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	// Train classifier
	console.log("Training...");
	let trainingIteration = await trainer.trainProject(project.id);

	console.log("Training started...");
	while (trainingIteration.status == "Training") {
		await setTimeoutPromise(1000, null);
		trainingIteration = await trainer.getIteration(project.id, trainingIteration.id)
	}
	console.log("Training status: " + trainingIteration.status);

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console.log("Adding images...");
let fileUploadPromises = [];

const pizzaDir = `${dataRoot}/pizza`;
const pizzaFiles = fs.readdirSync(pizzaDir);
pizzaFiles.forEach(file => {
	fileUploadPromises.push(trainer.createImagesFromData(project.id, fs.readFileSync(`${pizzaDir}/${file}`), { tagIds: [pizzaTag.id] }));
});

await Promise.all(fileUploadPromises);

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# index.js 

// Create project
const util = require('util');
const fs = require('fs');
const TrainingApiClient = require("azure-cognitiveservices-customvision-training");
const PredictionApiClient = require("azure-cognitiveservices-customvision-prediction");

const setTimeoutPromise = util.promisify(setTimeout);

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# .env

TRAINING_KEY=<your training key>
PREDICTION_KEY=<your prediction key>
TRAINING_RESOURCE_ID=<your training resource id>
PREDICTION_RESOURCE_ID=<your prediction resource id>

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django_azure_demo/
|_ django_azure_demo/
  |_ __init__.py
  |_ settings.py
  |_ urls.py
  |_ wsgi.py
|_ manage.py
|_ db.sqlite3

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# django_azure_demo/settings.py
"""
Django settings for django_azure_demo project.

Generated by 'django-admin startproject' using Django 1.11.20.

For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/

For the full list of settings and their values, see

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django==2.1.7

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<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <system.webServer>
        <handlers>
            <add name="httpPlatformHandler" path="*" verb="*"
                 modules="httpPlatformHandler" resourceType="Unspecified" />
        </handlers>
        <httpPlatform processPath="D:\home\Python364x86\python.exe" arguments="run_waitress_server.py" requestTimeout="00:04:00" startupTimeLimit="120" startupRetryCount="3" stdoutLogEnabled="true">
            <environmentVariables>
                <environmentVariable name="PYTHONPATH" value="D:\home\site\wwwroot" />

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import os
from waitress import serve
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "django_azure_demo.settings")
application = get_wsgi_application()
serve(application,host="0.0.0.0",port=os.environ["PORT"])

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[config]
command = deploy.cmd