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Upload result.html
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templates/result.html
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| 1 |
+
<!DOCTYPE html>
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| 2 |
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<html lang="en">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8">
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<title>Training Result</title>
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<style>
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body {
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background: #1e1e2f;
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color: white;
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font-family: Arial, sans-serif;
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padding: 40px;
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}
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.container {
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background: #2e2e42;
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padding: 30px;
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border-radius: 10px;
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| 17 |
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max-width: 900px;
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| 18 |
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margin: auto;
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}
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| 20 |
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h1, h2, h3 {
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color: #00bcd4;
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}
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pre {
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background: #111122;
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padding: 20px;
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border-radius: 10px;
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white-space: pre-wrap;
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overflow-x: auto;
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}
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.download-btn {
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padding: 10px 20px;
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background-color: #00bcd4;
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color: white;
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text-decoration: none;
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border-radius: 6px;
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display: inline-block;
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margin-top: 10px;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin-top: 20px;
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}
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th, td {
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| 45 |
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padding: 10px;
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border: 1px solid #444;
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text-align: center;
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| 48 |
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}
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th {
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background-color: #333;
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}
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input[type="file"], button, input[type="text"] {
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margin-top: 10px;
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| 54 |
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}
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.test-section, .search-section {
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margin-top: 40px;
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| 57 |
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}
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.result-box {
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margin-top: 15px;
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font-weight: bold;
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color: #00ffcc;
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| 62 |
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}
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| 63 |
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.search-results {
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display: flex;
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flex-wrap: wrap;
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| 66 |
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margin-top: 20px;
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| 67 |
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gap: 10px;
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}
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.search-results img {
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width: 150px;
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height: 150px;
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object-fit: cover;
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border-radius: 8px;
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| 74 |
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border: 2px solid #00bcd4;
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| 75 |
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}
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| 76 |
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</style>
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| 77 |
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</head>
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| 78 |
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<body>
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| 79 |
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<div class="container">
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| 80 |
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<h1>β
Model Trained Successfully</h1>
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| 81 |
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<p><strong>Training Time:</strong> {{ training_time }} seconds</p>
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| 82 |
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<p><strong>Final Accuracy:</strong> {{ accuracy }}%</p>
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| 83 |
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| 84 |
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<h3>π¦ Download Trained Model</h3>
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| 85 |
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<a class="download-btn" href="{{ url_for('download_file', filename=zipname) }}">Download Model + Labels + CSV</a>
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| 86 |
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| 87 |
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<h3>π Class Labels</h3>
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| 88 |
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<ul>
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{% for label, index in label_map.items() %}
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<li><strong>{{ index }}:</strong> {{ label }}</li>
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{% endfor %}
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</ul>
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<h3>π Epoch-wise Accuracy and Loss</h3>
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<table>
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<tr><th>Epoch</th><th>Accuracy</th><th>Loss</th></tr>
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| 97 |
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{% for row in history %}
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<tr><td>{{ row.epoch }}</td><td>{{ row.accuracy }}</td><td>{{ row.loss }}</td></tr>
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| 99 |
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{% endfor %}
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| 100 |
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</table>
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| 101 |
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| 102 |
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<h3>π§ Model Summary</h3>
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| 103 |
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<pre>{{ model_summary }}</pre>
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| 104 |
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| 105 |
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<!-- Test Section -->
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| 106 |
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<div class="test-section">
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| 107 |
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<h2>π§ͺ Test the Model with an Image</h2>
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| 108 |
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<form id="testForm" enctype="multipart/form-data">
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<input type="file" name="test_image" required>
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| 110 |
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<input type="hidden" name="model_path" value="{{ model_file }}">
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| 111 |
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<button type="submit">Predict</button>
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| 112 |
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</form>
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| 113 |
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<div class="result-box" id="resultBox"></div>
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| 114 |
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</div>
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| 115 |
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| 116 |
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<div class="chat-search">
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| 117 |
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<h3>ποΈ Search Your Trained Images</h3>
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| 118 |
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<input type="text" id="chatQuery" placeholder="Type something like 'fridge'">
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| 119 |
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<button id="chatSearchBtn">Search</button>
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| 120 |
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<div id="chatResults" style="margin-top:20px; display:grid; grid-template-columns:repeat(auto-fit, minmax(120px, 1fr)); gap:10px;"></div>
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| 121 |
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</div>
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| 122 |
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| 123 |
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<script>
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| 124 |
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const sessionId = "{{ session_id }}";
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| 125 |
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document.getElementById("chatSearchBtn").addEventListener("click", function() {
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| 128 |
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const query = document.getElementById("chatQuery").value;
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| 129 |
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fetch("/chat_search", {
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| 130 |
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method: "POST",
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| 131 |
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headers: { "Content-Type": "application/json" },
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| 132 |
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body: JSON.stringify({query: query, session_id: sessionId})
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| 133 |
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})
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.then(res => res.json())
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| 135 |
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.then(data => {
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const container = document.getElementById("chatResults");
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| 137 |
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container.innerHTML = "";
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| 138 |
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if(data.results && data.results.length > 0){
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| 139 |
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data.results.forEach(item => {
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| 140 |
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const img = document.createElement("img");
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img.src = item.url;
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img.style.width = "100%";
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| 143 |
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img.style.borderRadius = "6px";
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| 144 |
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container.appendChild(img);
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| 145 |
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});
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| 146 |
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} else {
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| 147 |
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container.innerHTML = "<p>No products found for you</p>";
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| 148 |
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}
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| 149 |
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});
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| 150 |
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});
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| 151 |
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</script>
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| 152 |
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| 153 |
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</div>
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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<script>
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| 159 |
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// --- Test Image Prediction ---
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| 160 |
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document.getElementById("testForm").addEventListener("submit", function(e) {
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| 161 |
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e.preventDefault();
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| 162 |
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const formData = new FormData(this);
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| 163 |
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fetch("/test_model", {
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| 165 |
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method: "POST",
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| 166 |
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body: formData
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| 167 |
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})
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| 168 |
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.then(res => res.json())
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| 169 |
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.then(data => {
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| 170 |
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const resultBox = document.getElementById("resultBox");
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| 171 |
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if (data.error) {
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| 172 |
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resultBox.textContent = "β Error: " + data.error;
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| 173 |
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} else {
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| 174 |
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resultBox.innerHTML = `β
Predicted Class: <strong>${data.label}</strong> <br>Confidence: <strong>${data.confidence}%</strong>`;
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| 175 |
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}
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})
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| 177 |
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.catch(err => {
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| 178 |
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document.getElementById("resultBox").textContent = "β Error: " + err;
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| 179 |
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});
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| 180 |
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});
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| 181 |
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| 182 |
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// --- Chat-like Search ---
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| 183 |
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// Handled in the separate script block above
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| 184 |
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</script>
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| 185 |
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</body>
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| 186 |
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</html>
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