Tutorial on how to launch a python cloud web app for your IoT, Machine Learning or Artificial Intelligence project

1. Launching a Cloud Service
for your IoT project
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2. Get started
• We will use Python and Flask for our Cloud service
• Part 1: Heroku
• https://www.heroku.com
• Install heroku cli tools
• https://devcenter.heroku.com/articles/heroku-cli
• Part 2: Pythonanywhere
• https://www.pythonanywhere.com
• Read about git
• https://git-scm.com/book/en/v2/Getting-Started-Git-Basics
• Be sure to have git installed on your system
• https://git-scm.com/download/win
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3. Sign up or Log in @ www.heroku.com
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4. Our Application
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• Python Application
• https://www.python.org/
• Flask Python Library
• http://flask.pocoo.org/
• Code is on our local machine and not on www.github.com

5. Create a new pipeline
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A pipeline is a dyno (aka
cloud worker - vm) that will
run your app

6. Create a new pipeline
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7. Create a new pipeline
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8. Add App
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The App is the actual Python Application, on Heroku you can host
applications from different programming languages (Python, R, PHP,…)
We will build our application in a way that Heroku recognizes that we
used Python to program it.

9. Create new App
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10. Create new App
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11. Create new App
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12. Create requirements.txt file
Create a new file “requirements.txt” with the following contents:
Flask
gunicorn
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13. Create Procfile file
Create a new file “Procfile” with the following contents:
web: gunicorn PXLApp:app
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14. Create PXLApp.py file
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15. Open CMD
• Open a commandprompt (cmd) and open (or create) a directory with
the following files:
• requirements.txt
• Procfile
• PXLApp.py
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16. Heroku login
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17. Heroku update
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18. Heroku help
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19. Git init
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20. Heroku git:remote –a sspxlpy
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21. Git add .
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22. Git commit –am “First Launch”
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23. Git push heroku master
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24. heroku open /hi
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25. curl –i https://sspxlpy.herokuapp.com/hi
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26. Part 2: Pythonanywhere
• https://www.pythonanywhere.com
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27. Log in or Sign up @ pythonanywhere
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28. Open Web Apps
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29. Add a new web app
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30. Create a new web app
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31. Flask Python Web Framework
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32. Python 3.7 (Flask 1.0.2)
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33. Select path for python file – Flask app
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34. Overview Web Tab
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35. Files Tab
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36. Open mysite directory
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37. Open flask_app.py
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38. https://cteq.pythonanywhere.com
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39. Example Flask App
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40. Web Tab => reload
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41. curl –i https://cteq.pythonanywhere.com/hi
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42. CURL REFERENCE
option purpose
-X specify HTTP request method e.g. POST
curl -X GET http://cteq.pythonanywhere.com
-H specify request headers e.g. "Content-type: application/json“
curl -H "Content-type: application/json" -X POST http://cteq.pythonanywhere.com -d '{"message: "Hi Python World!!!"}'
-d specify request data e.g. '{"message":“Hi Python World!!!"}’
curl -H "Content-type: application/json" -X POST http://cteq.pythonanywhere.com -d '{"message: "Hi Python World!!!"}'
--data-binary specify binary request data e.g. @file.bin
curl -H "Content-type: application/octet-stream" -X POST http://cteq.pythonanywhere.com -data-binary @file.bin
-i shows the response headers
curl -i http://cteq.pythonanywhere.com/hi
-u specify username and password e.g. "admin:secret“
curl -v -u "admin:pass" http://cteq.pythonanywhere.com/passneededcontents
-v enables verbose mode which outputs info such as request and response headers and errors
curl -v -u "admin:pass" http://cteq.pythonanywhere.com/passneededcontents
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43. • More info: vincent[at]cteq.eu
• https://www.linkedin.com/in/vincentclaes/
• You can contact me for IoT, Embedded Systems (HW, SW, FPGA,
ARM,…) and ML/AI projects (R and Python).
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