Update app.py

app.py

@@ -15,12 +15,12 @@ sentence_embed = pd.read_csv('Reference_file.csv')
 def mapping_code(user_input):
     emb1 = model.encode(user_input.lower())
     similarities = []
-    for sentence_embed in sentences['embeds']:
-        similarity = util.cos_sim(sentence_embed, emb1)
+    for sentence in sentence_embed['embeds']:
+        similarity = util.cos_sim(sentence, emb1)
         similarities.append(similarity)
 
     # Combine similarity scores with 'code' and 'description'
-    result = list(zip(sentences['SBS Code'], sentences['Long Description'], similarities))
+    result = list(zip(sentence_embed['SBS Code'], sentence_embed['Long Description'], similarities))
 
     # Sort results by similarity scores
     result.sort(key=lambda x: x[2], reverse=True)