Update app.py

app.py

@@ -2,11 +2,14 @@ import gradio as gr
 import tensorflow as tf
 import numpy as np
 import pickle
-import requests as rs
 import pandas as pd
 import json
-import requests
 import datetime
+from datetime import datetime
+from transformers import pipeline
+import requests
+from bs4 import BeautifulSoup
+import re
 
 
 # Load model, including its weights and the optimizer
@@ -29,7 +32,7 @@ def greet(string):
   spreadsheet_id = '1vjWnYsnGc0J6snT67NVbA-NWSGZ5b0eDBVHmg9lbf9s'  # Please set the Spreadsheet ID.
   csv_url='https://docs.google.com/spreadsheets/d/' + spreadsheet_id + '/export?format=csv&id=' + spreadsheet_id + '&gid=0'
   
-  res=rs.get(url=csv_url)
+  res=requests.get(url=csv_url)
   open('google.csv', 'wb').write(res.content)
   df = pd.read_csv('google.csv')
   
@@ -62,13 +65,7 @@ def greet(string):
 #One testing case
 
 ###################################################
-import gradio as gr
-from transformers import pipeline
-from datetime import datetime
-import pandas as pd
-import requests
-from bs4 import BeautifulSoup
-import re
+
 benefits = [
   {"benefitName": "Universal Credit", "coreName": "what is this benefit", "link": "https://www.gov.uk/universal-credit/"},
   {"benefitName": "Universal Credit", "coreName": "who can apply", "link": "https://www.gov.uk/universal-credit/eligibility"},
@@ -127,6 +124,7 @@ for benefit in benefits:
   benefit['context'] = context
   benefit['contextLen'] = len(context)
   print("--------------------------------")
+  
 benefitsClasses = list(set(list(map(lambda x: x['benefitName'], benefits))))
 core4Classes = list(set(list(map(lambda x: x['coreName'], benefits))))
 # contexts
@@ -141,14 +139,8 @@ def testQA(question):
   time = datetime.now()
   context = list(filter(lambda x: x['benefitName']==predictedBenefit and x['coreName']==predictedCore, benefits))[0]
   answer = question_answerer(question = question, context = context['context'])['answer']
-  
-  
   time3 = (datetime.now() - time).total_seconds()
   
-  
-  
-  
-  
   output = coreName + ': ' + answer
   return output