File size: 4,277 Bytes
4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b 4c5156b cbd2d9b |
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 |
<!DOCTYPE html>
<html>
<head>
<title>BERT Predictions</title>
<style>
body {
background-color: #f0f0f0;
font-family: Arial, sans-serif;
margin: 0;
display: flex;
flex-direction: column;
min-height: 100vh;
position: relative;
}
h2 {
color: #333;
}
.content-wrapper {
flex: 1;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
}
.input-container {
max-width: 600px;
width: 100%;
background-color: #fff;
padding: 20px;
border-radius: 8px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
text-align: left;
}
textarea {
width: 100%;
padding: 10px;
font-size: 16px;
margin-bottom: 10px;
}
input[type="submit"] {
padding: 10px 20px;
font-size: 16px;
background-color: #4CAF50;
color: white;
border: none;
cursor: pointer;
display: block;
margin: 0 auto;
transition: background-color 0.3s ease;
}
input[type="submit"]:hover {
background-color: #d62728;
}
.predictions {
text-align: center;
margin-top: 20px;
}
.prediction-item {
margin-bottom: 10px;
padding-left: 20px;
font-size: 18px;
display: inline-block;
text-align: left;
}
.icon {
font-size: 20px;
margin-right: 10px;
vertical-align: middle;
}
.category-price {
color: #1f77b4;
}
.category-packaging {
color: #ff7f0e;
}
.category-product {
color: #2ca02c;
}
.category-rider {
color: #d62728;
}
.category-delivery {
color: #9467bd;
}
.category-shelf {
color: #8c564b;
}
.category-service {
color: #e377c2;
}
.category-seller {
color: #7f7f7f;
}
.logo {
position: absolute;
top: 20px;
right: 20px;
width: 150px;
height: 80px;
}
footer {
width: 100%;
background-color: #ccc;
padding: 10px 0;
text-align: center;
color: #666;
position: relative;
}
</style>
<script>
function validateForm() {
var text = document.forms["predictForm"]["text"].value.trim();
if (text == "") {
alert("Please enter some text");
return false;
}
return true;
}
function clearPredictions() {
var predictionsDiv = document.querySelector('.predictions');
if (predictionsDiv) {
predictionsDiv.innerHTML = '';
}
}
</script>
</head>
<body>
<div class="content-wrapper">
<img src="static/static_logo.png" alt="Company Logo" class="logo">
<div class="input-container">
<h2>Enter Text to Predict Multi-Label Classification</h2>
<form name="predictForm" method="post" onsubmit="clearPredictions(); return validateForm()">
<textarea name="text" rows="4" cols="50">{{ text }}</textarea><br><br>
<input type="submit" value="Predict">
</form>
</div>
{% if predictions %}
<div class="predictions">
<h3>Predicted Labels:</h3>
{% for prediction in predictions %}
<div class="prediction-item category-{{ prediction }}">
<span class="icon">✓</span>{{ prediction }}
</div>
{% endfor %}
</div>
{% endif %}
</div>
<footer>
<p>© 2024 Bikasuzzaman. Machine Learning Engineer.</p>
</footer>
</body>
</html>
|