input: Write a python function to classify text data using a lightweight AI model.
  assert classify_text("This is a positive review") == "Positive"
  assert classify_text("I hated the movie") == "Negative"
  assert classify_text("The book was just average") == "Neutral"
output: def classify_text(text):
      positive_keywords = ['good', 'great', 'fantastic', 'excellent', 'positive', 'love', 'awesome']
      negative_keywords = ['bad', 'terrible', 'horrible', 'hate', 'negative', 'awful']
      neutral_keywords = ['average', 'okay', 'fine', 'neutral']
  
      text_lower = text.lower()
  
      if any(word in text_lower for word in positive_keywords):
          return "Positive"
      elif any(word in text_lower for word in negative_keywords):
          return "Negative"
      elif any(word in text_lower for word in neutral_keywords):
          return "Neutral"
      else:
          return "Neutral"