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catish-tester

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Mertiego commited on Jul 10, 2025

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128f5cd

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1 Parent(s): 66940d9

biraz daha estetik yapabilir misin tema açısından - Initial Deployment

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README.md +7 -5
index.html +275 -19

README.md CHANGED Viewed

@@ -1,10 +1,12 @@
 ---
-title: Catish Tester
-emoji: 🏢
-colorFrom: gray
-colorTo: indigo
 sdk: static
 pinned: false
 ---
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

 ---
+title: catish-tester
+emoji: 🐳
+colorFrom: blue
+colorTo: green
 sdk: static
 pinned: false
+tags:
+  - deepsite
 ---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

index.html CHANGED Viewed

@@ -1,19 +1,275 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
-</html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>AI Image Classifier</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js"></script>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
+    <style>
+        .webcam-box {
+            box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.05), 0 10px 10px -5px rgba(0, 0, 0, 0.02);
+            border-radius: 1.5rem;
+            overflow: hidden;
+            transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1);
+            will-change: transform;
+        }
+        .webcam-box:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
+        }
+        .prediction-bar {
+            transition: width 0.5s ease;
+        }
+        @keyframes pulse {
+            0%, 100% {
+                opacity: 1;
+            }
+            50% {
+                opacity: 0.5;
+            }
+        }
+        .pulse-animation {
+            animation: pulse 2s infinite;
+        }
+    </style>
+</head>
+<body class="bg-gradient-to-br from-indigo-50 via-purple-50 to-pink-50 min-h-screen backdrop-blur-sm">
+    <div class="container mx-auto px-4 py-8">
+        <!-- Header -->
+        <header class="text-center mb-16">
+            <h1 class="text-5xl md:text-6xl font-bold bg-gradient-to-r from-indigo-600 to-pink-500 bg-clip-text text-transparent mb-4">
+                <i class="fas fa-robot mr-3"></i>
+                AI Image Classifier
+            </h1>
+            <p class="text-xl text-indigo-600/80 max-w-2xl mx-auto leading-relaxed">
+                A real-time image classification system powered by <span class="font-medium">Teachable Machine</span> and <span class="font-medium">TensorFlow.js</span>
+            </p>
+            <div class="mt-6 h-1 w-24 bg-gradient-to-r from-indigo-400 to-pink-400 rounded-full mx-auto"></div>
+        </header>
+        <!-- Main Content -->
+        <div class="flex flex-col lg:flex-row gap-8 items-center lg:items-start justify-center">
+            <!-- Webcam Container -->
+            <div class="flex-1 max-w-md">
+                <div class="bg-white/90 p-6 rounded-2xl shadow-xl webcam-box border border-white backdrop-blur-sm">
+                    <h2 class="text-xl font-semibold text-indigo-800 mb-4 flex items-center">
+                        <i class="fas fa-camera mr-2"></i>
+                        Live Camera Feed
+                    </h2>
+                    <div id="webcam-container" class="relative bg-gray-200 rounded-lg overflow-hidden w-full aspect-square flex items-center justify-center">
+                        <div class="text-center p-4">
+                            <i class="fas fa-camera text-4xl text-gray-400 mb-2"></i>
+                            <p class="text-gray-500">Camera feed will appear here</p>
+                        </div>
+                    </div>
+                    <div class="mt-4 flex justify-center">
+                        <button id="start-btn" onclick="init()" class="bg-gradient-to-r from-indigo-500 to-indigo-600 hover:from-indigo-600 hover:to-indigo-700 text-white font-medium py-3 px-8 rounded-xl flex items-center transition-all duration-300 transform hover:scale-[1.02] active:scale-95 shadow-md hover:shadow-lg">
+                            <i class="fas fa-play mr-2"></i>
+                            Start Classification
+                        </button>
+                    </div>
+                </div>
+            </div>
+            <!-- Predictions Container -->
+            <div class="flex-1 max-w-md">
+                <div class="bg-white p-6 rounded-xl shadow-lg h-full">
+                    <h2 class="text-xl font-semibold text-indigo-800 mb-4 flex items-center">
+                        <i class="fas fa-chart-bar mr-2"></i>
+                        Prediction Results
+                    </h2>
+                    <div id="label-container" class="space-y-4">
+                        <div class="text-center py-8">
+                            <i class="fas fa-brain text-4xl text-gray-300 mb-2"></i>
+                            <p class="text-gray-500">Predictions will appear here</p>
+                            <p class="text-sm text-gray-400 mt-2">Start the classifier to see real-time results</p>
+                        </div>
+                    </div>
+                    <div class="mt-6 bg-blue-50 p-4 rounded-lg">
+                        <h3 class="font-medium text-blue-800 mb-2 flex items-center">
+                            <i class="fas fa-info-circle mr-2"></i>
+                            How it works
+                        </h3>
+                        <p class="text-sm text-blue-700">
+                            This AI model analyzes images from your webcam and predicts what it sees based on its training.
+                            The confidence scores show how certain the model is about each prediction.
+                        </p>
+                    </div>
+                </div>
+            </div>
+        </div>
+        <!-- Footer -->
+        <footer class="mt-20 text-center text-gray-500/80 text-sm">
+            <div class="inline-flex items-center space-x-4">
+                <span>Powered by Teachable Machine</span>
+                <span class="w-1 h-1 bg-gray-400 rounded-full"></span>
+                <span>TensorFlow.js</span>
+                <span class="w-1 h-1 bg-gray-400 rounded-full"></span>
+                <span>© 2023 AI Image Classifier</span>
+            </div>
+        </footer>
+    </div>
+    <script type="text/javascript">
+        // the link to your model provided by Teachable Machine export panel
+        const URL = "https://teachablemachine.withgoogle.com/models/4_uQTHOX7L/";
+        let model, webcam, labelContainer, maxPredictions;
+        // Load the image model and setup the webcam
+        async function init() {
+            try {
+                // Change button state
+                const startBtn = document.getElementById('start-btn');
+                startBtn.innerHTML = '<i class="fas fa-spinner fa-spin mr-2"></i> Loading...';
+                startBtn.classList.remove('bg-indigo-600', 'hover:bg-indigo-700');
+                startBtn.classList.add('bg-gray-500', 'cursor-not-allowed');
+                startBtn.disabled = true;
+                const modelURL = URL + "model.json";
+                const metadataURL = URL + "metadata.json";
+                // load the model and metadata
+                model = await tmImage.load(modelURL, metadataURL);
+                maxPredictions = model.getTotalClasses();
+                // Setup webcam
+                const flip = true; // whether to flip the webcam
+                webcam = new tmImage.Webcam(400, 400, flip); // width, height, flip
+                await webcam.setup(); // request access to the webcam
+                await webcam.play();
+                // Clear webcam container and add canvas
+                const webcamContainer = document.getElementById('webcam-container');
+                webcamContainer.innerHTML = '';
+                webcamContainer.appendChild(webcam.canvas);
+                // Setup label container
+                labelContainer = document.getElementById('label-container');
+                labelContainer.innerHTML = '';
+                // Update button state
+                startBtn.innerHTML = '<i class="fas fa-sync-alt mr-2"></i> Analyzing...';
+                startBtn.classList.remove('bg-gray-500');
+                startBtn.classList.add('bg-green-600', 'hover:bg-green-700');
+                startBtn.onclick = null;
+                // Add stop button
+                const stopBtn = document.createElement('button');
+                stopBtn.className = 'ml-4 bg-red-600 hover:bg-red-700 text-white font-medium py-3 px-6 rounded-lg flex items-center transition-all duration-300 transform hover:scale-105';
+                stopBtn.innerHTML = '<i class="fas fa-stop mr-2"></i> Stop';
+                stopBtn.onclick = stopWebcam;
+                startBtn.parentNode.appendChild(stopBtn);
+                window.requestAnimationFrame(loop);
+            } catch (error) {
+                console.error('Error initializing:', error);
+                alert('Error initializing the model. Please check console for details.');
+                // Reset button
+                const startBtn = document.getElementById('start-btn');
+                startBtn.innerHTML = '<i class="fas fa-play mr-2"></i> Start Classification';
+                startBtn.classList.remove('bg-gray-500', 'cursor-not-allowed');
+                startBtn.classList.add('bg-indigo-600', 'hover:bg-indigo-700');
+                startBtn.disabled = false;
+            }
+        }
+        function stopWebcam() {
+            if (webcam) {
+                webcam.stop();
+                document.getElementById('webcam-container').innerHTML = `
+                    <div class="text-center p-4">
+                        <i class="fas fa-camera text-4xl text-gray-400 mb-2"></i>
+                        <p class="text-gray-500">Camera feed will appear here</p>
+                    </div>
+                `;
+                // Reset buttons
+                const startBtn = document.getElementById('start-btn');
+                startBtn.innerHTML = '<i class="fas fa-play mr-2"></i> Start Classification';
+                startBtn.classList.remove('bg-gray-500', 'cursor-not-allowed');
+                startBtn.classList.add('bg-indigo-600', 'hover:bg-indigo-700');
+                startBtn.onclick = init;
+                startBtn.disabled = false;
+                // Remove stop button
+                const stopBtn = startBtn.nextElementSibling;
+                if (stopBtn) stopBtn.remove();
+            }
+        }
+        async function loop() {
+            if (webcam) {
+                webcam.update(); // update the webcam frame
+                await predict();
+                window.requestAnimationFrame(loop);
+            }
+        }
+        // run the webcam image through the image model
+        async function predict() {
+            if (!model || !webcam) return;
+            // predict can take in an image, video or canvas html element
+            const predictions = await model.predict(webcam.canvas);
+            // Sort predictions by probability (highest first)
+            predictions.sort((a, b) => b.probability - a.probability);
+            // Clear previous predictions
+            labelContainer.innerHTML = '';
+            // Display each prediction
+            for (let i = 0; i < maxPredictions; i++) {
+                const prediction = predictions[i];
+                const probabilityPercent = Math.round(prediction.probability * 100);
+                // Create prediction element
+                const predictionEl = document.createElement('div');
+                predictionEl.className = 'space-y-2';
+                // Create label and percentage
+                const labelEl = document.createElement('div');
+                labelEl.className = 'flex justify-between text-sm font-medium text-gray-700';
+                labelEl.innerHTML = `
+                    <span>${prediction.className}</span>
+                    <span>${probabilityPercent}%</span>
+                `;
+                // Create progress bar container
+                const progressContainer = document.createElement('div');
+                progressContainer.className = 'w-full bg-gray-200 rounded-full h-2.5';
+                // Create progress bar
+                const progressBar = document.createElement('div');
+                progressBar.className = 'bg-gradient-to-r from-indigo-500 to-purple-500 h-3 rounded-full prediction-bar shadow-sm';
+                progressBar.style.width = `${probabilityPercent}%`;
+                // Add pulse animation to the highest probability prediction
+                if (i === 0 && probabilityPercent > 70) {
+                    progressBar.classList.add('pulse-animation');
+                }
+                // Assemble elements
+                progressContainer.appendChild(progressBar);
+                predictionEl.appendChild(labelEl);
+                predictionEl.appendChild(progressContainer);
+                // Add to container
+                labelContainer.appendChild(predictionEl);
+            }
+        }
+    </script>
+<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=Mertiego/catish-tester" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
+</html>