text summarizing

Indexing/question_generator.py

@@ -37,11 +37,10 @@ def postprocesstext(content):
         final = final + " " + sent
     return final
 
-
+# text summarizing
 def summarizer(text, model=summary_model, tokenizer=summary_tokenizer):
     text = text.strip().replace("\n", " ")
     text = "summarize: " + text
-    # print (text)
     max_len = 512
     encoding = tokenizer.encode_plus(text, max_length=max_len, pad_to_max_length=False, truncation=True,
                                      return_tensors="pt").to(device)
@@ -150,11 +149,3 @@ def generate_questions_and_answers(text):
 
     return question_and_answer_list
 
-
-# print(generate_questions_and_answers(xxx))
-#
-# x = generate_questions_and_answers(xxx)
-#
-# for i in x:
-#     print(i[0])
-#     print(i[1])