How to Deploy AI Apps to the Cloud with Flask & Azure

In the previous video, we built a Slack bot locally and tested it using ngrok. In this tutorial, we will take it a step further and deploy the bot to the cloud using Azure, allowing it to be accessible from anywhere. This way, you can turn your AI app into a product.

👉🏻 Links

⏱️ Timestamps
00:00 Introduction
02:57 Azure Setup
16:33 Updating the workflow file
21:27 Updating the Python file
26:24 Updating the Slack Event Subscription
30:12 What is Data Freelancer?

👋🏻 About Me
Hey there, my name is @daveebbelaar and I work as a freelance data scientist and run a company called Datalumina. You've stumbled upon my YouTube channel, where I give away all my secrets when it comes to working with data. I'm not here to sell you any data course — everything you need is right here on YouTube. Making videos is my passion, and I've been doing it for 18 years.

[sinaardehali]

I never leave a comment anywhere, but this time, i have to tell you: stunning content, pure gold. Thank you. Make an online course about building and deploying AI apps with langchain and LLM from a to z, and I will buy it without any hesitation! keep going bro🚀

[tocutandrei]

i freaking love your videos, i dont comment often, but you are doing an amazing job, keep up the good work

[JorgeLeon]

This guy must be reading my mind. I was just thinking "Gosh, it'd be great if there was a video on *paste video title here*"
Love your stuff!

[TC-GPT]

It took me 3 days...but i finally got it deployed to Azure!!!! 🤟Great video!!!!

[micbab-vgmu]

Awesome video - thanks! This is exactly what I needed to learn. I'm good at creating Python apps on my computer, but I've been struggling with cloud systems.

[tirsoan]

I love your content man
You explain things in a very detailed way especially for people like me who have absolute no coding experience!
You make it easy to learn! thank you

[DJPapzin]

Wow, so much knowledge for free?. Thank you for this excellent step-by-step tutorial.

[taylorcoteus]

Thinking the same thing as the comment below me, great videos brother! Looking forward to checking out the group

[myhificloud]

Fantastic work, this is very helpful. Looking forward to your future developments. Thank you for this.

[GodfreyMubiru]

@daveebbelaar this is really great insight. Can’t wait to see what you build next.

[robertoamarillas]

finally a tutorial that addresses what 99% of users are looking for, which is how to display it online
i see this is for slack, ¿is there a way to display this as a common chatbot interphase?

best regards

[bobbyjunelive]

I love the layering a fact you’re putting on this it’s really inspiring and helpful thank you so much

[eugenmalatov]

Really nice how you explain everything in detail. Amazing content. Thanks a lot!

[pietraderdetective]

Thanks Dave for the video! it has been a great help to set up webapp in Azure.
which ones do you think are the better ones to host webapps? have you tried AWS and GCP?
would love to hear some insights about these cloud platforms.
cheers!

[janjarco]

I was just thinking about this coming up with new ideas for my app this night 😂

[farazmoradi]

Hi Dave, thanks a lot for the videos! Can you provide us some free lance websites that we can start from or maybe a video about how to start the free lancing journey in machine leaning?

[CodingByAmp]

flask is popular for production app? thank you.

[AT-knfd]

Great video! I really learned a lot as I am completely new to this. One thing that confused me was whether it will function the same way with ChromaDB. Should we use Pinecone, Redis, or some other server-based database for this tutorial?

[naira]

Hi, Amazing tutorial, hands down. I just wanted to ask, what if we used Azure Functions instead of App Service?

[johngn]

If i also want to store my chroma vector database should i just keep it on my github repo or should i also deploy it?