A Simple Keras + deep learning REST API with DASH from Plotly

This repository contains the code from Building a simple Keras + deep learning REST API, published on the Keras.io blog.

And integrates with Dash plotly https://github.com/plotly/dash-simple-image-processor

Getting started

You can now access the REST API via http://127.0.0.1:5000.

Submitting requests to the Keras server

Requests can be submitted via cURL:

$ curl -X POST -F image=@dog.jpg 'http://localhost:5000/predict'
{
  "predictions": [
    {
      "label": "beagle", 
      "probability": 0.9901360869407654
    }, 
    {
      "label": "Walker_hound", 
      "probability": 0.002396771451458335
    }, 
    {
      "label": "pot", 
      "probability": 0.0013951235450804234
    }, 
    {
      "label": "Brittany_spaniel", 
      "probability": 0.001283277408219874
    }, 
    {
      "label": "bluetick", 
      "probability": 0.0010894243605434895
    }
  ], 
  "success": true
}

Or programmatically:

$ python simple_request.py 
1. beagle: 0.9901
2. Walker_hound: 0.0024
3. pot: 0.0014
4. Brittany_spaniel: 0.0013
5. bluetick: 0.0011

This Project is Funded by Athinoula A. Martinos Center for Biomedical Imaging