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Exercise

Loading AI model at server startup

You have to deploy a trained sentiment analysis model that helps in moderating comments from users. To ensure zero downtime, the API needs to be ready to analyze user comments as soon as it starts up.

In this exercise, you'll implement FastAPI's lifespan events to load your model efficiently to build the comment moderation systems. The SentimentAnalyzer model class is already defined and imported for you.

Instructions

100 XP
  • Import the context manager decorator from the contextlib module to create the lifespan event.
  • Use FastAPI's context manager decorator to define the lifespan event function to ensure model loads at startup.
  • Call the function to load the model at startup in the lifespan event.
  • Yield to allow the server loading process to continue.