input: Write a function to classify sentiment of a sentence.
  assert classify_sentiment("The movie was good and wonderful") == "positive"
  assert classify_sentiment("The weather is horrible and terrible today") == "negative"
  assert classify_sentiment("The day was neither good nor bad") == "neutral"
output: def classify_sentiment(sentence):
      positive_words = {"good", "wonderful", "amazing", "excellent", "fantastic"}
      negative_words = {"horrible", "terrible", "bad", "awful", "poor"}
      
      positive_count = sum(word in positive_words for word in sentence.split())
      negative_count = sum(word in negative_words for word in sentence.split())
      
      if positive_count > negative_count:
          return "positive"
      elif negative_count > positive_count:
          return "negative"
      else:
          return "neutral"