input: Write a python function to perform sentiment analysis on a given sentence and return the total polarity score and sentiment label.
  assert sentiment_analysis("I love sunny days but I hate rainy days.") == {'total': 0.1, 'sentiment': 'Neutral'}
  assert sentiment_analysis("This is the best day ever!") == {'total': 0.3, 'sentiment': 'Positive'}
  assert sentiment_analysis("I am very disappointed and unhappy with the service.") == {'total': -0.4, 'sentiment': 'Negative'}
output: def sentiment_analysis(sentence):
      from textblob import TextBlob
      
      analysis = TextBlob(sentence)
      polarity = analysis.sentiment.polarity
      
      if polarity > 0:
          sentiment = 'Positive'
      elif polarity < 0:
          sentiment = 'Negative'
      else:
          sentiment = 'Neutral'
      
      return {'total': polarity, 'sentiment': sentiment}