new_contents: from toxic_tests import Perspective_Handler, monitor_toxicity
  from itertools import count
  
  key = 'API_KEY'
  
  c = 0
  pList = []
  
  # Python Input for Comment Testing
  while True:
    text = input()
    if isinstance(text, binary_type):
      text = text.decode('utf-8')
  
    toxicP = Perspective_Handler(key)
    monitorT = monitor_toxicity()
  
    # Returns the analyzed comment from the Perspective API
    comment = toxicP.analyze_comment(text)
    # Parse through the Json Dictionaries 
    probs = toxicP.parse_json(comment)
   
    # Calculte Total Prob
    p = monitorT.calculate_tScore(probs)
  
    # For continuous talk steams
    if p > .85:
      pList.append(p)
      c = c+1
      if c > 1:
        newP = monitorT.calculate_score(c, pList[(c-1)], p)
        print ("Please Remember to Be Kind")
  
subject: Create main.py