Update app.py

app.py

@@ -67,8 +67,7 @@ regularly used to recharge the Batcave s atomic pile . 	''')
 
 st.caption('**Example 4**')
 st.caption(''':green[Claim:] :point_right: Amazon to hire 100K workers and until April Amazon will raise hourly wages by $2  due to pandemic demand.''')
-
-
+st.caption(''':green[Evidence:] :Due to the consumers increasingly relying on online retailers, Amazon planned to hire over 99,000 workers in the warehouse and delivery sector during the Pandemic in the USA.''')
 #-----------------------------------------------------------
 
 def proc():
@@ -353,7 +352,7 @@ def gen_qa_who(df):
         claim=df['claim'][i]
         answer= split_ws(df["who"])
         evidence=df["evidence"][i]
-        #time.sleep(10)
+        time.sleep(10)
         if srl!="":
             try:
                 for j in range(0,len(answer)):
@@ -368,7 +367,7 @@ def gen_qa_who(df):
                     list_of_ques_who.append(f"""Q{j+1}:{question_ids}""")
                     list_of_ans_who.append(f"""Ans{j+1}:{answer[j]}""")
                     input_evidence = f"answer_the_next_question_from_context: {question_ids} context: {evidence}"
-                    #time.sleep(10)
+                    time.sleep(10)
                     answer_evidence = query_evidence({"inputs":input_evidence,"truncation":True,"wait_for_model":True})[0]['generated_text']
                     if answer_evidence.lower() in evidence.lower():
                         list_of_evidence_answer_who.append(f"""Evidence{j+1}:{answer_evidence}""")
@@ -414,7 +413,7 @@ def gen_qa_what(df):
         claim=df['claim'][i]
         answer= split_ws(df["what"])
         evidence=df["evidence"][i]
-        #time.sleep(10)
+        time.sleep(10)
         if srl!="":
             try:
                 for j in range(0,len(answer)):
@@ -428,7 +427,7 @@ def gen_qa_what(df):
                     list_of_ques_what.append(f"""Q{j+1}:{question_ids}""")
                     list_of_ans_what.append(f"""Ans{j+1}:{answer[j]}""")
                     input_evidence = f"answer_the_next_question_from_context: {question_ids} context: {evidence}"
-                    #time.sleep(10)
+                    time.sleep(10)
                     answer_evidence = query_evidence({"inputs":input_evidence,"truncation":True,"wait_for_model":True})[0]['generated_text']
                     if answer_evidence.lower() in evidence.lower():
                         list_of_evidence_answer_what.append(f"""Evidence{j+1}:{answer_evidence}""")
@@ -476,7 +475,7 @@ def gen_qa_why(df):
         claim=df['claim'][i]
         answer= split_ws(df["why"])
         evidence=df["evidence"][i]
-        #time.sleep(10)
+        time.sleep(10)
         if srl!="":
             try:
                 for j in range(0,len(answer)):
@@ -490,7 +489,7 @@ def gen_qa_why(df):
                     list_of_ques_why.append(f"""Q{j+1}:{question_ids}""")
                     list_of_ans_why.append(f"""Ans{j+1}:{answer[j]}""")
                     input_evidence = f"answer_the_next_question_from_context: {question_ids} context: {evidence}"
-                    #time.sleep(10)
+                    time.sleep(10)
                     answer_evidence = query_evidence({"inputs":input_evidence,"truncation":True,"wait_for_model":True})[0]['generated_text']
                     if answer_evidence.lower() in evidence.lower():
                         list_of_evidence_answer_why.append(f"""Evidence{j+1}:{answer_evidence}""")
@@ -537,7 +536,7 @@ def gen_qa_when(df):
         claim=df['claim'][i]
         answer= split_ws(df["when"])
         evidence=df["evidence"][i]
-        #time.sleep(10)
+        time.sleep(10)
         if srl!="":
             try:
                 for j in range(0,len(answer)):
@@ -551,7 +550,7 @@ def gen_qa_when(df):
                     list_of_ques_when.append(f"""Q{j+1}:{question_ids}""")
                     list_of_ans_when.append(f"""Ans{j+1}:{answer[j]}""")
                     input_evidence = f"answer_the_next_question_from_context: {question_ids} context: {evidence}"
-                    #time.sleep(10)
+                    time.sleep(10)
                     answer_evidence = query_evidence({"inputs":input_evidence,"truncation":True,"wait_for_model":True})[0]['generated_text']
                     if answer_evidence.lower() in evidence.lower():
                         list_of_evidence_answer_when.append(f"""Evidence{j+1}:{answer_evidence}""")
@@ -598,12 +597,12 @@ def gen_qa_where(df):
         claim=df['claim'][i]
         answer= split_ws(df["where"])
         evidence=df["evidence"][i]
-        #time.sleep(10)
+        time.sleep(10)
         if srl!="":
             try:
                 for j in range(0,len(answer)):
                     FACT_TO_GENERATE_QUESTION_FROM = f"""{answer[j]} [SEP] {claim}"""
-                    #time.sleep(10)
+                    time.sleep(10)
                     question_ids = query({"inputs":FACT_TO_GENERATE_QUESTION_FROM, 
                               "num_beams":5, 
                               "early_stopping":True,