Deploying Flask Application to Heroku Cloud PaaS

Deploying a machine learning model, known as model deployment, simply means to integrate a machine learning model and integrate it into an existing production environment where it can take in an input and return an output. In this video, we see how we can deploy our Flask App to Heroku cloud PaaS using Waitress web server. #Heroku #Flask #Waitress
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🕰️ Chapters
00:00 Heroku CLI & Git installation
04:45 Code changes for deployment
12:50 Gunicorn web server
13:30 Waitress web server
17:19 Requirements.txt file
20:38 Procfile contents
25:30 Heroku Login
26:40 App creation
27:34 git commands
33:10 Building App
35:20 Testing App for prediction
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🌐 https://predictorappv101.herokuapp.com/
🌐 https://devcenter.heroku.com/articles/heroku-cli
🌐 https://docs.pylonsproject.org/projects/waitress/en/stable/
🌐 https://gunicorn.org/
🌐 https://github.com/ranjiGT/herokunido
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Видео Deploying Flask Application to Heroku Cloud PaaS канала RANJI RAJ