test gemini embeddings

app.py

@@ -226,7 +226,6 @@ class KazTEBLeaderboard:
                         📋 TODO:
                     </h3>
                     <ul style="color: #333; line-height: 1.6; margin-bottom: 0;">
-                        <li><strong>API-based Model Evaluation:</strong> Adding results of closed-source models such as Google's Gemini embeddings.</li>
                         <li><strong>Dynamic Data Loading:</strong> Switching to API-based result fetching for real-time updates without manual JSON uploads.</li>
                     </ul>
                 </div>

results.json

@@ -1,4 +1,27 @@
 [
+  {
+    "name": "google/gemini-embedding-001",
+    "url": "https://ai.google.dev/gemini-api/docs/embeddings",
+    "context_length": "2048",
+    "num_parameters": "Unknown",
+    "emb_dim": 3072,
+    "retrieval": {
+      "KazQADRetrieval": 0.71742,
+      "average_score": 0.71742
+    },
+    "classification": {
+      "KazSandraScoreClassification": 0.623486,
+      "KazSandraPolarityClassification": 0.776855,
+      "average_score": 0.7001705
+    },
+    "bitext_mining": {
+      "KazParcBitextMining_kaz-to-eng": 0.957114,
+      "KazParcBitextMining_eng-to-kaz": 0.960947,
+      "KazParcBitextMining_kaz-to-rus": 0.970439,
+      "KazParcBitextMining_rus-to-kaz": 0.966095,
+      "average_score": 0.96364875
+    }
+  },
   {
     "name": "jinaai/jina-embeddings-v3",
     "url": "https://huggingface.co/jinaai/jina-embeddings-v3",