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Browse files- static/index.html +66 -0
static/index.html
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<!DOCTYPE html>
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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>AI Image Classifier</title>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
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</head>
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<body class="bg-light">
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<div class="container py-5">
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<h2 class="text-center mb-4">Upload an Image for Classification</h2>
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<form id="uploadForm" class="mb-4">
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<div class="mb-3">
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<input type="file" id="imageInput" class="form-control" accept="image/*" required>
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</div>
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<button type="submit" class="btn btn-primary">Predict</button>
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</form>
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<div id="result" class="alert d-none"></div>
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<img id="preview" src="" class="img-fluid mt-4 d-none" alt="Preview">
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</div>
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<script>
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const form = document.getElementById('uploadForm');
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const imageInput = document.getElementById('imageInput');
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const result = document.getElementById('result');
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const preview = document.getElementById('preview');
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form.addEventListener('submit', async (e) => {
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e.preventDefault();
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const file = imageInput.files[0];
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if (!file) return;
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const formData = new FormData();
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formData.append('file', file);
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// Show image preview
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const reader = new FileReader();
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reader.onload = () => {
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preview.src = reader.result;
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preview.classList.remove('d-none');
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};
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reader.readAsDataURL(file);
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result.classList.add('d-none');
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result.classList.remove('alert-success', 'alert-danger');
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try {
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const response = await fetch('http://127.0.0.1:8000/predict', {
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method: 'POST',
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body: formData
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});
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const data = await response.json();
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result.textContent = `Prediction: ${data.prediction}`;
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result.classList.add('alert', 'alert-success');
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result.classList.remove('d-none');
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} catch (err) {
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result.textContent = 'Error occurred while predicting';
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result.classList.add('alert', 'alert-danger');
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result.classList.remove('d-none');
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}
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});
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</script>
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</body>
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</html>
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