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<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Image Upload</title> | |
<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet"> | |
<style> | |
body { | |
font-family: Arial, sans-serif; | |
} | |
.clickable-image { | |
cursor: pointer; | |
border: 2px solid #ddd; | |
border-radius: 8px; | |
transition: border-color 0.3s; | |
} | |
.clickable-image:hover { | |
border-color: #007bff; | |
} | |
</style> | |
</head> | |
<body class="flex flex-col items-center justify-center h-screen bg-gray-100"> | |
<h1 class="text-2xl font-bold mb-4">Upload an Image</h1> | |
<input type="file" id="fileInput" accept="image/*" capture="environment" class="hidden"> | |
<button id="cameraButton" class="bg-red-500 text-white px-4 py-2 rounded">Take Photo</button> | |
<button id="galleryButton" class="bg-green-500 text-white px-4 py-2 rounded">Choose from Gallery</button> | |
<br> | |
<br> | |
<br> | |
<!-- <img src="/upload.png" alt="Click to Upload" class="clickable-image mb-4" onclick="triggerFileInput()"> --> | |
<!-- Dropdown for selecting model_id --> | |
<select id="modelSelect" class="mb-4 px-4 py-2 border rounded"> | |
<option value="grian/1">Grian Model</option> | |
<option value="wheat-dataset-new/2">Wheat Dataset New Model</option> | |
</select> | |
<button onclick="uploadImage()" class="bg-blue-500 text-white px-4 py-2 rounded">Upload</button> | |
<div id="output" class="mt-4"></div> | |
<script> | |
document.addEventListener('DOMContentLoaded', function() { | |
const fileInput = document.getElementById('fileInput'); | |
const cameraButton = document.getElementById('cameraButton'); | |
const galleryButton = document.getElementById('galleryButton'); | |
cameraButton.addEventListener('click', function() { | |
fileInput.setAttribute('capture', 'environment'); | |
fileInput.click(); | |
}); | |
galleryButton.addEventListener('click', function() { | |
fileInput.removeAttribute('capture'); | |
fileInput.click(); | |
}); | |
}); | |
function triggerFileInput() { | |
document.getElementById('fileInput').click(); | |
} | |
async function uploadImage() { | |
const fileInput = document.getElementById('fileInput'); | |
const modelSelect = document.getElementById('modelSelect'); | |
const output = document.getElementById('output'); | |
const file = fileInput.files[0]; | |
const modelId = modelSelect.value; | |
if (!file) { | |
output.innerHTML = 'No image selected.'; | |
return; | |
} | |
const formData = new FormData(); | |
formData.append('image', file); | |
formData.append('model_id', modelId); // Append model_id to FormData | |
output.innerHTML = 'Uploading...'; | |
try { | |
const response = await fetch('/predict_wheat', { | |
method: 'POST', | |
body: formData | |
}); | |
const result = await response.json(); | |
const predictedImageSrc = `data:image/jpeg;base64,${result.predicted_image}`; | |
output.innerHTML = ` | |
<p>${result.message}</p> | |
<img src="${predictedImageSrc}" alt="Predicted Image" class="mt-4"> | |
`; | |
} catch (error) { | |
output.innerHTML = 'Failed to get prediction'; | |
console.error(error); | |
} | |
} | |
</script> | |
</body> | |
</html> | |