FastAPI for Machine Learning: Live coding an ML web application.

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Welcome! Join us for a live workshop where you can follow along with the creator of FastAPI Sebastián Ramírez to build your very own AI image generation web application! He will outline the core components of the FastAPI web framework, and his application will leverage the newly-released Stable Diffusion text-to-image deep learning model.
We will be taking questions during the event. Please submit your question or upvote others' here:
app.sli.do/event/cgvyaL8y7m12...
Speakers
Sebastián Ramírez, Creator of FastAPI, Senior Staff Software Engineer at Forethought
/ tiangolo
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
/ gregloughnane
Let us know how we're doing? We will be giving out discount codes for a selected number of people who fill out the survey:
forms.gle/LzhBLhXJe4VTdNwe7
Looking to connect with your peer learners, share projects, and swap advice? Join our AI community:
community.deeplearning.ai/inv...
To learn more about us and signup for future events:
DeepLearning.AI: www.deeplearning.ai/

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Опубликовано:

14 дек 2022

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Комментарии : 30

@Deeplearningai Год назад

Check out our GitHub Repo HERE: github.com/FourthBrain/FastAPI-for-Machine-Learning-Live-Demo

@madiltalay 11 месяцев назад

Please pin it.

@Lord-V15 Год назад

Tiangolo. The legend. I remember talking to him about FastAPI standards a few years ago when FastAPI was a small and upcoming project. So great to see that the community is rapidly adopting it !

@deeplearningaicommunity4953 Год назад

0:22 Introduction 2:06 Sebastian Ramirez 2:48 What is FastAPI? 5:00 Live code an ML API with FastAPI 39:42 Audience questions 40:57 What development options for FastAPI web app is available, any difference in the way the app needs to be packaged for server less vs e.g AWS lambda vs ec2? 42:40 Best practices for scaling up/handling thousands of request in parallel? 47:00 What is the best approach to retrain the model we have trained outside our application? 51:00 FastAPI vs Flask for ML Web app? 59:00 Closing

@RZRRR1337 Год назад

Can we get the link to the code?

@shanyachaubey1909 3 месяца назад

The way Sebastian explains such technical concepts is so awesome.

@nunofarinha Год назад

Please, don't forget to share the link to the repository with the code of this workshop. Thanks for organizing these events and making them available to everyone

@mosca204 Год назад

Where is the code?

@thisaintmyrealname1 Год назад

FastAPI made me love backend development again.

@anaareias2065 3 месяца назад

being able to run code from a .py file interactively in a jupyter notebook is what I've been searching for all this time!

@FrancisRodrigues Год назад

Thanks for explaining the ML model on Docker -- during the final minutes of this video.

@BhanuChander-SYL Год назад

Thank you for this wonderful Live session. It was very useful and detailed :)

@haroldmunoz1775 6 месяцев назад

Thanks Sebastian from Colombia

@anirbanc88 Год назад

sebastian is so awesome!

@WordsThroughTheSky 5 месяцев назад

FYI, at 15:08, if you're having trouble with `image = pipe(prompt)['sample'][0]` as of 2024-01-03 it's `image = pipe(prompt)['images'][0]`

@doulaishamrashikhasan8425 Год назад

Nice Moustache

@zaheeruddinfaiz7064 Год назад

7:29 Hi @taingolo you should get your laptop battery checked. It jumped from 6% to 37%. 😁

@zxenon_ 6 месяцев назад

😂😂😂😂

@so_you_can_go Год назад

Guys, you promised the link to the repository. Please! :)

@mytube1000javed 7 месяцев назад

Is there any sanity or logic in using this fast API? If you are using stable diffusion? Why one will not use stable diffusion directly?

@RZRRR1337 Год назад

Does this work on AMD GPUs too?

@RZRRR1337 Год назад

Have you released the code yet?

@theflag2328 Год назад

ipykernel doesn't seem to be enough anymore, tells me that I need the notebook package to run interactive cells

@surajpratapsinghsayar7282 8 месяцев назад

Kudos to DeepLearnigAI, great guy Sebastián

@joaomaues Год назад

what theme in vscode is he using?

@user-sh6jm9pz9s 21 день назад

I know this maybe a silly question but at 21:47 how do I know that the "item_id" is going to be "7"?

@santhoshkumarmatlapudi2851 8 месяцев назад

Please reply if you see this, I am not able to connect clickhouse database from fastapi

@Ting-ChiangYi Год назад

I get an error message on the line pipe.to("cuda") The message is AssertionError: Torch not compiled with CUDA enabled Is it possible to run this demo without a CUDA enabled GPU? I have been googling and trying various things for several hours but couldn't get it to work. thank you

@muhammadowaissiddiqui2443 Год назад

replace cuda with "cpu"

@mohammadirfandsa6804 4 месяца назад

Hi All, I am getting below error --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[11], line 1 ----> 1 pipe = StableDiffusionPipeline.from_pretrained( 2 "CompVis/stable-diffusion-v1-4", 3 revision="fp16", 4 torch_dtype=torch.float16, 5 use_auth_token=token, 6 ) 452 if issubclass(class_obj, class_candidate): 453 load_method_name = importable_classes[class_name][1] --> 455 load_method = getattr(class_obj, load_method_name) 457 loading_kwargs = {} 458 if issubclass(class_obj, torch.nn.Module): TypeError: attribute name must be string, not 'NoneType'