Deploy ML models with FastAPI, Docker, and Heroku | Tutorial

In this Tutorial you'll learn how to deploy Machine Learning models with FastAPI, Docker, and Heroku. Code: https://github.com/AssemblyAI-Examples/ml-fastapi-docker-heroku Resources: https://fastapi.tiangolo.com/deployment/docker/ https://devcenter.heroku.com/categories/deploying-with-docker https://github.com/basil-b2s/Language-Detector Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_51 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Timeline: 00:00 Introduction 01:08 Model Development 05:00 FastAPI app 08:44 Dockerize the app 14:14 Deployment to Heroku 17:46 Final Testing #MachineLearning #FastAPI