Tutorial 2- Deployment of ML models in Heroku using FLASK

Hosting on Heroku – Tutorial 2- Deployment of ML models in Heroku using FLASK


Tutorial 2- Deployment of ML models in Heroku using FLASK

Hosting on Heroku

Hello All, In this video we will see how we can deploy ML models is Heroku using Flask.

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Hosting on Heroku

Tutorial 2- Deployment of ML models in Heroku using FLASK

34 thoughts on “Hosting on Heroku – Tutorial 2- Deployment of ML models in Heroku using FLASK

  1. Hello Krish sir, When I deployed my code on heruku it shows me an error
    "Application error

    An error occurred in the application and your page could not be served. If you are the application owner, check your logs for details. You can do this from the Heroku CLI with the command"
    but it works on my local machine.
    please help me with this

  2. Thank you Krish. I have created a DL project which include pictures of small sizes. But once the project started working, the size of the project in Heroku was growing and it became more than 500 MB. I even added code to cleanup the images once it is predicted. but still the app crashed. Is there any solution for this? Is there any other free cloud services available for DL projects?

  3. Hi, you have done a great job with this playlist. However can you do a ML deployment video where a categorical variable is treated with ONE HOT ENCODING. Deployment of ML algorithm with ONE HOT ENCODING is harder compared to models where all of the inputs are numerical. There are lot's of people out there who will benefit from this including me.

  4. A very detailed explanation on how to deploy a model. Thanks Krish. Your teaching is awesome. But one query: i am getting error in local deployment(app.py)-error message : execution-count:null.can you please guide me

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