koyu mor gri tema ekle ve görünüşü değiştir - Follow Up Deployment
Browse files- index.html +23 -22
index.html
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@@ -9,9 +9,10 @@
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<style>
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.prediction-bar {
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height: 24px;
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background: linear-gradient(90deg, #
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border-radius: 12px;
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transition: width 0.3s ease;
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}
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.webcam-feed {
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border-radius: 16px;
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@@ -28,52 +29,52 @@
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}
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</style>
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</head>
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<body class="bg-gradient-to-br from-gray-
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<div class="container mx-auto px-4 py-12">
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<div class="max-w-4xl mx-auto">
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<!-- Header -->
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<div class="text-center mb-12">
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<h1 class="text-4xl font-bold text-
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<i class="fas fa-robot text-
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</h1>
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<p class="text-gray-
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A real-time image classification system powered by Teachable Machine.
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Point your camera at objects to see the AI's predictions.
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</p>
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</div>
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<!-- Main Content -->
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<div class="bg-
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<div class="p-6 md:p-8">
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<!-- Webcam Container -->
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<div class="flex flex-col md:flex-row gap-8">
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<div class="flex-1">
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<div class="mb-4 flex justify-between items-center">
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<h2 class="text-xl font-semibold text-
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<i class="fas fa-camera text-
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</h2>
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<div class="flex gap-2">
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<button id="startBtn" onclick="init()" class="bg-
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<i class="fas fa-play mr-2"></i> Start Camera
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</button>
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<label for="fileUpload" class="bg-purple-
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<i class="fas fa-upload mr-2"></i> Upload Image
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<input id="fileUpload" type="file" accept="image/*" class="hidden" onchange="handleImageUpload(this)">
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</label>
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</div>
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</div>
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<div id="webcam-container" class="webcam-feed bg-gray-
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<div class="text-center p-4">
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<i class="fas fa-camera text-
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<p class="text-gray-
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</div>
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</div>
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</div>
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<!-- Predictions Container -->
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<div class="flex-1">
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<h2 class="text-xl font-semibold text-
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<i class="fas fa-chart-bar text-purple-
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</h2>
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<div id="label-container" class="space-y-4">
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<div class="bg-gray-100 p-6 rounded-lg text-center">
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@@ -86,11 +87,11 @@
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</div>
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<!-- Instructions -->
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<div class="mt-8 bg-
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<h3 class="font-medium text-
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<i class="fas fa-info-circle mr-2"></i> How to use
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</h3>
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<ol class="list-decimal list-inside text-
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<li>Click "Start Camera" and allow access to your webcam</li>
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<li>Point your camera at objects you've trained the model to recognize</li>
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<li>View real-time predictions with confidence percentages</li>
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@@ -101,7 +102,7 @@
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</div>
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<!-- Footer -->
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<div class="mt-8 text-center text-gray-
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<p>Powered by Teachable Machine and TensorFlow.js</p>
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</div>
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</div>
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@@ -155,8 +156,8 @@
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}
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startBtn.innerHTML = '<i class="fas fa-check-circle mr-2"></i> Running';
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startBtn.classList.remove('bg-
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startBtn.classList.add('bg-
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isRunning = true;
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window.requestAnimationFrame(loop);
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<style>
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.prediction-bar {
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height: 24px;
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background: linear-gradient(90deg, #7e22ce 0%, #a855f7 100%);
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border-radius: 12px;
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transition: width 0.3s ease;
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box-shadow: 0 0 10px rgba(168, 85, 247, 0.5);
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}
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.webcam-feed {
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border-radius: 16px;
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}
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</style>
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</head>
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<body class="bg-gradient-to-br from-gray-900 to-purple-900 min-h-screen text-gray-100">
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<div class="container mx-auto px-4 py-12">
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<div class="max-w-4xl mx-auto">
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<!-- Header -->
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<div class="text-center mb-12">
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+
<h1 class="text-4xl font-bold text-purple-300 mb-2">
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<i class="fas fa-robot text-purple-400 mr-2"></i> AI Vision Classifier
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</h1>
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<p class="text-gray-300 max-w-lg mx-auto">
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A real-time image classification system powered by Teachable Machine.
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Point your camera at objects to see the AI's predictions.
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</p>
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</div>
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<!-- Main Content -->
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<div class="bg-gray-800 rounded-xl shadow-lg overflow-hidden border border-purple-800">
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<div class="p-6 md:p-8">
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<!-- Webcam Container -->
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<div class="flex flex-col md:flex-row gap-8">
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<div class="flex-1">
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<div class="mb-4 flex justify-between items-center">
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<h2 class="text-xl font-semibold text-purple-300">
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<i class="fas fa-camera text-purple-400 mr-2"></i> Live Feed
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</h2>
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<div class="flex gap-2">
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<button id="startBtn" onclick="init()" class="bg-purple-700 hover:bg-purple-600 text-white px-4 py-2 rounded-lg transition flex items-center">
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<i class="fas fa-play mr-2"></i> Start Camera
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</button>
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<label for="fileUpload" class="bg-purple-800 hover:bg-purple-700 text-white px-4 py-2 rounded-lg transition flex items-center cursor-pointer">
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<i class="fas fa-upload mr-2"></i> Upload Image
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<input id="fileUpload" type="file" accept="image/*" class="hidden" onchange="handleImageUpload(this)">
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</label>
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</div>
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</div>
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<div id="webcam-container" class="webcam-feed bg-gray-700 w-full aspect-square flex items-center justify-center rounded-lg overflow-hidden border border-purple-800">
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<div class="text-center p-4">
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<i class="fas fa-camera text-purple-400 text-4xl mb-2"></i>
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<p class="text-gray-300">Camera feed will appear here</p>
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</div>
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</div>
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</div>
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<!-- Predictions Container -->
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<div class="flex-1">
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<h2 class="text-xl font-semibold text-purple-300 mb-4">
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<i class="fas fa-chart-bar text-purple-400 mr-2"></i> Predictions
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</h2>
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<div id="label-container" class="space-y-4">
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<div class="bg-gray-100 p-6 rounded-lg text-center">
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</div>
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<!-- Instructions -->
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<div class="mt-8 bg-purple-900/30 p-4 rounded-lg border border-purple-800">
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<h3 class="font-medium text-purple-300 mb-2 flex items-center">
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| 92 |
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<i class="fas fa-info-circle text-purple-400 mr-2"></i> How to use
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</h3>
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<ol class="list-decimal list-inside text-purple-200 space-y-1 text-sm">
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<li>Click "Start Camera" and allow access to your webcam</li>
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<li>Point your camera at objects you've trained the model to recognize</li>
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<li>View real-time predictions with confidence percentages</li>
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</div>
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<!-- Footer -->
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<div class="mt-8 text-center text-gray-400 text-sm">
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<p>Powered by Teachable Machine and TensorFlow.js</p>
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</div>
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</div>
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}
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startBtn.innerHTML = '<i class="fas fa-check-circle mr-2"></i> Running';
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startBtn.classList.remove('bg-purple-700', 'hover:bg-purple-600');
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startBtn.classList.add('bg-purple-600', 'hover:bg-purple-500');
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isRunning = true;
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window.requestAnimationFrame(loop);
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