input: Write a python function to classify a given text as "Positive", "Negative", or "Neutral" based on predefined lists of positive and negative words.
  assert classify_text("I love this! It's so good and nice.") == "Positive"
  assert classify_text("I hate this. It's bad and horrible.") == "Negative"
  assert classify_text("It's just okay, nothing special.") == "Neutral"
output: def classify_text(text):
      positive_words = {"love", "good", "nice", "great", "excellent", "amazing", "wonderful", "fantastic"}
      negative_words = {"hate", "bad", "horrible", "terrible", "awful", "poor", "dreadful"}
      
      text_words = set(text.lower().split())
      
      positive_count = len(text_words & positive_words)
      negative_count = len(text_words & negative_words)
      
      if positive_count > negative_count:
          return "Positive"
      elif negative_count > positive_count:
          return "Negative"
      else:
          return "Neutral"