Update app.py

app.py

@@ -378,7 +378,7 @@ def identical_train_test_split(output_emb, output_raw, labels, train_percentage)
     indices = torch.randperm(N)  # Randomly shuffle the indices
     
     # Calculate the split index for test (10% of the data)
-    test_split_index = int(N * 0.10)
+    test_split_index = int(N * 0.20)
     
     # Test indices (first 10% of the data)
     test_indices = indices[:test_split_index]