Update app.py

app.py

@@ -156,15 +156,6 @@ def predict_test(model, tokenizer, embedding_model, df, question, index):  # sen
     mostSimContext = re.sub(r'\s+', ' ', mostSimContext)
 
     segments = sent_tokenize(mostSimContext, engine="crfcut")
-
-    #=====add
-    if (len(segments)==1):
-        segments = ' '.join(segments) 
-
-        segments = segments.split('และ')
-        segments = [segment.split('หรือ') for segment in segments]
-        segments = [sentence for segment in segments for sentence in segment]
-    #=====end
         
     segments_index = set_index(get_embeddings(embedding_model,segments))
     _distances,_indices = faiss_search(segments_index, question_vector)