Update app.py

app.py

@@ -29,7 +29,9 @@ def mapping_code(user_input):
     if len(user_input.split()) <= 1:  # Check if sentence has less than 5 words
         raise ValueError("Input sentence should be more than 1 word long.Please provide the Full description")
     emb1 = model.encode(user_input.lower())
-    similarities = util.pytorch_cos_sim(emb1, stored_embeddings)[0]
+    #similarities = util.pytorch_cos_sim(emb1, stored_embeddings)[0]
+    similarity = util.cos_sim(sentence, emb1)
+
     # Combine similarity scores with 'code' and 'description'
     result = [(code, description, float(sim)) for code, description, sim in zip(stored_data["SBS_code"], stored_data["Description"], similarities)]
     # Sort results by similarity scores