Building & Deploying a FastAPI Video Description App: From Code to Cloud with GPT, Docker and Azure

Author(s): Souradip Pal

Originally published on Towards AI.

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Ever wanted to turn a video into a text description without manually watching and writing down the details? Well, you’re in luck! Today, we’re going to build a FastAPI application that takes a video URL as input and generates a description using AI. But that’s not all — we’ll also show you how to containerize the app using Docker and deploy it to Azure Web Apps.

This tutorial is designed for beginners, so don’t worry if you’ve never worked with FastAPI, Docker, or Azure before. By the end, you’ll have a fully functioning app deployed online!

Image Generated by Dall-EHow to set up a Python virtual environmentHow to build a FastAPI app that generates descriptions from video URLsHow to containerize the app using DockerHow to push the Docker image to Docker HubHow to deploy the app to Azure Web Apps using a Docker containerHow to test the deployed app using Thunder Client in VS Code

Before we get started, here are a few things you’ll need:

Python Installed on your machine (Python 3.7+)Docker Desktop installed and running (Download Docker Desktop)A Docker Hub account (You can sign up for free at Docker Hub)Azure Account… Read the full blog for free on Medium.

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Published via Towards AI