box:hover {
+            border-color: var(--primary);
+            background: rgba(6, 182, 212, 0.02);
+        }
+
+        .upload-box input {
+            position: absolute;
+            top: 0;
+            left: 0;
+            width: 100%;
+            height: 100%;
+            opacity: 0;
+            cursor: pointer;
+        }
+
+        .upload-icon {
+            font-size: 1.75rem;
+            color: var(--text-secondary);
+            margin-bottom: 0.5rem;
+        }
+
+        .upload-title {
+            font-size: 0.85rem;
+            font-weight: 600;
+            margin-bottom: 0.25rem;
+        }
+
+        .upload-desc {
+            font-size: 0.7rem;
+            color: var(--text-secondary);
+        }
+
+        .upload-progress {
+            margin-top: 0.75rem;
+            height: 4px;
+            background: var(--border-color);
+            border-radius: 2px;
+            overflow: hidden;
+            display: none;
+        }
+
+        .upload-progress-bar {
+            height: 100%;
+            background: var(--primary);
+            width: 0%;
+            transition: width 0.1s ease;
+        }
+
+        /* Monitor panels */
+        .monitor-panel {
+            display: flex;
+            gap: 1rem;
+            flex-wrap: wrap;
+        }
+
+        .monitor-item {
+            background: rgba(255,255,255,0.02);
+            border: 1px solid var(--border-color);
+            border-radius: 8px;
+            padding: 0.5rem 0.75rem;
+            font-size: 0.75rem;
+            display: flex;
+            align-items: center;
+            gap: 0.5rem;
+        }
+
+        .monitor-label {
+            color: var(--text-secondary);
+        }
+
+        .monitor-value {
+            font-weight: 600;
+            color: var(--text-primary);
+        }
+    </style>
+</head>
+<body>
+
+    <header>
+        <div class="header-title-container">
+            <span class="header-logo"><i class="fa-solid fa-brain"></i> DeepFaceLab</span>
+            <div class="header-status-badge">
+                <span id="status-dot" class="status-dot"></span>
+                <span id="status-text">Checking server...</span>
+            </div>
+        </div>
+        
+        <div class="monitor-panel" id="monitor-panel">
+            <!-- Dynamic system info will render here -->
+        </div>
+    </header>
+
+    <div class="app-container">
+        <!-- Sidebar Navigation -->
+        <aside class="sidebar">
+            <div class="card">
+                <div class="card-header">
+                    <h2 class="card-title"><i class="fa-solid fa-route"></i> DFL Pipeline</h2>
+                </div>
+                <ul class="step-list">
+                    <li class="step-item active" onclick="switchCategory('workspace', this)">
+                        <div class="step-info">
+                            <span class="step-number">0</span>
+                            <span class="step-name">Workspace Setup</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('src_video', this)">
+                        <div class="step-info">
+                            <span class="step-number">1</span>
+                            <span class="step-name">Source Video</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('dst_video', this)">
+                        <div class="step-info">
+                            <span class="step-number">2</span>
+                            <span class="step-name">Destination Video</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('xseg', this)">
+                        <div class="step-info">
+                            <span class="step-number">3</span>
+                            <span class="step-name">XSeg Labeled Masking</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('pretrain', this)">
+                        <div class="step-info">
+                            <span class="step-number">4</span>
+                            <span class="step-name">Pretrain Weights</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('training', this)">
+                        <div class="step-info">
+                            <span class="step-number">5</span>
+                            <span class="step-name">Model Training</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('merging', this)">
+                        <div class="step-info">
+                            <span class="step-number">6</span>
+                            <span class="step-name">Face Merging</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                    <li class="step-item" onclick="switchCategory('export', this)">
+                        <div class="step-info">
+                            <span class="step-number">7</span>
+                            <span class="step-name">Render & Export</span>
+                        </div>
+                        <i class="fa-solid fa-chevron-right text-secondary"></i>
+                    </li>
+                </ul>
+            </div>
+
+            <!-- Workspace Status -->
+            <div class="card">
+                <div class="card-header">
+                    <h2 class="card-title"><i class="fa-solid fa-database"></i> Workspace Files</h2>
+                </div>
+                <div class="stats-grid">
+                    <div class="stat-box">
+                        <div class="stat-label">Src Frames</div>
+                        <div class="stat-value" id="stat-src-frames">0</div>
+                    </div>
+                    <div class="stat-box">
+                        <div class="stat-label">Src Faces</div>
+                        <div class="stat-value" id="stat-src-faces">0</div>
+                    </div>
+                    <div class="stat-box">
+                        <div class="stat-label">Dst Frames</div>
+                        <div class="stat-value" id="stat-dst-frames">0</div>
+                    </div>
+                    <div class="stat-box">
+                        <div class="stat-label">Dst Faces</div>
+                        <div class="stat-value" id="stat-dst-faces">0</div>
+                    </div>
+                </div>
+            </div>
+        </aside>
+
+        <!-- Main Content Area -->
+        <main class="main-content">
+            <!-- Upload Panel -->
+            <section class="upload-section">
+                <div class="upload-box card">
+                    <div class="upload-icon"><i class="fa-solid fa-cloud-arrow-up"></i></div>
+                    <div class="upload-title">Upload data_src.mp4</div>
+                    <div class="upload-desc">Drag & drop or click to upload source video</div>
+                    <input type="file" onchange="uploadFile(this, 'src')">
+                    <div class="upload-progress" id="progress-src">
+                        <div class="upload-progress-bar" id="progress-bar-src"></div>
+                    </div>
+                </div>
+                <div class="upload-box card">
+                    <div class="upload-icon"><i class="fa-solid fa-cloud-arrow-up"></i></div>
+                    <div class="upload-title">Upload data_dst.mp4</div>
+                    <div class="upload-desc">Drag & drop or click to upload destination video</div>
+                    <input type="file" onchange="uploadFile(this, 'dst')">
+                    <div class="upload-progress" id="progress-dst">
+                        <div class="upload-progress-bar" id="progress-bar-dst"></div>
+                    </div>
+                </div>
+            </section>
+
+            <!-- Script execution launcher -->
+            <section class="card" id="launcher-card">
+                <div class="card-header">
+                    <h2 class="card-title" id="category-title">Workspace Setup</h2>
+                </div>
+                <div class="script-browser-grid" id="script-grid">
+                    <!-- Dynamic scripts list -->
+                </div>
+            </section>
+
+            <!-- Interactive Console -->
+            <section class="terminal-card">
+                <div class="terminal-header">
+                    <div class="terminal-dots">
+                        <span class="terminal-dot red"></span>
+                        <span class="terminal-dot yellow"></span>
+                        <span class="terminal-dot green"></span>
+                    </div>
+                    <div class="terminal-title" id="terminal-process-title">Process: None</div>
+                    <div class="terminal-controls">
+                        <button id="btn-stop" class="btn-stop" disabled onclick="stopScript()">
+                            <i class="fa-solid fa-stop"></i> Kill Script
+                        </button>
+                    </div>
+                </div>
+                <div class="terminal-body" id="terminal-body">
+Waiting for process launch...
+                </div>
+                <div class="terminal-input-bar">
+                    <span class="terminal-prompt">$</span>
+                    <input type="text" id="terminal-input" class="terminal-input" placeholder="Type prompt answer and press Enter..." onkeydown="handleTerminalInput(event)">
+                </div>
+            </section>
+
+            <!-- Live Model Previews -->
+            <section class="card preview-card">
+                <div class="card-header">
+                    <h2 class="card-title"><i class="fa-solid fa-eye"></i> Model Previews & Outputs</h2>
+                    <button onclick="fetchPreviews()" class="btn-run" style="width: auto; padding: 0.35rem 0.75rem;">
+                        <i class="fa-solid fa-rotate"></i> Refresh Previews
+                    </button>
+                </div>
+                <div class="preview-gallery" id="preview-gallery">
+                    <div class="no-preview-text">No previews found. Start training to generate real-time previews.</div>
+                </div>
+            </section>
+        </main>
+    </div>
+
+    <script>
+        let allScripts = {};
+        let activeCategory = 'workspace';
+        let isRunning = false;
+        let lastLogs = "";
+        let logInterval = null;
+        let statsInterval = null;
+
+        // Fetch scripts list on start
+        window.addEventListener('DOMContentLoaded', () => {
+            fetch('/api/scripts')
+                .then(r => r.json())
+                .then(data => {
+                    allScripts = data;
+                    renderScripts();
+                });
+            
+            // Poll stats and process details
+            updateSystemStatus();
+            statsInterval = setInterval(updateSystemStatus, 2000);
+            
+            // Initial previews fetch
+            fetchPreviews();
+            setInterval(fetchPreviews, 10000); // refresh previews every 10s
+        });
+
+        function switchCategory(catName, el) {
+            // Update active state in UI list
+            document.querySelectorAll('.step-item').forEach(item => item.classList.remove('active'));
+            if(el) el.classList.add('active');
+            
+            activeCategory = catName;
+            renderScripts();
+        }
+
+        function renderScripts() {
+            const grid = document.getElementById('script-grid');
+            const titleEl = document.getElementById('category-title');
+            grid.innerHTML = "";
+            
+            if(!allScripts[activeCategory]) return;
+            
+            const categoryData = allScripts[activeCategory];
+            titleEl.textContent = categoryData.title;
+            
+            categoryData.scripts.forEach(script => {
+                const card = document.createElement('div');
+                card.className = "script-card";
+                
+                card.innerHTML = `
+                    <div class="script-details">
+                        <span class="script-name">${script.name}</span>
+                        <span class="script-desc">${script.desc}</span>
+                        <span class="script-file">${script.file}</span>
+                    </div>
+                    <button class="btn-run" onclick="runScript('${script.file}')" ${isRunning ? 'disabled style="opacity:0.5; cursor:not-allowed;"' : ''}>
+                        <i class="fa-solid fa-play"></i> Run
+                    </button>
+                `;
+                grid.appendChild(card);
+            });
+        }
+
+        function runScript(scriptName) {
+            if(isRunning) return;
+            
+            fetch('/api/run', {
+                method: 'POST',
+                headers: {'Content-Type': 'application/json'},
+                body: JSON.stringify({script: scriptName})
+            })
+            .then(r => r.json())
+            .then(res => {
+                if (res.error) {
+                    alert(res.error);
+                } else {
+                    document.getElementById('terminal-body').textContent = `=== Launching ${scriptName} ===\n`;
+                    document.getElementById('terminal-process-title').textContent = `Process: ${scriptName}`;
+                    document.getElementById('btn-stop').disabled = false;
+                    isRunning = true;
+                    startLogPolling();
+                    renderScripts();
+                }
+            })
+            .catch(err => {
+                console.error("Failed to run script:", err);
+            });
+        }
+
+        function stopScript() {
+            fetch('/api/stop', { method: 'POST' })
+                .then(r => r.json())
+                .then(res => {
+                    if (res.error) {
+                        alert(res.error);
+                    }
+                });
+        }
+
+        function handleTerminalInput(e) {
+            if (e.key === 'Enter') {
+                const inputEl = document.getElementById('terminal-input');
+                const text = inputEl.value;
+                inputEl.value = "";
+                
+                fetch('/api/input', {
+                    method: 'POST',
+                    headers: {'Content-Type': 'application/json'},
+                    body: JSON.stringify({text: text})
+                });
+            }
+        }
+
+        function startLogPolling() {
+            if(logInterval) clearInterval(logInterval);
+            
+            logInterval = setInterval(() => {
+                fetch('/api/logs')
+                    .then(r => r.json())
+                    .then(data => {
+                        const terminal = document.getElementById('terminal-body');
+                        
+                        // Parse carriage returns (updates progress bars in place)
+                        let parsedLogs = formatTerminalText(data.logs);
+                        
+                        terminal.textContent = parsedLogs;
+                        terminal.scrollTop = terminal.scrollHeight; // Auto scroll to bottom
+                    });
+            }, 500);
+        }
+
+        function formatTerminalText(text) {
+            let lines = text.split('\n');
+            let outputLines = [];
+            for (let line of lines) {
+                if (line.includes('\r')) {
+                    let parts = line.split('\r');
+                    // Get the last non-empty part to simulate carriage return overwrite
+                    line = parts[parts.length - 1] || parts[parts.length - 2] || "";
+                }
+                outputLines.push(line);
+            }
+            return outputLines.join('\n');
+        }
+
+        function updateSystemStatus() {
+            fetch('/api/status')
+                .then(r => r.json())
+                .then(res => {
+                    // Update status badge
+                    const dot = document.getElementById('status-dot');
+                    const txt = document.getElementById('status-text');
+                    
+                    if (res.running) {
+                        dot.className = "status-dot active";
+                        txt.textContent = `Running: ${res.script}`;
+                        document.getElementById('btn-stop').disabled = false;
+                        document.getElementById('terminal-process-title').textContent = `Process: ${res.script}`;
+                        if (!isRunning) {
+                            isRunning = true;
+                            startLogPolling();
+                            renderScripts();
+                        }
+                    } else {
+                        dot.className = "status-dot";
+                        txt.textContent = "System Idle";
+                        document.getElementById('btn-stop').disabled = true;
+                        document.getElementById('terminal-process-title').textContent = "Process: None";
+                        if (isRunning) {
+                            isRunning = false;
+                            clearInterval(logInterval);
+                            // Do a final log fetch
+                            setTimeout(() => {
+                                fetch('/api/logs')
+                                    .then(r => r.json())
+                                    .then(d => {
+                                        document.getElementById('terminal-body').textContent = formatTerminalText(d.logs) + "\n=== Process Completed ===";
+                                        document.getElementById('terminal-body').scrollTop = document.getElementById('terminal-body').scrollHeight;
+                                    });
+                            }, 500);
+                            renderScripts();
+                        }
+                    }
+                    
+                    // Update system resource panel
+                    const monitor = document.getElementById('monitor-panel');
+                    monitor.innerHTML = "";
+                    
+                    // CPU and Memory
+                    monitor.innerHTML += `
+                        <div class="monitor-item">
+                            <span class="monitor-label"><i class="fa-solid fa-microchip"></i> CPU</span>
+                            <span class="monitor-value">${res.system.cpu}</span>
+                        </div>
+                        <div class="monitor-item">
+                            <span class="monitor-label"><i class="fa-solid fa-memory"></i> RAM</span>
+                            <span class="monitor-value">${res.system.mem}</span>
+                        </div>
+                    `;
+                    
+                    // GPU Stats
+                    if (res.gpu && res.gpu.length > 0) {
+                        res.gpu.forEach(g => {
+                            monitor.innerHTML += `
+                                <div class="monitor-item">
+                                    <span class="monitor-label"><i class="fa-solid fa-bolt"></i> GPU</span>
+                                    <span class="monitor-value">${g.name} (${g.gpu_util})</span>
+                                </div>
+                                <div class="monitor-item">
+                                    <span class="monitor-label"><i class="fa-solid fa-thermometer-half"></i> Temp</span>
+                                    <span class="monitor-value">${g.temp}</span>
+                                </div>
+                                <div class="monitor-item">
+                                    <span class="monitor-label"><i class="fa-solid fa-hard-drive"></i> VRAM</span>
+                                    <span class="monitor-value">${g.mem_used} / ${g.mem_total}</span>
+                                </div>
+                            `;
+                        });
+                    } else {
+                        monitor.innerHTML += `
+                            <div class="monitor-item">
+                                <span class="monitor-label"><i class="fa-solid fa-bolt"></i> GPU</span>
+                                <span class="monitor-value">CPU Mode / No Nvidia GPU</span>
+                            </div>
+                        `;
+                    }
+                    
+                    // Update workspace stats
+                    document.getElementById('stat-src-frames').textContent = res.workspace.src_frames;
+                    document.getElementById('stat-src-faces').textContent = res.workspace.src_faces;
+                    document.getElementById('stat-dst-frames').textContent = res.workspace.dst_frames;
+                    document.getElementById('stat-dst-faces').textContent = res.workspace.dst_faces;
+                });
+        }
+
+        function fetchPreviews() {
+            fetch('/api/preview')
+                .then(r => r.json())
+                .then(previews => {
+                    const gallery = document.getElementById('preview-gallery');
+                    if (previews && previews.length > 0) {
+                        gallery.innerHTML = "";
+                        previews.forEach(p => {
+                            const dateStr = new Date(p.mtime * 1000).toLocaleTimeString();
+                            gallery.innerHTML += `
+                                <div class="preview-img-container">
+                                    <img src="/api/preview/file/${p.path}?t=${p.mtime}" class="preview-img" alt="${p.name}">
+                                    <div class="preview-meta">${p.name} - ${dateStr}</div>
+                                </div>
+                            `;
+                        });
+                    } else {
+                        gallery.innerHTML = `<div class="no-preview-text">No previews found. Start training to generate real-time previews.</div>`;
+                    }
+                })
+                .catch(err => {
+                    console.error("Failed to fetch previews:", err);
+                });
+        }
+
+        function uploadFile(input, target) {
+            const file = input.files[0];
+            if (!file) return;
+            
+            const formData = new FormData();
+            formData.append('file', file);
+            formData.append('target', target);
+            
+            const progressContainer = document.getElementById(`progress-${target}`);
+            const progressBar = document.getElementById(`progress-bar-${target}`);
+            
+            progressContainer.style.display = 'block';
+            progressBar.style.width = '0%';
+            
+            const xhr = new XMLHttpRequest();
+            xhr.open('POST', '/api/upload', true);
+            
+            xhr.upload.onprogress = function(e) {
+                if (e.lengthComputable) {
+                    const percent = (e.loaded / e.total) * 100;
+                    progressBar.style.width = percent + '%';
+                }
+            };
+            
+            xhr.onload = function() {
+                if (xhr.status === 200) {
+                    alert(`Successfully uploaded ${file.name} to workspace!`);
+                    updateSystemStatus();
+                } else {
+                    const res = JSON.parse(xhr.responseText);
+                    alert(`Upload failed: ${res.error}`);
+                }
+                progressContainer.style.display = 'none';
+            };
+            
+            xhr.onerror = function() {
+                alert('Upload failed: network error');
+                progressContainer.style.display = 'none';
+            };
+            
+            xhr.send(formData);
+        }
+    </script>
+</body>
+</html>
diff --git a/web_ui_server.py b/web_ui_server.py
new file mode 100644
index 0000000..890eb87
--- /dev/null
+++ b/web_ui_server.py
@@ -0,0 +1,444 @@
+import os
+import sys
+import pty
+import select
+import signal
+import subprocess
+import threading
+import time
+from flask import Flask, jsonify, request, render_template, send_from_directory, Response
+
+app = Flask(__name__, template_folder='templates', static_folder='static')
+
+# Global process variables
+current_process = None
+master_fd = None
+log_buffer = ""
+running_script = None
+log_lock = threading.Lock()
+
+# Define script workflow categories
+SCRIPT_CATEGORIES = {
+    "workspace": {
+        "title": "Workspace & Setup",
+        "icon": "folder",
+        "scripts": [
+            {"file": "1_clear_workspace.sh", "name": "Clear Workspace", "desc": "Deletes the workspace directory and all intermediate files to start clean."}
+        ]
+    },
+    "src_video": {
+        "title": "Step 1: Source Video (data_src)",
+        "icon": "video",
+        "scripts": [
+            {"file": "2_extract_image_from_data_src.sh", "name": "Extract Images", "desc": "Extracts video frames from workspace/data_src.mp4 to PNG files."},
+            {"file": "4_data_src_extract_faces_S3FD.sh", "name": "Extract Faces (S3FD)", "desc": "Uses S3FD detector to extract aligned face crops from source frames."},
+            {"file": "4_data_src_extract_faces_MANUAL.sh", "name": "Extract Faces (Manual)", "desc": "Interactively extract or fix missing face detections manually."},
+            {"file": "4.2_data_src_sort.sh", "name": "Sort Source Faces", "desc": "Sorts source faces by similarity, luminance, blur, etc., to prune trash."}
+        ]
+    },
+    "dst_video": {
+        "title": "Step 2: Destination Video (data_dst)",
+        "icon": "video",
+        "scripts": [
+            {"file": "3_extract_image_from_data_dst.sh", "name": "Extract Images", "desc": "Extracts video frames from workspace/data_dst.mp4 to PNG files."},
+            {"file": "3.1_denoise_data_dst_images.sh", "name": "Denoise Images", "desc": "Denoises the extracted destination frames for cleaner final merge."},
+            {"file": "5_data_dst_extract_faces_S3FD.sh", "name": "Extract Faces (S3FD)", "desc": "Uses S3FD detector to extract aligned faces from destination frames."},
+            {"file": "5_data_dst_extract_faces_S3FD_+_manual_fix.sh", "name": "Extract Faces (S3FD + Manual)", "desc": "Extract faces using S3FD with manual correction fallback."},
+            {"file": "5_data_dst_extract_faces_MANUAL.sh", "name": "Extract Faces (Manual)", "desc": "Interactively extract or fix destination faces manually."}
+        ]
+    },
+    "xseg": {
+        "title": "Step 3: XSeg Masking (Optional)",
+        "icon": "scissors",
+        "scripts": [
+            {"file": "5_XSeg_train.sh", "name": "Train XSeg Mask", "desc": "Trains a custom XSeg masking model on labeled faces."},
+            {"file": "5_XSeg_data_src_mask_edit.sh", "name": "Edit Src Masks", "desc": "Label/edit XSeg masks on your source face images."},
+            {"file": "5_XSeg_data_src_mask_apply.sh", "name": "Apply Src Masks", "desc": "Applies a trained XSeg model to mask source face images."},
+            {"file": "5_XSeg_data_dst_mask_edit.sh", "name": "Edit Dst Masks", "desc": "Label/edit XSeg masks on your destination face images."},
+            {"file": "5_XSeg_data_dst_mask_apply.sh", "name": "Apply Dst Masks", "desc": "Applies a trained XSeg model to mask destination face images."}
+        ]
+    },
+    "training": {
+        "title": "Step 4: Model Training",
+        "icon": "cpu",
+        "scripts": [
+            {"file": "6_train_Quick96_no_preview.sh", "name": "Train Quick96 (Headless)", "desc": "Trains Quick96 model in the background (no local window)."},
+            {"file": "6_train_Quick96.sh", "name": "Train Quick96 (Windowed)", "desc": "Trains Quick96 model. Requires local X11 visual window."},
+            {"file": "6_train_SAEHD_no_preview.sh", "name": "Train SAEHD (Headless)", "desc": "Trains high-quality SAEHD model in the background."},
+            {"file": "6_train_SAEHD.sh", "name": "Train SAEHD (Windowed)", "desc": "Trains SAEHD model. Requires local X11 visual window."}
+        ]
+    },
+    "merging": {
+        "title": "Step 5: Face Merging",
+        "icon": "merge",
+        "scripts": [
+            {"file": "7_merge_Quick96.sh", "name": "Merge Quick96", "desc": "Merges Quick96 face swaps onto destination frames."},
+            {"file": "7_merge_SAEHD.sh", "name": "Merge SAEHD", "desc": "Merges SAEHD face swaps onto destination frames."}
+        ]
+    },
+    "export": {
+        "title": "Step 6: Export & Render",
+        "icon": "download",
+        "scripts": [
+            {"file": "8_merged_to_mp4.sh", "name": "Export to MP4", "desc": "Combines merged frames into an MP4 file (h264)."},
+            {"file": "8_merged_to_mp4_lossless.sh", "name": "Export to MP4 (Lossless)", "desc": "Combines merged frames into a lossless MP4 file."},
+            {"file": "8_merged_to_avi.sh", "name": "Export to AVI", "desc": "Combines merged frames into an uncompressed AVI file."}
+        ]
+    }
+}
+
+# Add pre-trained download links to categories
+SCRIPT_CATEGORIES["pretrain"] = {
+    "title": "Download Pre-trained Weights",
+    "icon": "cloud-download",
+    "scripts": [
+        {"file": "4.1_download_Quick96.sh", "name": "Download Quick96 pretrain", "desc": "Downloads Quick96 pretraining zip file."},
+        {"file": "4.1_download_CelebA.sh", "name": "Download CelebA pretrain", "desc": "Downloads CelebA pretraining zip file."},
+        {"file": "4.1_download_FFHQ.sh", "name": "Download FFHQ pretrain", "desc": "Downloads FFHQ pretraining zip file."}
+    ]
+}
+
+def log_reader(fd, proc):
+    global log_buffer, current_process, master_fd, running_script
+    while True:
+        try:
+            r, w, x = select.select([fd], [], [], 0.1)
+            if fd in r:
+                data = os.read(fd, 4096)
+                if not data:
+                    break
+                decoded_chunk = data.decode('utf-8', errors='replace')
+                with log_lock:
+                    log_buffer += decoded_chunk
+        except (OSError, ValueError):
+            break
+        except Exception:
+            break
+        
+        # Check if process died
+        if proc.poll() is not None:
+            # Final drain of buffer
+            try:
+                r, w, x = select.select([fd], [], [], 0.1)
+                if fd in r:
+                    data = os.read(fd, 4096)
+                    if data:
+                        decoded_chunk = data.decode('utf-8', errors='replace')
+                        with log_lock:
+                            log_buffer += decoded_chunk
+            except Exception:
+                pass
+            break
+            
+    try:
+        os.close(fd)
+    except Exception:
+        pass
+        
+    with log_lock:
+        if current_process == proc:
+            current_process = None
+            master_fd = None
+            running_script = None
+
+def get_gpu_info():
+    try:
+        result = subprocess.run(
+            ['nvidia-smi', '--query-gpu=gpu_name,utilization.gpu,utilization.memory,memory.total,memory.used,temperature.gpu', '--format=csv,noheader,nounits'],
+            stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=2
+        )
+        if result.returncode == 0:
+            lines = result.stdout.strip().split('\n')
+            gpus = []
+            for line in lines:
+                parts = [p.strip() for p in line.split(',')]
+                if len(parts) >= 6:
+                    gpus.append({
+                        'name': parts[0],
+                        'gpu_util': parts[1] + '%',
+                        'mem_util': parts[2] + '%',
+                        'mem_total': parts[3] + ' MB',
+                        'mem_used': parts[4] + ' MB',
+                        'temp': parts[5] + '°C'
+                    })
+            return gpus
+    except Exception:
+        pass
+    return None
+
+def get_system_stats():
+    # Basic system utilization (cpu / memory)
+    # Reading from /proc/stat
+    cpu_util = "0%"
+    mem_util = "0%"
+    try:
+        # CPU calculation
+        with open('/proc/stat', 'r') as f:
+            fields = [float(column) for column in f.readline().strip().split()[1:]]
+        idle, total = fields[3], sum(fields)
+        time.sleep(0.1)
+        with open('/proc/stat', 'r') as f:
+            fields2 = [float(column) for column in f.readline().strip().split()[1:]]
+        idle2, total2 = fields2[3], sum(fields2)
+        
+        diff_idle = idle2 - idle
+        diff_total = total2 - total
+        if diff_total > 0:
+            cpu_util = f"{int((1.0 - diff_idle / diff_total) * 100)}%"
+            
+        # Memory calculation
+        with open('/proc/meminfo', 'r') as f:
+            lines = f.readlines()
+        mem_total = 1.0
+        mem_free = 0.0
+        mem_cached = 0.0
+        mem_buffers = 0.0
+        for line in lines:
+            if line.startswith('MemTotal:'):
+                mem_total = float(line.split()[1])
+            elif line.startswith('MemFree:'):
+                mem_free = float(line.split()[1])
+            elif line.startswith('Cached:'):
+                mem_cached = float(line.split()[1])
+            elif line.startswith('Buffers:'):
+                mem_buffers = float(line.split()[1])
+        mem_used = mem_total - mem_free - mem_cached - mem_buffers
+        mem_util = f"{int((mem_used / mem_total) * 100)}%"
+    except Exception:
+        pass
+        
+    return {
+        'cpu': cpu_util,
+        'mem': mem_util
+    }
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/api/status')
+def status():
+    global current_process, running_script
+    is_running = current_process is not None and current_process.poll() is None
+    
+    # Get workspace stats
+    workspace_dir = os.path.join(os.path.dirname(__file__), 'workspace')
+    stats = {
+        'src_frames': 0,
+        'src_faces': 0,
+        'dst_frames': 0,
+        'dst_faces': 0,
+        'models': []
+    }
+    
+    if os.path.exists(workspace_dir):
+        def count_files(path, ext=None):
+            if not os.path.exists(path):
+                return 0
+            count = 0
+            for entry in os.scandir(path):
+                if entry.is_file():
+                    if ext is None or entry.name.lower().endswith(ext):
+                        count += 1
+            return count
+
+        stats['src_frames'] = count_files(os.path.join(workspace_dir, 'data_src'), '.png') + count_files(os.path.join(workspace_dir, 'data_src'), '.jpg')
+        stats['src_faces'] = count_files(os.path.join(workspace_dir, 'data_src', 'aligned'), '.jpg')
+        stats['dst_frames'] = count_files(os.path.join(workspace_dir, 'data_dst'), '.png') + count_files(os.path.join(workspace_dir, 'data_dst'), '.jpg')
+        stats['dst_faces'] = count_files(os.path.join(workspace_dir, 'data_dst', 'aligned'), '.jpg')
+        
+        model_dir = os.path.join(workspace_dir, 'model')
+        if os.path.exists(model_dir):
+            for entry in os.scandir(model_dir):
+                if entry.is_file() and entry.name.endswith('.dat'):
+                    stats['models'].append(entry.name)
+
+    return jsonify({
+        'running': is_running,
+        'script': running_script,
+        'gpu': get_gpu_info(),
+        'system': get_system_stats(),
+        'workspace': stats
+    })
+
+@app.route('/api/scripts')
+def list_scripts():
+    return jsonify(SCRIPT_CATEGORIES)
+
+@app.route('/api/run', methods=['POST'])
+def run_script():
+    global current_process, master_fd, log_buffer, running_script
+    if current_process is not None and current_process.poll() is None:
+        return jsonify({'error': 'A script is already running'}), 400
+        
+    data = request.json
+    script_name = data.get('script')
+    if not script_name:
+        return jsonify({'error': 'No script name specified'}), 400
+        
+    script_path = os.path.join(os.path.dirname(__file__), 'scripts', script_name)
+    if not os.path.exists(script_path):
+        return jsonify({'error': f'Script not found: {script_name}'}), 404
+        
+    # Reset log buffer
+    with log_lock:
+        log_buffer = f"=== Starting {script_name} ===\n"
+        running_script = script_name
+        
+    # Spawn the script in a pseudo-terminal
+    try:
+        m_fd, s_fd = pty.openpty()
+        
+        # We spawn the script inside the conda env's python path by launching /bin/bash in pty
+        current_process = subprocess.Popen(
+            ['/bin/bash', script_name],
+            cwd=os.path.join(os.path.dirname(__file__), 'scripts'),
+            stdin=s_fd,
+            stdout=s_fd,
+            stderr=s_fd,
+            preexec_fn=os.setsid, # Put subprocess in its own process group to kill children
+            env=os.environ.copy()
+        )
+        
+        # Close the slave file descriptor in the parent
+        os.close(s_fd)
+        
+        master_fd = m_fd
+        
+        # Start background reader thread
+        t = threading.Thread(target=log_reader, args=(m_fd, current_process))
+        t.daemon = True
+        t.start()
+        
+        return jsonify({'status': 'started', 'script': script_name})
+    except Exception as e:
+        with log_lock:
+            log_buffer += f"\nFailed to launch script: {str(e)}\n"
+            current_process = None
+            master_fd = None
+            running_script = None
+        return jsonify({'error': f'Launch error: {str(e)}'}), 500
+
+@app.route('/api/stop', methods=['POST'])
+def stop_script():
+    global current_process
+    if current_process is None or current_process.poll() is not None:
+        return jsonify({'error': 'No script is currently running'}), 400
+        
+    try:
+        # Kill the entire process group
+        pgid = os.getpgid(current_process.pid)
+        os.killpg(pgid, signal.SIGTERM)
+        time.sleep(0.5)
+        if current_process.poll() is None:
+            os.killpg(pgid, signal.SIGKILL)
+            
+        with log_lock:
+            log_buffer += "\n=== Process terminated by user ===\n"
+            
+        return jsonify({'status': 'terminated'})
+    except Exception as e:
+        return jsonify({'error': f'Error terminating process: {str(e)}'}), 500
+
+@app.route('/api/input', methods=['POST'])
+def send_input():
+    global master_fd
+    data = request.json
+    text = data.get('text', '')
+    if master_fd is None:
+        return jsonify({'error': 'No active process terminal to write to'}), 400
+        
+    try:
+        os.write(master_fd, (text + '\n').encode('utf-8'))
+        return jsonify({'status': 'sent'})
+    except Exception as e:
+        return jsonify({'error': f'Write error: {str(e)}'}), 500
+
+@app.route('/api/logs')
+def get_logs():
+    global log_buffer
+    with log_lock:
+        return jsonify({'logs': log_buffer})
+
+@app.route('/api/preview')
+def list_previews():
+    # Scan for any images in the workspace/model directory
+    model_dir = os.path.join(os.path.dirname(__file__), 'workspace', 'model')
+    if not os.path.exists(model_dir):
+        return jsonify([])
+        
+    previews = []
+    try:
+        for root, dirs, files in os.walk(model_dir):
+            for f in files:
+                if f.lower().endswith(('.jpg', '.png')):
+                    path = os.path.join(root, f)
+                    mtime = os.path.getmtime(path)
+                    rel_path = os.path.relpath(path, model_dir)
+                    # Exclude huge files if any
+                    size = os.path.getsize(path)
+                    if size < 5 * 1024 * 1024: # Less than 5MB
+                        previews.append({
+                            'name': f,
+                            'path': rel_path,
+                            'mtime': mtime,
+                            'size': size
+                        })
+        # Sort by modification time (most recent first)
+        previews.sort(key=lambda x: x['mtime'], reverse=True)
+    except Exception as e:
+        return jsonify({'error': str(e)}), 500
+        
+    return jsonify(previews)
+
+@app.route('/api/preview/file/<path:filename>')
+def serve_preview_file(filename):
+    model_dir = os.path.join(os.path.dirname(__file__), 'workspace', 'model')
+    return send_from_directory(model_dir, filename)
+
+@app.route('/api/upload', methods=['POST'])
+def upload_file():
+    if 'file' not in request.files:
+        return jsonify({'error': 'No file part'}), 400
+    file = request.files['file']
+    target = request.form.get('target') # 'src' or 'dst'
+    
+    if file.filename == '':
+        return jsonify({'error': 'No selected file'}), 400
+        
+    if target not in ('src', 'dst'):
+        return jsonify({'error': 'Invalid upload target'}), 400
+        
+    ext = os.path.splitext(file.filename)[1].lower()
+    if ext not in ('.mp4', '.avi', '.mkv', '.mov'):
+        return jsonify({'error': 'Unsupported file format'}), 400
+        
+    workspace_dir = os.path.join(os.path.dirname(__file__), 'workspace')
+    os.makedirs(workspace_dir, exist_ok=True)
+    
+    # Save as data_src.<ext> or data_dst.<ext>
+    filename = f"data_{target}{ext}"
+    dest_path = os.path.join(workspace_dir, filename)
+    
+    # Remove existing ones with other extensions if necessary, to keep DFL working cleanly
+    for existing_ext in ('.mp4', '.avi', '.mkv', '.mov'):
+        try:
+            os.remove(os.path.join(workspace_dir, f"data_{target}{existing_ext}"))
+        except FileNotFoundError:
+            pass
+            
+    try:
+        file.save(dest_path)
+        return jsonify({'status': 'uploaded', 'filename': filename})
+    except Exception as e:
+        return jsonify({'error': f'Failed to save file: {str(e)}'}), 500
+
+if __name__ == '__main__':
+    # Make sure workspace directories exist
+    os.makedirs('templates', exist_ok=True)
+    os.makedirs('static', exist_ok=True)
+    
+    port = 8082
+    print(f"Starting DeepFaceLab Web UI Server on port {port}...")
+    print(f"Access it at http://localhost:{port}/")
+    app.run(host='0.0.0.0', port=port, debug=False)
