Build an AI app with FastAPI and Docker - Coding Tutorial with Tips

Join me in a coding session with Sebastián Ramírez and learn how to build a Machine Learning app with FastAPI and Docker. Along the way we will show you some tips like the interactive coding session and Docker init command, and best practices when working with FastAPI.
During the premiere, there will also be a giveaway to win Docker swag!🐳🥳
Sebastián is the creator of FastAPI, Typer, and other cool Open Source tools, and he is also a Docker captain. You can connect with him here:
- Twitter: / tiangolo
- Website: tiangolo.com/
Learn more about AI/ML and Docker: www.docker.com/products/ai-ml...
Resources:
- FastAPI: fastapi.tiangolo.com/
- ML model: huggingface.co/dandelin/vilt-...
- Docker init: github.com/patrickloeber/dock...
- Code: github.com/patrickloeber/dock...
Get my Free NumPy Handbook:
www.python-engineer.com/numpy...
⭐ Join Our Discord : / discord
📓 ML Notebooks available on Patreon:
/ patrickloeber
If you enjoyed this video, please subscribe to the channel:
▶️ : / @patloeber
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
🖥️ Website: www.python-engineer.com
🐦 Twitter - / patloeber
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📸 Instagram - / patloeber
🦾 Discord: / discord
▶️ Subscribe: / @patloeber
~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~
🅿 Patreon - / patrickloeber
#Python #docker
Timeline:
00:00 - Introduction
00:55 - Model Setup
09:35 - FastAPI Setup
26:15 - Docker Setup

[@patloeber]

INSTRUCTIONS TO WIN DOCKER SWAG: Take a picture of yourself watching the video (or just a screenshot), post it on Twitter mentioning @Docker & @patloeber & @tiangolo to win SWAG! The first 30 people will be selected. There are still some left :)

[@arshadvayani]

twitter.com/extensiveweb/status/1697311129846882759?t=fjMJ4WxIymAa5L1qnUJMOA&s=19

[@MyCodingDiarie]

Your videos are my go-to resource whenever I get stuck on a coding problem. Thank you!

[@MyCodingDiarie]

Your videos are a constant source of inspiration for me. Please keep them coming!

[@sammathew535]

Thanks a ton for the interactive mode trick!

[@aar021]

Pat! This is awesome. Also having Sebastian was a nice touch. Much love to you guys.

[@patloeber]

Thank you!!

[@BuddaFett]

You are a huge help to us!

[@shamaldesilva9533]

Awesome 🎉🎉 please more in depth courses with Fastapi ❤

[@MrSuperGerald]

and with Sebastian! This format is the best.

[@GabrielPozo]

Great talk with Sebastian! 👏

[@shaunpx1]

Awesome video! thank you guys for the great intuition and tips.

[@theusualcouple]

Really cool feature of Run in interactive window. Thanks a lot for its introduction. This feature is also available by right clicking on a line/selection. VS code is the best.

[@bengabp]

My notifications are enabled 😊

[@macadeliccc2942]

great tutorial and lots of good information. Im familiar with torch and transformers but it was nice to combine them with a new technology to me, like fastAPI

[@patloeber]

Thank you!

[@shivrajnag12]

Awesome session. Hi Sebastian, when can we expect FastAPI docs update with SQLModel?

[@francescociulla]

You just remembered me ti make the FastAPI video! Great one btw!

[@mmzf2357]

Best content 👍🏻

[@manyes7577]

wow docker init make life so much easier

[@ghufrankasho9470]

this was very helpfull and educational thank you for this video and this collaboration was greate 😇

[@patloeber]

Glad you enjoyed it!

[@sunils7072]

Thank you very much for this video.

[@patloeber]

Glad you liked it!

[@jaggyjut]

Thanks Patrick for another great Tutorial. Would you be able to make a tutorial on using streamlit to create an end user web app to fix any wrong prediction to retrain the model. For example let say we have a machine learning model capable of predicting the house rent for homes. the user should be able to upload a csv of list of home with key attributes and the output should be a grid view with all the rent predictions. If there is an incorrect prediction user should be able to type in the correct rent which will be used to retrain the model. If you make a course on Udemy will be first to purchase it 😀

[@TheAremoh]

Amazing

[@JustFuguFish]

Nice fast course! I am just amazed that the Docker image has 10GB :D

[@user-ql7de7ud6q]

great clip, thx!

[@wadejohnson4542]

Amazing! Patrick and Sebastian, how do we thank you for this?

[@patloeber]

Hi hi, glad if you enjoyed the session!

[@chrisogonas]

Thanks folks!

[@Indently]

AI let's goooooo

[@edwardwong654]

Very interesting. What is the Rust for?

[@doubleBottomChart]

Thanks.

[@Robay146]

Thanks for this. However, would have been worth mentioning the amount of time needed to build the model. It took me 4hrs to build the image!

[@patloeber]

Oh, didn't know it took that long :( It only took around 1 minute on my machine (2020 MacBook M1)

[@City__Walker]

Are there any development templates created for fastapi? What a standard FastAPI application should look like?

[@pankajchaturvedi1541]

Does the Jupyter interactive window work, if I am using virtual env for the project?

[@amrgaber4662]

thanks

[@erhanandrei4862]

❤

[@shaz-z506]

Good video, but I didn't get the part where you use Rust compiler, I mean why it was required?

[@patloeber]

The transformers library needed it for the installation. At least on my system I was getting error messages without Rust

[@flarexlucifer]

so like for me everything went good but now i want to deploy my fastapi to aws lambda how do i it ? can you tell me it's for my university project.

[@luca_dev]

vscode tells me to install ipykernel to run python code interactively, did you install it in the project venv?

[@patloeber]

yup, it'll always ask you this the first time

[@huzaifa.arshad]

I tried to do 'docker init' and it gave me (docker: 'init' is not a docker command. See 'docker --help') error. What did i missed?

[@chikosan99]

Thanks a lot! great Just it's not fullHD \:

[@MJReviews122]

cooles video

[@prithvirajdeshmukh5774]

New subscriber from Bharat / India . Are you from?

[@rahulkulkarni5967]

what's the total duration of the course.?

[@patloeber]

30 minutes

[@Gautamkumar-tk1xt]

For recording

[@user-nj5gj3dv3t]

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[@henoknigatu7121]

👍Nice...how to deploy it for free