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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Image Classification</title>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.9.0/dist/tf.min.js"></script>
</head>
<body>
<h1>Image Classification</h1>
<input type="file" id="imageInput" accept="image/*">
<img id="inputImage" src="#" alt="Input Image" style="max-width: 300px; max-height: 300px;">
<button onclick="classifyImage()">Classify</button>
<div id="output"></div>
<script>
async function classifyImage() {
const file = document.getElementById('imageInput').files[0];
const formData = new FormData();
formData.append('file', file);
const response = await fetch('http://localhost:5000/classify', {
method: 'POST',
body: formData
});
const result = await response.json();
const outputElement = document.getElementById('output');
outputElement.innerHTML = '<h2>Predictions:</h2>';
result.predictions.forEach(prediction => {
outputElement.innerHTML += `<p>${prediction.className}: ${prediction.probability.toFixed(4)}</p>`;
});
}
document.getElementById('imageInput').addEventListener('change', function(event) {
const file = event.target.files[0];
const imageElement = document.getElementById('inputImage');
imageElement.src = URL.createObjectURL(file);
});
</script>
</body>
</html>
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