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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Phishing Email Detector</title>
<style>
body { font-family: sans-serif; max-width: 700px; margin: 50px auto; padding: 20px; border: 1px solid #eee; border-radius: 8px; }
textarea { width: 100%; min-height: 150px; margin-bottom: 10px; }
button { padding: 10px 15px; cursor: pointer; }
.result-summary { margin-top: 20px; padding: 15px; border-radius: 5px; border: 1px solid; }
.result-details { margin-top: 10px; padding: 10px; background-color: #f8f9fa; border: 1px dashed #ccc; border-radius: 4px; font-size: 0.9em; }
.result-details ul { padding-left: 20px; margin: 5px 0;}
/* Update CSS classes based on simplified label */
.suspicious { background-color: #f8d7da; border-color: #f5c6cb; color: #721c24; }
.legitimate { background-color: #d4edda; border-color: #c3e6cb; color: #155724; }
.unknown { background-color: #e2e3e5; border-color: #d6d8db; color: #383d41; }
.error { background-color: #f8d7da; border-color: #f5c6cb; color: #721c24; margin-top: 15px; padding: 10px;}
.disclaimer { font-size: 0.8em; color: #666; margin-top: 30px; border-top: 1px solid #eee; padding-top: 10px;}
</style>
</head>
<body>
<h1>Phishing Email Detector</h1>
<p>Enter the full text content of an email below to analyze it.</p>
<p><strong>Disclaimer:</strong> This tool (using model <code>{{ model_name }}</code>) is for educational purposes and may not be accurate. Do not rely solely on this for security decisions.</p>
{% if error and not result %}
<div class="error">
<strong>Error:</strong> {{ error }}
</div>
{% endif %}
<form method="post">
<textarea name="text" placeholder="Paste email body here...">{{ text }}</textarea><br>
<button type="submit">Analyze Email</button>
</form>
{% if result and friendly_label %}
<div class="result-summary {% if 'Suspicious' in friendly_label %}suspicious{% elif 'Legitimate' in friendly_label %}legitimate{% else %}unknown{% endif %}">
<h2>Analysis Result Summary</h2>
<p><strong>Overall Assessment:</strong> {{ friendly_label }}</p>
<p><strong>Top Prediction:</strong> {{ result.prediction }}</p> <p><strong>Confidence Score:</strong> {{ "%.4f"|format(result.confidence) }}</p>
</div>
<div class="result-details">
<strong>Detailed Probabilities:</strong>
<ul>
{% for label, probability in result.all_probabilities.items() %}
<li>{{ label }}: {{ "%.4f"|format(probability) }}</li>
{% endfor %}
</ul>
</div>
{% elif error %}
<div class="error">
<strong>Error during analysis:</strong> {{ error }}
</div>
{% endif %}
<div class="disclaimer">
<strong>Reminder:</strong> Phishing detection is complex. This model provides probabilities for specific categories based on the text. Always look for other signs like sender addresses, urgent requests, unexpected attachments, and suspicious links.
</div>
</body>
</html>