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app.py

@@ -64,7 +64,7 @@ def knn_get_score(knn, k, cat, vec):
     kscores = scores[sortinds][:k]
     st.write('kscores.shape', kscores.shape)
     # Get actual sorted similiarity scores
-    ksims = np.expand_dims(cos_sim_table[sortinds][:k], axis=0)
+    ksims = cos_sim_table[sortinds][:k]
     st.write('ksims.shape', ksims.shape)
     # Apply normalization after exponential formula
     ksims = softmax(10**ksims)