input: Write a python function to classify text sentiments using the TextBlob library.
  assert SentimentClassifier().classify("I love this!") == 'positive'
  assert SentimentClassifier().classify("I hate this!") == 'negative'
  assert SentimentClassifier().classify("This is okay.") == 'neutral'
output: from textblob import TextBlob
  
  class SentimentClassifier:
      def classify(self, text):
          analysis = TextBlob(text)
          polarity = analysis.sentiment.polarity
          if polarity > 0:
              return 'positive'
          elif polarity < 0:
              return 'negative'
          else:
              return 'neutral'