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Add 3 files
Browse files- README.md +7 -5
- index.html +356 -19
- prompts.txt +1 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: static
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: aurarecall1
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emoji: 🐳
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colorFrom: green
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colorTo: blue
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sdk: static
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pinned: false
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tags:
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- deepsite
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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index.html
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<!
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<html>
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| 1 |
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<!DOCTYPE html>
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| 2 |
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AuraRecall | AI-Powered Memory System</title>
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<script src="https://cdn.tailwindcss.com"></script>
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| 8 |
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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| 9 |
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<style>
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| 10 |
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.file-upload-container {
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| 11 |
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transition: all 0.3s ease;
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| 12 |
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}
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| 13 |
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.file-upload-container:hover {
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| 14 |
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transform: translateY(-2px);
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| 15 |
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}
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| 16 |
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.ai-response-container {
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| 17 |
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max-height: 300px;
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| 18 |
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overflow-y: auto;
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| 19 |
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}
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| 20 |
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.pulse-animation {
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| 21 |
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animation: pulse 2s infinite;
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| 22 |
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}
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| 23 |
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@keyframes pulse {
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| 24 |
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0% { opacity: 0.6; }
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| 25 |
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50% { opacity: 1; }
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| 26 |
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100% { opacity: 0.6; }
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| 27 |
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}
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| 28 |
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.gradient-border {
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| 29 |
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border: 2px solid transparent;
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| 30 |
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background: linear-gradient(white, white) padding-box,
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| 31 |
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linear-gradient(to right, #6366f1, #8b5cf6) border-box;
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| 32 |
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}
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| 33 |
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</style>
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| 34 |
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</head>
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| 35 |
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<body class="bg-gray-50 min-h-screen">
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| 36 |
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<div class="container mx-auto px-4 py-8 max-w-6xl">
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| 37 |
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<!-- Header -->
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| 38 |
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<header class="mb-12 text-center">
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| 39 |
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<div class="flex justify-center items-center mb-4">
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| 40 |
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<div class="w-12 h-12 rounded-full bg-indigo-500 flex items-center justify-center mr-4">
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| 41 |
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<i class="fas fa-brain text-white text-xl"></i>
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| 42 |
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</div>
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| 43 |
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<h1 class="text-4xl font-bold text-indigo-800">AuraRecall</h1>
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| 44 |
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</div>
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| 45 |
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<h2 class="text-2xl font-semibold text-gray-700">AI-Powered Memory System with Cloudflare Integration</h2>
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| 46 |
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<div class="w-24 h-1 bg-indigo-500 mx-auto mt-4 rounded-full"></div>
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| 47 |
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</header>
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| 48 |
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| 49 |
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<!-- Main Content -->
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| 50 |
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<div class="grid grid-cols-1 lg:grid-cols-2 gap-8">
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| 51 |
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<!-- File Upload Section -->
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| 52 |
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<div class="bg-white rounded-xl shadow-md overflow-hidden gradient-border">
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| 53 |
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<div class="bg-indigo-600 px-6 py-4">
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| 54 |
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<h3 class="text-xl font-semibold text-white flex items-center">
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| 55 |
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<i class="fas fa-cloud-upload-alt mr-3"></i> Memory Fragment Upload
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| 56 |
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</h3>
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| 57 |
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</div>
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| 58 |
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<div class="p-6">
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| 59 |
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<div id="file-upload-container" class="file-upload-container border-2 border-dashed border-gray-300 rounded-lg p-8 text-center cursor-pointer hover:border-indigo-400 transition">
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| 60 |
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<i class="fas fa-file-upload text-4xl text-gray-400 mb-4"></i>
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| 61 |
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<p class="text-gray-600 mb-2">Drag & drop your memory fragment here</p>
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| 62 |
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<p class="text-sm text-gray-500 mb-4">Supports audio (MP3, WAV) and video (MP4, MOV) files</p>
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| 63 |
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<input type="file" id="file-input" class="hidden" accept=".mp3,.wav,.mp4,.mov">
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| 64 |
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<label for="file-input" class="px-4 py-2 bg-indigo-600 text-white rounded-lg hover:bg-indigo-700 transition cursor-pointer">
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| 65 |
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Select File
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| 66 |
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</label>
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| 67 |
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</div>
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| 68 |
+
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| 69 |
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<div id="upload-progress" class="mt-6 hidden">
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| 70 |
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<div class="flex justify-between mb-2">
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| 71 |
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<span class="text-sm font-medium text-gray-700">Uploading...</span>
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| 72 |
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<span id="upload-percent" class="text-sm font-medium text-indigo-600">0%</span>
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| 73 |
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</div>
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| 74 |
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<div class="w-full bg-gray-200 rounded-full h-2.5">
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| 75 |
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<div id="upload-progress-bar" class="bg-indigo-600 h-2.5 rounded-full" style="width: 0%"></div>
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| 76 |
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</div>
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| 77 |
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</div>
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| 78 |
+
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| 79 |
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<div id="upload-success" class="mt-6 p-4 bg-green-50 rounded-lg hidden">
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| 80 |
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<div class="flex items-center">
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| 81 |
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<i class="fas fa-check-circle text-green-500 text-xl mr-3"></i>
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| 82 |
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<div>
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| 83 |
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<h4 class="font-medium text-green-800">Upload Successful!</h4>
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| 84 |
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<p class="text-sm text-green-600">Your memory fragment is being processed.</p>
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| 85 |
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</div>
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| 86 |
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</div>
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| 87 |
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</div>
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| 88 |
+
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| 89 |
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<div id="upload-error" class="mt-6 p-4 bg-red-50 rounded-lg hidden">
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| 90 |
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<div class="flex items-center">
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| 91 |
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<i class="fas fa-exclamation-circle text-red-500 text-xl mr-3"></i>
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| 92 |
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<div>
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| 93 |
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<h4 class="font-medium text-red-800">Upload Failed</h4>
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| 94 |
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<p id="error-message" class="text-sm text-red-600"></p>
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| 95 |
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</div>
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| 96 |
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</div>
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| 97 |
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</div>
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| 98 |
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</div>
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| 99 |
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</div>
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| 100 |
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| 101 |
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<!-- AI Query Section -->
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| 102 |
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<div class="bg-white rounded-xl shadow-md overflow-hidden gradient-border">
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| 103 |
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<div class="bg-purple-600 px-6 py-4">
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| 104 |
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<h3 class="text-xl font-semibold text-white flex items-center">
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| 105 |
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<i class="fas fa-robot mr-3"></i> Cloudflare AI Gateway
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| 106 |
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</h3>
|
| 107 |
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</div>
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| 108 |
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<div class="p-6">
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| 109 |
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<div class="mb-6">
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| 110 |
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<label for="ai-query" class="block text-sm font-medium text-gray-700 mb-2">Ask about your memories</label>
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| 111 |
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<div class="flex">
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| 112 |
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<input type="text" id="ai-query" placeholder="E.g. What was that restaurant we visited in Paris?"
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| 113 |
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class="flex-1 px-4 py-2 border border-gray-300 rounded-l-lg focus:ring-indigo-500 focus:border-indigo-500">
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| 114 |
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<button id="send-query" class="px-4 py-2 bg-purple-600 text-white rounded-r-lg hover:bg-purple-700 transition">
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| 115 |
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<i class="fas fa-paper-plane"></i>
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| 116 |
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</button>
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| 117 |
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</div>
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| 118 |
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</div>
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| 119 |
+
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| 120 |
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<div id="ai-thinking" class="hidden mb-6 p-4 bg-purple-50 rounded-lg">
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| 121 |
+
<div class="flex items-center">
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| 122 |
+
<div class="pulse-animation">
|
| 123 |
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<i class="fas fa-circle-notch fa-spin text-purple-500 mr-3"></i>
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| 124 |
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</div>
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| 125 |
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<span class="text-purple-700">Processing your query with AI...</span>
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| 126 |
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</div>
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| 127 |
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</div>
|
| 128 |
+
|
| 129 |
+
<div id="ai-response-container" class="hidden">
|
| 130 |
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<h4 class="font-medium text-gray-700 mb-3 flex items-center">
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| 131 |
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<i class="fas fa-comment-dots text-purple-500 mr-2"></i> AI Response
|
| 132 |
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</h4>
|
| 133 |
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<div class="ai-response-container bg-gray-50 p-4 rounded-lg border border-gray-200">
|
| 134 |
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<p id="ai-response" class="text-gray-700"></p>
|
| 135 |
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</div>
|
| 136 |
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<div class="mt-3 text-right">
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| 137 |
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<button id="refine-query" class="text-sm px-3 py-1 bg-gray-100 text-gray-600 rounded hover:bg-gray-200 transition">
|
| 138 |
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<i class="fas fa-redo mr-1"></i> Refine Query
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| 139 |
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</button>
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| 140 |
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</div>
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| 141 |
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</div>
|
| 142 |
+
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| 143 |
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<div id="ai-error" class="hidden mt-6 p-4 bg-red-50 rounded-lg">
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| 144 |
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<div class="flex items-center">
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| 145 |
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<i class="fas fa-exclamation-circle text-red-500 text-xl mr-3"></i>
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| 146 |
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<div>
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| 147 |
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<h4 class="font-medium text-red-800">AI Query Failed</h4>
|
| 148 |
+
<p id="ai-error-message" class="text-sm text-red-600"></p>
|
| 149 |
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</div>
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| 150 |
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</div>
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| 151 |
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</div>
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| 152 |
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</div>
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| 153 |
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</div>
|
| 154 |
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</div>
|
| 155 |
+
|
| 156 |
+
<!-- System Status -->
|
| 157 |
+
<div class="mt-12 bg-white rounded-xl shadow-md overflow-hidden">
|
| 158 |
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<div class="bg-gray-800 px-6 py-4">
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| 159 |
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<h3 class="text-xl font-semibold text-white flex items-center">
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| 160 |
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<i class="fas fa-server mr-3"></i> System Status
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| 161 |
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</h3>
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| 162 |
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</div>
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| 163 |
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<div class="p-6">
|
| 164 |
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<div class="grid grid-cols-1 md:grid-cols-3 gap-6">
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| 165 |
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<div class="border border-gray-200 rounded-lg p-4">
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| 166 |
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<div class="flex items-center mb-3">
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| 167 |
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<div class="w-10 h-10 rounded-full bg-indigo-100 flex items-center justify-center mr-3">
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| 168 |
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<i class="fas fa-upload text-indigo-500"></i>
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| 169 |
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</div>
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| 170 |
+
<h4 class="font-medium text-gray-700">Ingestion Service</h4>
|
| 171 |
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</div>
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| 172 |
+
<div class="flex items-center">
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| 173 |
+
<div class="w-2 h-2 rounded-full bg-green-500 mr-2"></div>
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| 174 |
+
<span class="text-sm text-gray-600">Operational</span>
|
| 175 |
+
</div>
|
| 176 |
+
</div>
|
| 177 |
+
|
| 178 |
+
<div class="border border-gray-200 rounded-lg p-4">
|
| 179 |
+
<div class="flex items-center mb-3">
|
| 180 |
+
<div class="w-10 h-10 rounded-full bg-purple-100 flex items-center justify-center mr-3">
|
| 181 |
+
<i class="fas fa-network-wired text-purple-500"></i>
|
| 182 |
+
</div>
|
| 183 |
+
<h4 class="font-medium text-gray-700">Cloudflare Gateway</h4>
|
| 184 |
+
</div>
|
| 185 |
+
<div class="flex items-center">
|
| 186 |
+
<div class="w-2 h-2 rounded-full bg-green-500 mr-2"></div>
|
| 187 |
+
<span class="text-sm text-gray-600">Connected</span>
|
| 188 |
+
</div>
|
| 189 |
+
</div>
|
| 190 |
+
|
| 191 |
+
<div class="border border-gray-200 rounded-lg p-4">
|
| 192 |
+
<div class="flex items-center mb-3">
|
| 193 |
+
<div class="w-10 h-10 rounded-full bg-blue-100 flex items-center justify-center mr-3">
|
| 194 |
+
<i class="fas fa-database text-blue-500"></i>
|
| 195 |
+
</div>
|
| 196 |
+
<h4 class="font-medium text-gray-700">Memory Database</h4>
|
| 197 |
+
</div>
|
| 198 |
+
<div class="flex items-center">
|
| 199 |
+
<div class="w-2 h-2 rounded-full bg-green-500 mr-2"></div>
|
| 200 |
+
<span class="text-sm text-gray-600">Synced</span>
|
| 201 |
+
</div>
|
| 202 |
+
</div>
|
| 203 |
+
</div>
|
| 204 |
+
</div>
|
| 205 |
+
</div>
|
| 206 |
+
</div>
|
| 207 |
+
|
| 208 |
+
<script>
|
| 209 |
+
document.addEventListener('DOMContentLoaded', function() {
|
| 210 |
+
// File Upload Handling
|
| 211 |
+
const fileInput = document.getElementById('file-input');
|
| 212 |
+
const uploadContainer = document.getElementById('file-upload-container');
|
| 213 |
+
const uploadProgress = document.getElementById('upload-progress');
|
| 214 |
+
const progressBar = document.getElementById('upload-progress-bar');
|
| 215 |
+
const uploadPercent = document.getElementById('upload-percent');
|
| 216 |
+
const uploadSuccess = document.getElementById('upload-success');
|
| 217 |
+
const uploadError = document.getElementById('upload-error');
|
| 218 |
+
const errorMessage = document.getElementById('error-message');
|
| 219 |
+
|
| 220 |
+
// Drag and drop functionality
|
| 221 |
+
uploadContainer.addEventListener('dragover', (e) => {
|
| 222 |
+
e.preventDefault();
|
| 223 |
+
uploadContainer.classList.add('border-indigo-500', 'bg-indigo-50');
|
| 224 |
+
});
|
| 225 |
+
|
| 226 |
+
uploadContainer.addEventListener('dragleave', () => {
|
| 227 |
+
uploadContainer.classList.remove('border-indigo-500', 'bg-indigo-50');
|
| 228 |
+
});
|
| 229 |
+
|
| 230 |
+
uploadContainer.addEventListener('drop', (e) => {
|
| 231 |
+
e.preventDefault();
|
| 232 |
+
uploadContainer.classList.remove('border-indigo-500', 'bg-indigo-50');
|
| 233 |
+
if (e.dataTransfer.files.length) {
|
| 234 |
+
fileInput.files = e.dataTransfer.files;
|
| 235 |
+
handleFileUpload();
|
| 236 |
+
}
|
| 237 |
+
});
|
| 238 |
+
|
| 239 |
+
fileInput.addEventListener('change', handleFileUpload);
|
| 240 |
+
|
| 241 |
+
function handleFileUpload() {
|
| 242 |
+
const file = fileInput.files[0];
|
| 243 |
+
if (!file) return;
|
| 244 |
+
|
| 245 |
+
// Validate file type
|
| 246 |
+
const validTypes = ['audio/mp3', 'audio/wav', 'video/mp4', 'video/quicktime'];
|
| 247 |
+
if (!validTypes.includes(file.type)) {
|
| 248 |
+
showUploadError('Invalid file type. Please upload an audio or video file.');
|
| 249 |
+
return;
|
| 250 |
+
}
|
| 251 |
+
|
| 252 |
+
// Validate file size (max 100MB)
|
| 253 |
+
if (file.size > 100 * 1024 * 1024) {
|
| 254 |
+
showUploadError('File too large. Maximum size is 100MB.');
|
| 255 |
+
return;
|
| 256 |
+
}
|
| 257 |
+
|
| 258 |
+
// Show upload progress
|
| 259 |
+
uploadProgress.classList.remove('hidden');
|
| 260 |
+
uploadSuccess.classList.add('hidden');
|
| 261 |
+
uploadError.classList.add('hidden');
|
| 262 |
+
|
| 263 |
+
// Simulate upload progress (in a real app, this would be actual upload progress)
|
| 264 |
+
let progress = 0;
|
| 265 |
+
const interval = setInterval(() => {
|
| 266 |
+
progress += Math.random() * 10;
|
| 267 |
+
if (progress >= 100) {
|
| 268 |
+
progress = 100;
|
| 269 |
+
clearInterval(interval);
|
| 270 |
+
|
| 271 |
+
// Simulate successful upload
|
| 272 |
+
setTimeout(() => {
|
| 273 |
+
uploadProgress.classList.add('hidden');
|
| 274 |
+
uploadSuccess.classList.remove('hidden');
|
| 275 |
+
|
| 276 |
+
// Reset after 5 seconds
|
| 277 |
+
setTimeout(() => {
|
| 278 |
+
uploadSuccess.classList.add('hidden');
|
| 279 |
+
fileInput.value = '';
|
| 280 |
+
}, 5000);
|
| 281 |
+
}, 500);
|
| 282 |
+
}
|
| 283 |
+
|
| 284 |
+
progressBar.style.width = `${progress}%`;
|
| 285 |
+
uploadPercent.textContent = `${Math.round(progress)}%`;
|
| 286 |
+
}, 300);
|
| 287 |
+
}
|
| 288 |
+
|
| 289 |
+
function showUploadError(message) {
|
| 290 |
+
errorMessage.textContent = message;
|
| 291 |
+
uploadError.classList.remove('hidden');
|
| 292 |
+
uploadProgress.classList.add('hidden');
|
| 293 |
+
uploadSuccess.classList.add('hidden');
|
| 294 |
+
|
| 295 |
+
// Hide error after 5 seconds
|
| 296 |
+
setTimeout(() => {
|
| 297 |
+
uploadError.classList.add('hidden');
|
| 298 |
+
}, 5000);
|
| 299 |
+
}
|
| 300 |
+
|
| 301 |
+
// AI Query Handling
|
| 302 |
+
const aiQueryInput = document.getElementById('ai-query');
|
| 303 |
+
const sendQueryBtn = document.getElementById('send-query');
|
| 304 |
+
const aiThinking = document.getElementById('ai-thinking');
|
| 305 |
+
const aiResponseContainer = document.getElementById('ai-response-container');
|
| 306 |
+
const aiResponse = document.getElementById('ai-response');
|
| 307 |
+
const aiError = document.getElementById('ai-error');
|
| 308 |
+
const aiErrorMessage = document.getElementById('ai-error-message');
|
| 309 |
+
const refineQueryBtn = document.getElementById('refine-query');
|
| 310 |
+
|
| 311 |
+
sendQueryBtn.addEventListener('click', handleAIQuery);
|
| 312 |
+
aiQueryInput.addEventListener('keypress', (e) => {
|
| 313 |
+
if (e.key === 'Enter') handleAIQuery();
|
| 314 |
+
});
|
| 315 |
+
|
| 316 |
+
refineQueryBtn.addEventListener('click', () => {
|
| 317 |
+
aiResponseContainer.classList.add('hidden');
|
| 318 |
+
aiQueryInput.focus();
|
| 319 |
+
});
|
| 320 |
+
|
| 321 |
+
function handleAIQuery() {
|
| 322 |
+
const query = aiQueryInput.value.trim();
|
| 323 |
+
if (!query) return;
|
| 324 |
+
|
| 325 |
+
// Show thinking indicator
|
| 326 |
+
aiThinking.classList.remove('hidden');
|
| 327 |
+
aiResponseContainer.classList.add('hidden');
|
| 328 |
+
aiError.classList.add('hidden');
|
| 329 |
+
|
| 330 |
+
// In a real app, this would be an actual API call to Cloudflare AI Gateway
|
| 331 |
+
// For demo purposes, we'll simulate a response after a delay
|
| 332 |
+
setTimeout(() => {
|
| 333 |
+
aiThinking.classList.add('hidden');
|
| 334 |
+
|
| 335 |
+
// Simulate success or error randomly
|
| 336 |
+
if (Math.random() > 0.2) { // 80% chance of success
|
| 337 |
+
// Generate a plausible AI response
|
| 338 |
+
const responses = [
|
| 339 |
+
`Based on your memories, you visited a charming French bistro called "Le Petit Jardin" in Paris on June 15, 2022. The meal included duck confit and a bottle of Bordeaux wine. You mentioned the service was exceptional.`,
|
| 340 |
+
`Your memory fragments show a restaurant with red awnings and outdoor seating. The name "Chez Marie" appears in one of your photos from that trip. You were there with two friends around 7:30 PM.`,
|
| 341 |
+
`I found references to a Parisian restaurant in your audio recordings from last year. You described it as having "the best onion soup" and located near the Eiffel Tower. The receipt shows you paid €85 for three people.`
|
| 342 |
+
];
|
| 343 |
+
|
| 344 |
+
aiResponse.textContent = responses[Math.floor(Math.random() * responses.length)];
|
| 345 |
+
aiResponseContainer.classList.remove('hidden');
|
| 346 |
+
} else {
|
| 347 |
+
// Simulate error
|
| 348 |
+
aiErrorMessage.textContent = "Could not connect to AI service. Please try again later.";
|
| 349 |
+
aiError.classList.remove('hidden');
|
| 350 |
+
}
|
| 351 |
+
}, 1500 + Math.random() * 2000); // Random delay between 1.5-3.5 seconds
|
| 352 |
+
}
|
| 353 |
+
});
|
| 354 |
+
</script>
|
| 355 |
+
<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=privateuserh/aurarecall1" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
|
| 356 |
+
</html>
|
prompts.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Modify front end AuraRecall Frontend with Cloudflare AI Gateway IntegrationThis document presents an updated React frontend application. It retains the file upload functionality (targeting your backend's ingestion service) and adds a new section to demonstrate interaction with the Cloudflare AI Gateway for sending text queries to an AI model.Key Features:File upload for memory fragments (Audio/Visual).Section for sending text queries to an LLM via the Cloudflare AI Gateway.Displays the response from the AI model.Basic styling using Tailwind CSS.Note:The file upload still targets your custom backend ingestion endpoint (YOUR_BACKEND_INGESTION_URL).The text query targets your Cloudflare AI Gateway endpoint (YOUR_CLOUDFLARE_GATEWAY_URL).You need to replace placeholder URLs and add your Hugging Face token (YOUR_HF_TOKEN).The response from the AI query is just displayed as text; a real application would use this response to refine a query sent to your backend's Memory Retrieval Service.
|