Model Deployment using FastAPI and MLFlow Model Registry | MLFLow2.0.1

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Model Deployment using FastAPI and MLFlow Model Registry | MLFLow2.0.1 | Part 3 |

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Model Deployment using FastAPI and MLFlow Model Registry | MLFLow2.0.1 | Part 3
Topics Covered:
1. Model serving using MLFlow Model Registry - Recap
2. Deploy Model using FastAPI
3. Live prediction using end points exposed through FastAPI
4. Alternatively run curl post request
If you find this video helpful, don't forget to like share and subscribe.
Part 1: Experiment Tracking using MLFlow
• Experiment Tracking Us...
Part 2: Model Serving using MLFlow Model Registry
• Model Serving using ML...
Notebook link: github.com/Tri...
Connect with me:
LinkedIn: / ashutoshtripathiai
Instagram: / ashutoshtripathi_ai
Twitter: / ashutosh_ai
Website: ashutoshtripat...
If you want to message me directly, then connect with me on LinkedIn and send a DM.
#mlflow #fastapi #modeldeployment #mlops

Пікірлер: 49

@AshutoshTripathi_AI Жыл бұрын

Model Serving using MLFlow model registry: kzfaq.info/get/bejne/Z6uJibR4yb66f6M.html

@shwetabhat9981 Жыл бұрын

Your channel is a gem sir . Thank you for putting in so much of efforts . Helps a lot really !! 🙂

@AshutoshTripathi_AI Жыл бұрын

Thank you very much. Glad to know it helped.

@sivanagarajuboyina4617 Жыл бұрын

we actually need some good people like u.... Thank you for explicitly explaining, each and everything with enormous patience.

@AshutoshTripathi_AI Жыл бұрын

Thank you for the kind words. Always glad to know when videos do the job.

@krishj8011 Ай бұрын

Awesome Tutorial...

@AshutoshTripathi_AI 22 күн бұрын

Thanks Krish

@sivasankarikrishnamoorthy6245 Жыл бұрын

Awesome explanation.Kindly make a video in CI/CD mlops in databricks.

@AshutoshTripathi_AI Жыл бұрын

Ok will try to make one on this topic. Thank you

@mdfaiz4583 2 ай бұрын

you are a gem

@AshutoshTripathi_AI Ай бұрын

Thank you 😊

@OmSingh-hp4ft Ай бұрын

The video is soo dam good u r a gem

@AshutoshTripathi_AI Ай бұрын

Thank you.

@virtuoso_hub Жыл бұрын

You have made great videos on this subject and i am subscribing to encourage you!

@AshutoshTripathi_AI Жыл бұрын

Thank you.

@SaurabhYadav-cn6wd Жыл бұрын

Very insightful, keep making such videos 😊

@AshutoshTripathi_AI Жыл бұрын

Thank you.

@geetatripathi9335 Жыл бұрын

Very insightful

@shrutimishra9126 3 ай бұрын

Thank you so much for the tutorials. I have been following it closely, but now I am stuck with part 3. Facing some internal server error which I do not know how to fix.

@BIZSURESH Жыл бұрын

Very useful and u r great trainer... Your clear explanation makes better understanding sir. Pls how to create docker file and cotainer using mlflow registry artifcats.... 🙏🙏🙏🙏

@AshutoshTripathi_AI Жыл бұрын

Ok, will try to make one video on this topic।

@aradhya_princess Жыл бұрын

superb sir the way of explain each and evey point is awesome, i need one help from side sir , please create one project where u will be useing MLOPS(mlflow, DVC) and docker please sir request = ["humble_requset form my side 🤗🙏" for req in range(10000000000000000) ] print(request)

@mdshihabuddin4851 Жыл бұрын

Grateful for your succinct and clear elucidation. Would you kindly provide the Git or Collab link pertaining to the remaining segment?

@rajvernekar8605 Жыл бұрын

Very informative. Can you create a video on how to use mlflow within databricks? Specifically, calling the model using curl and python api in databricks. Thanks!

@AshutoshTripathi_AI Жыл бұрын

Sure. Will try create one on this topic.

@kishorchandrasahu626 7 ай бұрын

very informative videos.. Could you please share the code of fastAPI and Flask for model deployment? Thank you so much.

@mamamia388 4 ай бұрын

Btw why don't you do the inference directly in fastapi? Isn't it using mlflow endpoint adding overhead cost?

@raniv6461 Жыл бұрын

Thank you Ashutosh for creating the very useful video for beginners, I have a question, I am doing the model development under Databricks notebook and for registry I am using MLFlow, do i still need other tool for deployment to prod ?

@AshutoshTripathi_AI Жыл бұрын

It depends. Using mlflow you can expose the model serving api and then it can be consumed in other applications. FastAPi is another way to create an api for the same.

@RAKESHKUMARSINGH-tp7mk Жыл бұрын

When do you plan to add flask application to this wonderful series?

@AshutoshTripathi_AI Жыл бұрын

Very soon. Most probably the next video which is coming on Monday.

@AshutoshTripathi_AI Жыл бұрын

Just uploaded the video on MLFlow model deployment using flask. You can check it here: kzfaq.info/get/bejne/jsCDnKuhtNWzgmQ.html

@curdyco 5 ай бұрын

Hello, mlflow server in your case was local that you used in endpoint, what if i am usint a remote sever like dagshub, how will i take the Letest model automatically in my dagshub

@kishorchandrasahu626 7 ай бұрын

Could you please help me to clarify these doubts? 1. How to run the below command dynamically based on the model I want to use ? `mlflow models serve --model-uri models:/iris-classifier/Production -p 1234 --no-conda` 2. How to automate the above process of picking the desired model and then starting the mlflow server? Thanks.

@AshutoshTripathi_AI 7 ай бұрын

You can use shell scripting and send the model uri as an argument or pass via command line

@sumitjadhav1120 7 ай бұрын

fast api ask me to give token.....which token should I provide?

@deepaksingh9318 Жыл бұрын

Video is very explained and good but git is missing code file for this one.

@siddharthtyagi1254 Жыл бұрын

sir files are not present in the github, can you please check .

@niteshsharma4128 Жыл бұрын

what is invocations ?

@mastersandy9 Жыл бұрын

Cannot find any file on fastapi manual in the the github link...please reload the document in the github..thanks

@sai199226 Жыл бұрын

@ashutosh : Too good explanation. But can you upload this notebook

@sandeepsamant8783 Жыл бұрын

Can you upload all the files on your github please?

@AshutoshTripathi_AI Жыл бұрын

Hi Sandeep, you can download the files from the link below: ashutoshtripathi.com/2023/03/25/machine-learning-model-deployment-using-docker-container/

@akshaymitra9763 Жыл бұрын

sir where can i find the main and main2 python files?

@AshutoshTripathi_AI Жыл бұрын

i will upload the files in GitHub and will share the link. You will find it in the description. Just give me 2 days, I came on vacation.

@sarthak7413 Жыл бұрын

@@AshutoshTripathi_AI where to get notebooks for deployment?

@AshutoshTripathi_AI Жыл бұрын

@@sarthak7413 you can find the notebook link in the description.

@sarthak7413 Жыл бұрын

@@AshutoshTripathi_AI Can you please help me with exact file name.I am unable to locate it in github repo

@sai199226 Жыл бұрын

@@AshutoshTripathi_AI : They are not there in git hub link Ashutosh..