log add 3

code/helper.py

@@ -79,13 +79,13 @@ def filter_overlap_words(l):
 
 def get_keywords(originaltext,summarytext):
     keywords = get_nouns_multipartite(originaltext)
-    print ("keywords unsummarized: ",keywords)
+    #print ("keywords unsummarized: ",keywords)
     keyword_processor = KeywordProcessor()
     for keyword in keywords:
         keyword_processor.add_keyword(keyword)
     keywords_found = keyword_processor.extract_keywords(summarytext)
     keywords_found = list(set(keywords_found))
-    print("keywords_found in summarized: ",keywords_found)
+    #print("keywords_found in summarized: ",keywords_found)
     important_keywords =[]
     for keyword in keywords:
         if keyword in keywords_found:

code/quiz_gen_new3.py

@@ -79,14 +79,14 @@ start_time = str(datetime.datetime.now())
 if raw_text != None and raw_text != '':
     summary_text = summarizer(raw_text,summary_model,summary_tokenizer)
     ans_list =  get_keywords(raw_text,summary_text)
-    print("Ans list: {}".format(ans_list))
+    #print("Ans list: {}".format(ans_list))
     questions = []
     option1=[]
     option2=[]
     option3=[]
     option4=[]
     for idx,ans in enumerate(ans_list):
-        print("IDX: {}, ANS: {}".format(idx, ans))
+        #print("IDX: {}, ANS: {}".format(idx, ans))
         ques = get_question(summary_text,ans,question_model,question_tokenizer)
         other_options = get_related_word(ans)
         final_options, ans_index = get_final_option_list(ans,other_options)
@@ -112,21 +112,12 @@ if raw_text != None and raw_text != '':
             st.markdown("-----")
         questions.append(ques)
     output_path = "results/df_quiz_log_file_v1.csv"
-    st.write(len(ans_list),len(questions),len(option1),len(option2),len(option3),len(option4))
-    st.write("Answer: {}".format(ans_list))
-    st.write(questions)
-    st.write(option1)
-    st.write(option2)
-    st.write(option3)
-    st.write(option4)
-    st.write([str(raw_text)]*len(ans_list))
-    st.write([start_time]*len(ans_list))
     res_df = pd.DataFrame({"TimeStamp":[start_time]*len(ans_list),\
         "Input":[str(raw_text)]*len(ans_list),\
-        "Question":questions,"Option1":[option1],\
-        "Option2":[option2],\
-        "Option3":[option3],\
-        "Option4":[option4],\
+        "Question":questions,"Option1":option1,\
+        "Option2":option2,\
+        "Option3":option3,\
+        "Option4":option4,\
         "Correct Answer":ans_list})
     res_df.to_csv(output_path, mode='a', index=False, sep="\t", header= not os.path.exists(output_path))
     # st.dataframe(pd.read_csv(output_path,sep="\t").tail(5))