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53920de 479a01e c897412 53920de 479a01e 960de52 479a01e 53920de 479a01e 53920de 479a01e 53920de 479a01e 53920de ca5f958 479a01e ca5f958 53920de | 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 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Batch Processing | AutoCaption Magic</title>
<link rel="stylesheet" href="style.css">
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js"></script>
<script src="https://unpkg.com/feather-icons"></script>
</head>
<body class="bg-gray-50 min-h-screen flex flex-col">
<custom-navbar></custom-navbar>
<main class="flex-grow container mx-auto px-4 py-12">
<div class="max-w-6xl mx-auto bg-white rounded-xl shadow-md overflow-hidden p-8">
<div class="text-center mb-10">
<h1 class="text-4xl font-bold text-primary-500 mb-4">Batch Processing</h1>
<p class="text-lg text-gray-600">Process multiple datasets at once with advanced options</p>
</div>
<div class="grid md:grid-cols-2 gap-8">
<div class="space-y-6">
<div class="bg-gray-50 p-6 rounded-lg border border-gray-200">
<h2 class="text-2xl font-semibold text-gray-800 mb-4">Upload Multiple Datasets</h2>
<div class="border-2 border-dashed border-gray-300 rounded-lg p-12 text-center cursor-pointer hover:bg-gray-100 transition" id="batchUploadArea">
<i data-feather="folder" class="w-12 h-12 mx-auto text-primary-500 mb-4"></i>
<p class="text-gray-600">Drag & drop your dataset folders here</p>
<p class="text-sm text-gray-500 mt-2">Supports ZIP files containing images</p>
</div>
</div>
<div class="bg-gray-50 p-6 rounded-lg border border-gray-200">
<h2 class="text-2xl font-semibold text-gray-800 mb-4">Output Settings</h2>
<div class="space-y-4">
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Output Format</label>
<select class="w-full rounded-md border-gray-300 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<option>JSON (Recommended)</option>
<option>CSV</option>
<option>Text Files</option>
</select>
</div>
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Filename Pattern</label>
<input type="text" placeholder="e.g. 'captions_{index}.txt'" class="w-full rounded-md border-gray-300 shadow-sm focus:border-primary-500 focus:ring-primary-500">
</div>
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Trigger Word</label>
<input type="text" placeholder="e.g. 'myLoraStyle'" class="w-full rounded-md border-gray-300 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<p class="text-xs text-gray-500 mt-1">This word will be prepended to all captions</p>
</div>
</div>
</div>
</div>
<div class="space-y-6">
<div class="bg-gray-50 p-6 rounded-lg border border-gray-200">
<h2 class="text-2xl font-semibold text-gray-800 mb-4">Advanced Options</h2>
<div class="space-y-4">
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Concurrent Processing</label>
<select class="w-full rounded-md border-gray-300 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<option>Auto (Recommended)</option>
<option>1 thread</option>
<option>2 threads</option>
<option>4 threads</option>
<option>8 threads</option>
</select>
</div>
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Quality Check</label>
<div class="flex items-center space-x-4">
<label class="inline-flex items-center">
<input type="checkbox" checked class="rounded border-gray-300 text-primary-500 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<span class="ml-2">Filter low-confidence captions</span>
</label>
</div>
</div>
<div>
<label class="block text-sm font-medium text-gray-700 mb-1">Post-Processing</label>
<div class="flex items-center space-x-4">
<label class="inline-flex items-center">
<input type="checkbox" checked class="rounded border-gray-300 text-primary-500 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<span class="ml-2">Remove duplicates</span>
</label>
<label class="inline-flex items-center">
<input type="checkbox" class="rounded border-gray-300 text-primary-500 shadow-sm focus:border-primary-500 focus:ring-primary-500">
<span class="ml-2">Capitalize first letter</span>
</label>
</div>
</div>
</div>
</div>
<div class="flex justify-center pt-4">
<button class="px-8 py-3 bg-primary-500 hover:bg-primary-600 text-white font-medium rounded-lg shadow-md transition duration-300 flex items-center" id="batchProcessBtn">
<i data-feather="play" class="w-5 h-5 mr-2"></i>
Start Batch Processing
</button>
</div>
</div>
</div>
</div>
</main>
<custom-footer></custom-footer>
<script src="components/navbar.js"></script>
<script src="components/footer.js"></script>
<script src="script.js"></script>
<script>
document.addEventListener('DOMContentLoaded', function() {
feather.replace();
// Batch upload functionality
const batchUploadArea = document.getElementById('batchUploadArea');
const batchProcessBtn = document.getElementById('batchProcessBtn');
if (batchUploadArea) {
batchUploadArea.addEventListener('click', function() {
const fileInput = document.createElement('input');
fileInput.type = 'file';
fileInput.multiple = true;
fileInput.accept = '.zip,.rar,.7z';
fileInput.click();
fileInput.addEventListener('change', function(e) {
if (e.target.files.length > 0) {
batchUploadArea.innerHTML = `
<i data-feather="check-circle" class="w-12 h-12 mx-auto text-green-500 mb-4"></i>
<p class="text-gray-600">${e.target.files.length} datasets selected</p>
<p class="text-sm text-gray-500 mt-2">Ready for batch processing</p>
`;
feather.replace();
// Enable batch process button
if (batchProcessBtn) {
batchProcessBtn.disabled = false;
}
}
});
});
}
if (batchProcessBtn) {
batchProcessBtn.addEventListener('click', function() {
if (!this.disabled) {
this.innerHTML = `
<i data-feather="loader" class="w-5 h-5 mr-2 animate-spin"></i>
Processing Datasets...
`;
feather.replace();
// Simulate batch processing
setTimeout(() => {
this.innerHTML = `
<i data-feather="check-circle" class="w-5 h-5 mr-2"></i>
Processing Complete!
`;
feather.replace();
// Show download option
setTimeout(() => {
this.innerHTML = `
<i data-feather="download" class="w-5 h-5 mr-2"></i>
Download All Results
`;
feather.replace();
}
});
}
});
</script>
</body>
</html> |