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Denizfe commited on Jul 10, 2025

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d121696

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1 Parent(s): 89b58f2

bildirim gönderilmedi - Initial Deployment

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README.md +7 -5
index.html +527 -19

README.md CHANGED Viewed

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

 ---
+title: machinelearning
+emoji: 🐳
+colorFrom: red
+colorTo: red
 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 +1,527 @@
-<!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="tr">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Teachable Machine Görüntü Modeli</title>
+    <style>
+        .notification {
+            position: fixed;
+            top: 50%;
+            left: 50%;
+            transform: translate(-50%, -50%);
+            background-color: #3498db;
+            color: white;
+            padding: 25px 35px;
+            border-radius: 16px;
+            box-shadow: 0 15px 30px rgba(0,0,0,0.3);
+            z-index: 1000;
+            font-size: 1.5em;
+            text-align: center;
+            min-width: 300px;
+            animation: fadeIn 0.3s;
+            font-weight: bold;
+            display: flex;
+            align-items: center;
+            justify-content: space-between;
+        }
+        .notification-close {
+            background: none;
+            border: none;
+            color: white;
+            font-size: 1.2em;
+            cursor: pointer;
+            margin-left: 20px;
+            padding: 5px;
+        }
+        @keyframes fadeIn {
+            from { opacity: 0; transform: translate(-50%, -70%); }
+            to { opacity: 1; transform: translate(-50%, -50%); }
+        }
+        @keyframes fadeOut {
+            from { opacity: 1; }
+            to { opacity: 0; }
+        }
+        body {
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            margin: 0;
+            padding: 20px;
+            background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%);
+            min-height: 100vh;
+            color: #333;
+        }
+        .container {
+            background-color: white;
+            border-radius: 16px;
+            box-shadow: 0 10px 30px rgba(0,0,0,0.1);
+            padding: 40px;
+            max-width: 900px;
+            width: 100%;
+            margin: 20px auto;
+            transition: all 0.3s ease;
+        }
+        .container:hover {
+            box-shadow: 0 15px 35px rgba(0,0,0,0.15);
+        }
+        h1 {
+            color: #2c3e50;
+            margin-bottom: 15px;
+            font-size: 2.2rem;
+            text-align: center;
+            position: relative;
+            padding-bottom: 15px;
+        }
+        h1:after {
+            content: '';
+            position: absolute;
+            bottom: 0;
+            left: 50%;
+            transform: translateX(-50%);
+            width: 80px;
+            height: 3px;
+            background: linear-gradient(to right, #3498db, #9b59b6);
+            border-radius: 3px;
+        }
+        p {
+            color: #7f8c8d;
+            margin-bottom: 20px;
+        }
+        #webcam-container {
+            margin: 25px 0;
+            border: 3px solid #3498db;
+            border-radius: 12px;
+            overflow: hidden;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            min-height: 300px;
+            background: linear-gradient(45deg, #f8f9fa, #e9ecef);
+            box-shadow: 0 8px 20px rgba(0,0,0,0.1);
+            position: relative;
+            transition: all 0.3s;
+        }
+        #webcam-container:hover {
+            box-shadow: 0 12px 25px rgba(0,0,0,0.15);
+        }
+        #webcam-container:before {
+            content: "Kamera yükleniyor...";
+            position: absolute;
+            color: #7f8c8d;
+            font-size: 1em;
+            font-weight: 500;
+        }
+        #webcam-container video,
+        #webcam-container canvas {
+            display: block;
+            max-width: 100%;
+            max-height: 100%;
+            object-fit: contain;
+        }
+        #label-container {
+            margin: 25px 0;
+            font-size: 1.2em;
+            font-weight: bold;
+            background: linear-gradient(45deg, #f8f9fa, #e9ecef);
+            padding: 20px;
+            border-radius: 12px;
+            width: 100%;
+            box-shadow: 0 5px 15px rgba(0,0,0,0.05);
+        }
+        #label-container div {
+            transition: all 0.3s;
+        }
+        #label-container div:hover {
+            transform: translateX(5px);
+            background-color: rgba(52, 152, 219, 0.2) !important;
+        }
+        .button-group {
+            display: flex;
+            gap: 10px;
+            margin: 15px 0;
+            flex-wrap: wrap;
+            justify-content: center;
+        }
+        button {
+            padding: 14px 28px;
+            font-size: 1em;
+            cursor: pointer;
+            background: linear-gradient(to right, #3498db, #2980b9);
+            color: white;
+            border: none;
+            border-radius: 50px;
+            transition: all 0.3s;
+            font-weight: 600;
+            box-shadow: 0 4px 6px rgba(0,0,0,0.1);
+            position: relative;
+            overflow: hidden;
+        }
+        button:hover {
+            transform: translateY(-3px);
+            box-shadow: 0 6px 10px rgba(0,0,0,0.15);
+        }
+        button:active {
+            transform: translateY(1px);
+        }
+        button:before {
+            content: '';
+            position: absolute;
+            top: 0;
+            left: -100%;
+            width: 100%;
+            height: 100%;
+            background: linear-gradient(90deg, transparent, rgba(255,255,255,0.2), transparent);
+            transition: 0.5s;
+        }
+        button:hover:before {
+            left: 100%;
+        }
+        button.secondary {
+            background: linear-gradient(to right, #95a5a6, #7f8c8d);
+        }
+        #imagePreview {
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            min-height: 200px;
+            border: 2px dashed #bdc3c7;
+            border-radius: 12px;
+            padding: 20px;
+            margin: 20px 0;
+            background-color: white;
+            transition: all 0.3s;
+            position: relative;
+            overflow: hidden;
+        }
+        #imagePreview:hover {
+            border-color: #3498db;
+            box-shadow: 0 5px 15px rgba(0,0,0,0.05);
+        }
+        .upload-section {
+            margin: 30px 0;
+            padding: 25px;
+            background: linear-gradient(45deg, #f8f9fa, #e9ecef);
+            border-radius: 12px;
+            box-shadow: 0 5px 15px rgba(0,0,0,0.05);
+            transition: all 0.3s;
+        }
+        .upload-section:hover {
+            box-shadow: 0 8px 20px rgba(0,0,0,0.1);
+        }
+        #fileError {
+            color: #e74c3c;
+            margin-top: 10px;
+            font-size: 0.9em;
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>Teachable Machine Görüntü Modeli</h1>
+        <p>Modeli ve kamerayı başlatmak için butona tıklayın.</p>
+        <div class="button-group">
+            <button type="button" onclick="toggleCamera()" id="cameraBtn">Kamerayı Aç</button>
+        </div>
+        <div id="webcam-container"></div>
+        <div class="button-group" style="margin-top: 20px;">
+            <button type="button" onclick="predict()" id="predictBtn" disabled>Tahmin Et</button>
+        </div>
+        <div class="upload-section">
+            <h2>Veya Resim Yükle</h2>
+            <div class="button-group">
+                <input type="file" id="fileUpload" accept="image/*" style="display: none;">
+                <button type="button" onclick="document.getElementById('fileUpload').click()" class="secondary">Resim Seç</button>
+            </div>
+            <div id="fileError"></div>
+            <div id="imagePreview"></div>
+        </div>
+        <div id="label-container"></div>
+    </div>
+    <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>
+    <script type="text/javascript">
+        // Notification function - shows only once on page load
+        function showNotification(message) {
+            // Check if notification was already shown
+            if (sessionStorage.getItem('notificationShown')) return;
+            const notification = document.createElement('div');
+            notification.className = 'notification';
+            notification.innerHTML = `
+                <span>${message}</span>
+                <button class="notification-close">&times;</button>
+            `;
+            notification.querySelector('.notification-close').onclick = () => {
+                notification.remove();
+            };
+            document.body.appendChild(notification);
+            sessionStorage.setItem('notificationShown', 'true');
+        }
+        // Show welcome notification on page load
+        window.onload = function() {
+            init(); // Original init call
+            showNotification('Hoş geldiniz!');
+        };
+        // Daha fazla API fonksiyonu burada bulunabilir:
+        // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image
+        // Teachable Machine dışa aktarma panelinden sağlanan modelinizin bağlantısı
+        const URL = "https://teachablemachine.withgoogle.com/models/72Gu94mWN1/";
+        let model, webcam, labelContainer, maxPredictions;
+        let cameraActive = false;
+        // Kamerayı aç/kapat
+        async function toggleCamera() {
+            if (!model) {
+                // Model yüklenmemişse önce yükle
+                const modelURL = URL + "model.json";
+                const metadataURL = URL + "metadata.json";
+                model = await tmImage.load(modelURL, metadataURL);
+                maxPredictions = model.getTotalClasses();
+            }
+            if (!cameraActive) {
+                // Kamerayı başlat
+                const flip = true;
+                webcam = new tmImage.Webcam(400, 400, flip);
+                await webcam.setup();
+                await webcam.play();
+                document.getElementById("webcam-container").innerHTML = '';
+                document.getElementById("webcam-container").appendChild(webcam.canvas);
+                document.getElementById('cameraBtn').textContent = 'Kamerayı Kapat';
+                document.getElementById('predictBtn').disabled = false;
+                cameraActive = true;
+                // Optimize for smoother video
+                let lastTime = 0;
+                const fps = 30;
+                const interval = 1000 / fps;
+                const optimizedLoop = async (timestamp) => {
+                    if (!cameraActive) return;
+                    if (timestamp - lastTime >= interval) {
+                        webcam.update(); // web kamerası çerçevesini güncelle
+                        lastTime = timestamp;
+                    }
+                    requestAnimationFrame(optimizedLoop);
+                };
+                requestAnimationFrame(optimizedLoop);
+                // Optimized prediction loop for webcam
+                const predictWebcam = async () => {
+                    if (!cameraActive) return;
+                    // Predict the current webcam frame
+                    const prediction = await model.predict(webcam.canvas);
+                    // Sort predictions by probability (highest first)
+                    prediction.sort((a, b) => b.probability - a.probability);
+                    // Update label container
+                    const labelContainer = document.getElementById('label-container');
+                    labelContainer.innerHTML = '';
+                    for (let i = 0; i < maxPredictions; i++) {
+                        const probabilityPercent = (prediction[i].probability * 100).toFixed(2);
+                        // Show notification if probability > 80%
+                        if (prediction[i].probability > 0.8) {
+                            showNotification(`Bu bir ${prediction[i].className}`);
+                        }
+                        const classPrediction = `
+                            <div style="margin: 8px 0; padding: 8px; background-color: rgba(52, 152, 219, 0.1); border-radius: 4px;">
+                                <strong>${prediction[i].className}:</strong> ${probabilityPercent}%
+                                <div style="height: 5px; background-color: #ecf0f1; margin-top: 5px; border-radius: 3px;">
+                                    <div style="width: ${probabilityPercent}%; height: 100%; background-color: #3498db; border-radius: 3px;"></div>
+                                </div>
+                            </div>`;
+                        labelContainer.innerHTML += classPrediction;
+                    }
+                    // Call this function again on the next animation frame
+                    requestAnimationFrame(predictWebcam);
+                };
+                // Start the prediction loop
+                predictWebcam();
+            } else {
+                // Kamerayı kapat
+                if (webcam) {
+                    webcam.stop();
+                }
+                document.getElementById('cameraBtn').textContent = 'Kamerayı Aç';
+                document.getElementById("webcam-container").innerHTML = '';
+                cameraActive = false;
+            }
+        }
+        // Modeli yükle (başlangıçta)
+        async function init() {
+            if (!model) {
+                const modelURL = URL + "model.json";
+                const metadataURL = URL + "metadata.json";
+                model = await tmImage.load(modelURL, metadataURL);
+                maxPredictions = model.getTotalClasses();
+                document.getElementById('predictBtn').disabled = false;
+            }
+        }
+        // Sayfa yüklendiğinde modeli yükle
+        window.onload = init;
+        // Web kamerası görüntüsünü görüntü modelinden geçir
+        // Maximum file size in bytes (2MB)
+        const MAX_FILE_SIZE = 2 * 1024 * 1024;
+        const ALLOWED_TYPES = ['image/jpeg', 'image/png', 'image/gif', 'image/webp'];
+        // Handle file upload
+        document.getElementById('fileUpload').addEventListener('change', function(e) {
+            const file = e.target.files[0];
+            const errorElement = document.getElementById('fileError');
+            const previewElement = document.getElementById('imagePreview');
+            // Reset previous state
+            errorElement.textContent = '';
+            previewElement.innerHTML = '';
+            if (!file) return;
+            // Validate file type
+            if (!ALLOWED_TYPES.includes(file.type)) {
+                errorElement.textContent = 'Geçersiz dosya türü. Sadece JPG, PNG, GIF veya WEBP yükleyebilirsiniz.';
+                return;
+            }
+            // Validate file size
+            if (file.size > MAX_FILE_SIZE) {
+                errorElement.textContent = 'Dosya boyutu çok büyük. Maksimum 2MB boyutunda dosya yükleyebilirsiniz.';
+                return;
+            }
+            // Create preview
+            const reader = new FileReader();
+            reader.onload = function(e) {
+                const img = document.createElement('img');
+                img.src = e.target.result;
+                img.style.maxWidth = '200px';
+                img.style.maxHeight = '200px';
+                previewElement.appendChild(img);
+                // Predict on the uploaded image
+                predictImage(img);
+            };
+            reader.readAsDataURL(file);
+        });
+        let lastDetectedClass = null;
+        let lastNotificationTime = 0;
+        // Predict on uploaded image (with live updates)
+        async function predictImage(imageElement) {
+            if (!model) {
+                await init();
+            }
+            // Clear previous results
+            const labelContainer = document.getElementById('label-container');
+            labelContainer.innerHTML = '';
+            // Start continuous prediction
+            const predictLoop = async () => {
+                if (!imageElement.parentNode) return; // Stop if image was removed
+                const prediction = await model.predict(imageElement);
+                // Sort predictions by probability (highest first)
+                prediction.sort((a, b) => b.probability - a.probability);
+                labelContainer.innerHTML = '';
+                for (let i = 0; i < maxPredictions; i++) {
+                    const probabilityPercent = (prediction[i].probability * 100).toFixed(2);
+                    // Show notification if probability > 80% and class changed or 5 seconds passed
+                    const currentTime = Date.now();
+                    if (prediction[i].probability > 0.8 &&
+                        (prediction[i].className !== lastDetectedClass || currentTime - lastNotificationTime > 5000)) {
+                        showNotification(`Bu bir ${prediction[i].className}`);
+                        lastDetectedClass = prediction[i].className;
+                        lastNotificationTime = currentTime;
+                    }
+                    const classPrediction = `
+                        <div style="margin: 8px 0; padding: 8px; background-color: rgba(52, 152, 219, 0.1); border-radius: 4px;">
+                            <strong>${prediction[i].className}:</strong> ${probabilityPercent}%
+                            <div style="height: 5px; background-color: #ecf0f1; margin-top: 5px; border-radius: 3px;">
+                                <div style="width: ${probabilityPercent}%; height: 100%; background-color: #3498db; border-radius: 3px;"></div>
+                            </div>
+                        </div>`;
+                    labelContainer.innerHTML += classPrediction;
+                }
+                requestAnimationFrame(predictLoop);
+            };
+            predictLoop();
+        }
+        async function predict() {
+            if (!model) {
+                alert('Lütfen önce modeli başlatın!');
+                return;
+            }
+            try {
+                // Only predict if we have an active source
+                if (!webcam?.canvas && !document.querySelector('#imagePreview img')) return;
+                // predict fonksiyonu bir resim, video veya canvas html öğesi alabilir
+                const prediction = await model.predict(webcam?.canvas || document.querySelector('#imagePreview img'), { flipHorizontal: false });
+                // Clear previous results
+                labelContainer.innerHTML = '';
+                // Sort predictions by probability (highest first)
+                prediction.sort((a, b) => b.probability - a.probability);
+                for (let i = 0; i < maxPredictions; i++) {
+                    const probabilityPercent = (prediction[i].probability * 100).toFixed(2);
+                    const classPrediction = `
+                        <div style="margin: 8px 0; padding: 8px; background-color: rgba(52, 152, 219, 0.1); border-radius: 4px;">
+                            <strong>${prediction[i].className}:</strong> ${probabilityPercent}%
+                            <div style="height: 5px; background-color: #ecf0f1; margin-top: 5px; border-radius: 3px;">
+                                <div style="width: ${probabilityPercent}%; height: 100%; background-color: #3498db; border-radius: 3px;"></div>
+                            </div>
+                        </div>`;
+                    labelContainer.innerHTML += classPrediction;
+                }
+            } catch (error) {
+                console.error('Prediction error:', error);
+                labelContainer.innerHTML = '<div style="color: #e74c3c;">Tahmin yapılırken bir hata oluştu. Lütfen kamera veya resim yüklediğinizden emin olun.</div>';
+            }
+        }
+    </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=Denizfe/machinelearning" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
+</html>