{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d30fc3634b4649149f638d4eb3416837\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d30fc3634b4649149f638d4eb3416837-fe96d020325c8bdd.gif","duration":220.337,"title":"Business Problem","description":"In this video, I walk you through the process of deploying a sentiment analysis model using a pre-trained model from Hugging Face. We will build an API with FastAPI and containerize it for deployment on AWS Fargate. The goal is to achieve real-time sentiment scoring based on the latest economic news using the Alpaca service. Please pay attention to the concrete steps I outline for fetching the model and setting up the API, as your feedback on this process will be valuable."}