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