{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ef9fba9169fa40ad857f48f97426e4d9\" 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/ef9fba9169fa40ad857f48f97426e4d9-00001.gif","duration":123.96,"title":"Data Engineering Individual Project 4: Auto Skating Philosophy","description":"In this video, I present my data engineering individual project 4, which is an auto skating philosophy. The project is a sentiment analysis app that utilizes a pre-trained transformer model from Hugging Faces. I explain the backend code and provide a high-level screenshot of how the model works. I also discuss the steps required to deploy the app into Azure app services using a Docker container. Additionally, I mention the configuration of dependencies and the creation of the front end using HTML files. Unfortunately, I couldn't demonstrate the app's working due to credit limitations."}