input: def sentiment_analysis(tweets):
      """Classify the sentiment of a list of tweets as either 'Positive' or 'Negative'.
  
      Example:
      >>> sentiment_analysis(['I love this!', 'This is terrible.'])
      ['Positive', 'Negative']
      """
output:     sentiment_labels = []
      for tweet in tweets:
          if 'love' in tweet or 'great' in tweet or 'awesome' in tweet:
              sentiment_labels.append('Positive')
          elif 'terrible' in tweet or 'hate' in tweet or 'awful' in tweet:
              sentiment_labels.append('Negative')
          else:
              sentiment_labels.append('Positive')  # Default to 'Positive' if no keywords are found
      return sentiment_labels