File size: 8,018 Bytes
f177f7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>X-ray Fracture Detection</title>
<!-- Tailwind CSS for styling -->
<script src="https://cdn.tailwindcss.com"></script>
<!-- Inter font from Google Fonts -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Inter', sans-serif;
}
/* Simple spinner animation */
.loader {
border: 4px solid #f3f3f3;
border-radius: 50%;
border-top: 4px solid #3498db;
width: 40px;
height: 40px;
animation: spin 1s linear infinite;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
</style>
</head>
<body class="bg-gray-100 min-h-screen flex items-center justify-center">
<div class="w-full max-w-lg mx-auto bg-white rounded-xl shadow-lg p-8 md:p-12">
<!-- Header -->
<div class="text-center mb-8">
<h1 class="text-3xl font-bold text-gray-800">Fracture Detection AI</h1>
<p class="text-gray-500 mt-2">Upload an X-ray image to check for fractures.</p>
</div>
<!-- File Upload Section -->
<div>
<!-- Styled file input -->
<label for="file-upload" class="w-full cursor-pointer bg-gray-200 text-gray-700 font-semibold py-3 px-4 rounded-lg inline-flex items-center justify-center hover:bg-gray-300 transition duration-300">
<svg class="w-6 h-6 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-8l-4-4m0 0L8 8m4-4v12"></path></svg>
<span id="file-label">Select an X-ray Image</span>
</label>
<input id="file-upload" type="file" class="hidden" accept="image/*">
</div>
<!-- Image Preview -->
<div id="image-preview-container" class="mt-6 text-center hidden">
<p class="text-sm font-medium text-gray-600 mb-2">Image Preview:</p>
<img id="image-preview" src="#" alt="Image preview" class="max-w-xs mx-auto rounded-lg shadow-md"/>
</div>
<!-- Predict Button -->
<div class="mt-8">
<button id="predict-button" class="w-full bg-blue-600 text-white font-bold py-3 px-4 rounded-lg hover:bg-blue-700 focus:outline-none focus:ring-4 focus:ring-blue-300 transition duration-300 disabled:bg-gray-400 disabled:cursor-not-allowed" disabled>
Upload & Predict
</button>
</div>
<!-- Results Section -->
<div id="results" class="mt-8 text-center hidden">
<!-- Spinner -->
<div id="loader" class="loader mx-auto hidden"></div>
<!-- Result Text -->
<div id="result-text" class="mt-4 p-4 rounded-lg"></div>
</div>
<!-- Error Message -->
<div id="error-message" class="mt-6 text-center text-red-600 font-semibold hidden"></div>
</div>
<script>
const fileUpload = document.getElementById('file-upload');
const fileLabel = document.getElementById('file-label');
const imagePreviewContainer = document.getElementById('image-preview-container');
const imagePreview = document.getElementById('image-preview');
const predictButton = document.getElementById('predict-button');
const resultsDiv = document.getElementById('results');
const resultText = document.getElementById('result-text');
const loader = document.getElementById('loader');
const errorMessage = document.getElementById('error-message');
let selectedFile = null;
// Listen for file selection
fileUpload.addEventListener('change', (event) => {
selectedFile = event.target.files[0];
if (selectedFile) {
// Update label text
fileLabel.textContent = selectedFile.name;
// Show image preview
const reader = new FileReader();
reader.onload = (e) => {
imagePreview.src = e.target.result;
imagePreviewContainer.classList.remove('hidden');
};
reader.readAsDataURL(selectedFile);
// Enable predict button
predictButton.disabled = false;
// Reset previous results
resultsDiv.classList.add('hidden');
errorMessage.classList.add('hidden');
}
});
// Listen for predict button click
predictButton.addEventListener('click', async () => {
if (!selectedFile) return;
// Prepare for API call
const formData = new FormData();
formData.append('file', selectedFile);
// Show loading spinner and hide previous results
resultsDiv.classList.remove('hidden');
loader.classList.remove('hidden');
resultText.classList.add('hidden');
errorMessage.classList.add('hidden');
predictButton.disabled = true;
try {
// IMPORTANT: This assumes your FastAPI server is running on http://127.0.0.1:8000
const response = await fetch('http://127.0.0.1:8000/predict', {
method: 'POST',
body: formData,
});
if (!response.ok) {
const errorData = await response.json();
throw new Error(errorData.detail || `Server error: ${response.statusText}`);
}
const data = await response.json();
// Display the result
displayResult(data);
} catch (error) {
// Display error message
console.error('Error:', error);
errorMessage.textContent = `Error: Could not connect to the API or the file is invalid. Make sure the server is running. Details: ${error.message}`;
errorMessage.classList.remove('hidden');
resultsDiv.classList.add('hidden');
} finally {
// Hide loader and re-enable button
loader.classList.add('hidden');
predictButton.disabled = false;
}
});
function displayResult(data) {
const prediction = data.prediction;
const confidence = parseFloat(data.confidence) * 100;
// Clear previous styles
resultText.classList.remove('bg-green-100', 'text-green-800', 'bg-red-100', 'text-red-800', 'bg-yellow-100', 'text-yellow-800');
let resultHTML = `<p class="text-xl font-bold">Prediction: <span class="capitalize">${prediction}</span></p>
<p class="text-md mt-1">Confidence: ${confidence.toFixed(2)}%</p>`;
// Style based on prediction
if (prediction.toLowerCase().includes('fracture')) {
resultText.classList.add('bg-red-100', 'text-red-800');
} else {
resultText.classList.add('bg-green-100', 'text-green-800');
}
resultText.innerHTML = resultHTML;
resultText.classList.remove('hidden');
}
</script>
</body>
</html>
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