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Deploy ML model with Flask to Heroku

Click the button below to quickly clone and deploy into your own Heroku acount. If you don't have one it'll prompt you to setup a free one.

Deploy

Once deployed to your Heroku instance run the following:

curl -s -XPOST 'https://<name-of-your-heroku-app>.herokuapp.com/' -d '{"Pclass":3,"Age":2,"SibSp":1,"Fare":50}' -H 'accept-content: application/json'

Alternatively a simple python script:

import requests
import json
url = 'https://<name-of-your-heroku-app>.herokuapp.com/'
data = {"Pclass":3, "Age":2, "SibSp":1, "Fare":50}
response = requests.post(url, json.dumps(data))
print(response.json())

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Created a template to deploy ML model with Flask to Heroku to make deployment easy to the front end

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