How To Deploy FastAPI Machine Learning Models In Heroku

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3 жыл бұрын

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Пікірлер: 19

@s.husain6125 3 жыл бұрын

How to deploy image classifierodel using fast api sir please make tutorial on that

@rohitprakashsahoo4004 3 жыл бұрын

Yes pls make a video on Heroku CLI also.

@vinayakdumbre2828 3 жыл бұрын

Man,you are blessing

@anandhiselvi3174 3 жыл бұрын

Please do video on svm kernels

@louerleseigneur4532 3 жыл бұрын

Thanks Krish

@its_teddy5619 Жыл бұрын

Can you one where ater this is done you then deploy the whole in or rather using the link you pass it to a Kivymd application

@ShahnawazKhan-xl6ij 3 жыл бұрын

Please make a video on deployment with jupyter Notebook IDE

@ashishmehra5143 5 ай бұрын

You only write a code in Jupyter notebook. The trained model information is in .pkl file which will actually be deployed. That is what has been shown here. APIs are written to access the .pkl information, there configuration files for Heroku and all the said files are deployed on the Heroku cloud.

@pravarsharma 3 жыл бұрын

Hey krish, this is not very user friendly, can we use any templates in this, with input fields and submit button.

@krishnaik06 3 жыл бұрын

Yes we can

@zeeemzam7396 2 жыл бұрын

I'm currently working on ML project on the topic of "Animal endangered species prediction"..but I'm don't know how to collect datasets for this So, can you sir please guide me in the dataset part please..?!!! Hope you will help me!! Waiting for ur reply

@ashishmehra5143 5 ай бұрын

Try Kaggle?

@HipHop-cz6os 3 жыл бұрын

Use fast API for deep learning models krish😇

@ashishmehra5143 5 ай бұрын

It works the same way. The change is that instead of a .pkl file for sklearn models, you will have an HDF5 file for Keras models which contains the model information. Search for tutorials online based on what I wrote. Remember, writing APIs for your project is what you have to learn by practice.