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How To Deploy ML Models With Google Cloud Run

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Learn how to deploy Machine Learning / Deep Learning models with Google Cloud Run. We build a simple app with TensorFlow and Flask, containerize it with Docker, and deploy it to Google Cloud Run.
Code and instructions: github.com/patrickloeber/ml-d...
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Resources:
cloud.google.com/sdk/docs/ins...
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sararobinson.dev/2020/08/18/m...
TensorFlow course: • TensorFlow 2 Beginner ...
PyTorch course: • PyTorch Tutorials - Co...
Timeline:
00:00 Introduction
00:52 Prepare Model
04:27 Write Flask App
12:20 Setup Google Cloud Project
12:59 Google Cloud SDK
13:47 Dockerfile
16:41 Deploy
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* This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏

Опубликовано:

2 авг 2024

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Комментарии : 82

@patloeber 3 года назад

What other deployment methods would you like to see?

@sakilahmed6788 3 года назад

Is Google cloud service free to train model?

@anelm.5127 3 года назад

AWS would be amazing

@rohanmehra3894 3 года назад

Aws, Azure, docker, etc

@patloeber 3 года назад

@@anelm.5127 thanks, yes will definitely do AWS

@patloeber 3 года назад

@@sakilahmed6788 There is a free tier which is enough to play around with it

@neo-the-one 3 года назад

Great job as always man 👏 much appreciated, alot of people show how to create a ml app but not how to deploy it

@patloeber 3 года назад

glad you like it!

@nadillasyihaq5205 2 года назад

Thank you very much sir. Your tutorial really helped me. I'm so glad I finally found a tutorial that worked for me 😁

@rishiladdha 7 месяцев назад

This was extremely helpful. Thank you so much!

@yevg3907 3 года назад

Wow man I am glad I subscribed I was there when you just started and so much proper content since then it’s amazing! Thank you so much for all this!!!!! Great stuff !!!!

@patloeber 3 года назад

Happy to hear that :) Thanks so much for your support!

@yevguyduy329 3 года назад

@@patloeber Would it be possible to do one with app engine?

@sambhawsharma8239 3 года назад

Thank you for your great videos, I have been using python for past 3 years but still didn't know many things, or using those things with knowing. I hope other would take advantage of these excellent tutorials, I will surely encourage my friends to watch and subscribe.

@patloeber 3 года назад

thanks! I also still don't know many things ;) you should never stop learning...

@husk1188 Год назад

great demo!

@maduresenerd5716 Год назад

thanks bro, you helped me a lot

@rafaellauxen3577 3 года назад

Nice tutorial, thank you!

@patloeber 3 года назад

Glad it was helpful!

@brentsimpson3791 3 месяца назад

Awesome thank you.

@Alecor_studio 3 года назад

Can`t wait for this! Also will you do kubernetes in future some time too ?

@patloeber 3 года назад

Great suggestion! I will have to look into this...

@user-or7ji5hv8y 3 года назад

another great topic!

@patloeber 3 года назад

thanks!

@elpapachelegendario8330 3 года назад

gracias por todo el conocimiento dado.

@ajinkyabankar8036 Год назад

Thanks for a great video. In addition to the video content, can you build a simple webapp using Dash and show the demonstration? Preferably, the end user can upload the image in the webapp and see the classification result. That will be cool!

@fluttydev3157 2 года назад

Best 👍👍👍 one

@petricaradan3752 2 года назад

Hello! Thanks for this great tutorial. I have one question. We need to install docker in our computer to deploy the model on gcp?

@tamirtsogbayar3912 3 года назад

Awesome

@bcg3507 3 месяца назад

Your video Literally saved my ass ...Dankeschon

@jaggyjut 3 года назад

Just finished learning ML and was looking how to deploy. Awesome

@gilbertlopez 3 года назад

where did you learn?

@patloeber 3 года назад

You're never done with learning ML ;) But congrats! Hope you'll enjoy the video

@jaggyjut 3 года назад

@@patloeber true. The basics i guess. Thanks for the tutorial. Really appreciate.

@jaggyjut 3 года назад

@@gilbertlopez udemy data science course by Jose Portilla. the good thing about this course is it covers the basic maths theory, example and then exercise.

@gilbertlopez 3 года назад

@@jaggyjut awesome thanks for the recommendation!

@huijokim3342 10 месяцев назад

Any way to use GPU for the heavy computation model?

@sakaar-lok9109 Год назад

love you! can we deploy tf2 models without docker and just using app engine

@placidnick100 Год назад

It works for the first time but throws error on 2nd deploy: Revision 'getprediction-00002-ved' is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=8080 environment variable.

@user-pc7kr6vt6o 3 года назад

Could you tell me font or thema using in your pycharm? look so good!

@patloeber 3 года назад

It's the Dracula Theme

@anogboy3297 3 года назад

Great

@patloeber 3 года назад

thanks :)

@user-go3gp7lp6o Год назад

here you only had one "method" - index, what if i have multiple? do i have to do gcloud build multiple times?

@lexx-dat 4 месяца назад

How can I do if I want an esp32-cam to send the video live to the model deployed in Google Cloud?

@quangninh8904 Год назад

how i can fix this error The user-provided container failed to start and listen on the port defined provided by the PORT=8080 environment variable. Logs for this revision might contain more information.

@shadwar123 5 месяцев назад

@patloeber Hi , I am getting CORS error after deploying a Sequential model using Keras, ML model when i am using it in my react app . Can you please help me. In Model I have different layers like embeding layer, Lstm layer etc.

@ug1880 11 месяцев назад

I want to deploy a small application for Machine Learning. It is using BigQuery. Volume of data is medium high. I want a CICD pipeline. The application is only for business users. What service should I use for deployment on google cloud ?

@-YogiDwiAndrian 3 года назад

How code request from android studio to get prediction?

3 года назад

Perfect example man, but is possible use GPU with GCP cloud run ?

@patloeber 3 года назад

yes it's possible, but not for free of course

@ml-engineer 2 года назад

@@patloeber There is no direct support for GPUs with Cloud run. You can do it with Cloud Run for Anthos, but for that, you again need a Kubernetes Cluster somewhere.

@martinalarconcarbajal417 Год назад

Is it posible to use fastapi on google cloud run?

@peterjohngerero150 Год назад

I run a FastAPI ML for an android app. I did your process but it runs into an error said "Internal Server Error", what's the problem with this?

@ShahJr 3 года назад

Exciting stuff but this requires billing to be enabled right?

@patloeber 3 года назад

Yes I think you need to enable it, but there is a free tier to play around with it

@leamon9024 3 месяца назад

Does Cloud Run support GPU now?

@antoniodejesuscamposrodrig5250 2 года назад

What Tensorflow version are you using?

@patloeber 2 года назад

2.x in this video...

@antoniodejesuscamposrodrig5250 2 года назад

@@patloeber Cool =)

@ArunKumar-sg6jf 3 года назад

we have to enable billing for this yes or no Bro

@patloeber 3 года назад

Yes I think you need to enable it, but there is a free tier to play around with it

@mr.gadgethd4203 2 года назад

Special thank for making tutorial on Deploy ML Models With Google Cloud Run. However, could you/everyone assist me on the next step that I want to implement "test.py" in HTML. I mean that I want to run resquests.post with my serviceURL from GCP in another index.html. Hope to receive help from everyone. Thank you so much in advance.

@user-or7ji5hv8y 3 года назад

Did anybody else get this error? ERROR: (gcloud.run.deploy) Cloud Run error: Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable. Logs for this revision might contain more information.

@placidnick100 Год назад

yes, first run it worked but 2nd deploy I saw the error, any clue how to fix it?

@vigneshvlk4928 3 года назад

In pycharm

@user-go3gp7lp6o Год назад

Anyone face this issue? Gcloud is not recognised as an internal or external command

@loosoonchin6469 3 года назад

import requests resp = requests.post("127.0.0.1:5000/", files={'file': open('three.png', 'rb')}) print(resp.json()) Output: Traceback (most recent call last): File "d:\Self Learning- Tutorial\Python-PE Advance PYthon\GoogleCloudML_Deployment\test\test.py", line 3, in resp = requests.post("127.0.0.1:5000/", files={'file': open('three.png', 'rb')}) FileNotFoundError: [Errno 2] No such file or directory: 'three.png' I did have three.png, why is it not running the prediction function here? I stopped main.py and run test.py. Do I have to run the main.py at the same time? btw I am using VS code.

@vigneshvlk4928 3 года назад

You will useing Linux