Creating APIs For Machine Learning Models with FastAPI

I'm glad you uploaded a video about FastAPI. We prefer it over Flask. There are 2 topics where we need some help. 1.) Hosting - How to deploy the app so that other can access it via web? And how to manage the cloud infrastructure? 2.) Frontend - There are now plenty of frameworks and libraries. The standard approach is probably JavaScript, HTML and CSS. But I'm wondering what you think about pure Python libraries like Taipy, FastUI and reflex. What do you think is the best approach here? We would highly appreciate your input. Thanks! Keep up the great work! 💪💪👍👍

We use FastAPI more than django and flask, can you please create video on langchain and fastapi as well?

This was excellent, the capabilities this opens up is really powerful. Good job as always.

why not use model directly instead of pickle?

I wish if you could explain more what the code does rather than write in most of the video that would be ore helpful, thanks. Great video by the way

Great video! I'm a web developer and new to ML. Do you have the source code for this project in a Github repo? I would really love to try this out locally.

You are making requested videos. Thank you 💯

Can we see a hosting video off the same

Simple and powerful, thank you

Exactly what I was looking for! Thanks man!