Use this to return a prediction from Azure Auto ML model deployed to ACI

call_forecast_model.py

import requests
import json

# URL for the web service
scoring_uri = 'http://put-your-azure-ml-uri-here.westus2.azurecontainer.io/score'
# If the service is authenticated, set the key or token
#key = '<your key or token>'

# example payload for bike share forecast future (next day)
data = {"data":
            [
              {
                  "Date":"2020-03-21", 
                  "SUB_CHANNEL":"DTH",
                  "Fiscal_Month":2,
                  "Fiscal_Week":7,
                  "Fiscal_Year":2021,
              }
            ]
        }
          
# Convert to JSON string
input_data = json.dumps(data)

# Set the content type
headers = {'Content-Type': 'application/json'}
# If authentication is enabled, set the authorization header
#headers['Authorization'] = f'Bearer {key}'

# Make the request and display the response
resp = requests.post(scoring_uri, input_data, headers=headers)
print(resp.text)