video1.0<iframe src="https://www.loom.com/embed/55de8ffa5d624b8fb37220dba90f9a10" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/55de8ffa5d624b8fb37220dba90f9a10-cc49f0ab5cff8438.gif308.279In this video, I walk you through the process of setting up an API for a sentiment analysis model. We’ll create the necessary files, including main.py, schemas.py, and sentiment.py, and I’ll show you how to implement the predict function to return sentiment scores. I also demonstrate how to run the service and test it using a sample input. Please make sure to follow along and set up the API as discussed.