MedRadService

On the verge of defeating the tyranny of biology

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Introductions

This is an example of the tandem of PyTorch, Django and Heroku.
This application was written as a practice.All you have to do is upload a chest x-ray, and then you will get a Grad-cam and prediction with probabilities.
If you are interested in creating any interface for other people to interact with your ML-models, then this repository can be an example and starting point for this.

About prediction model

• This is Resnet18, trained on a dataset on NIH Chest X-ray Datasetfrom The predictive model of the service has a minimal configuration due to the limitations of the Heroku free server.
  

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Notes on Heroku

You have to check two important things when you want to send emails via Gmail smtp:

1.Your apps configuration:

• host: smtp.gmail.com
• port: 587 or 465 (587 for tls, 465 for ssl)
• protocol: tls or ssl
• user: YOUR_USERNAME @ gmail.com
• password: YOUR_PASSWORD

2. The given Gmail account settings:

• If you've turned on 2-Step Verification for your account, you might need to enter an App password.
• Without 2-Step Verification:
  1. Allow less secure apps access to your account.
  2. Visit http://www.google.com/accounts/DisplayUnlockCaptcha and sign in with your Gmail username and password.