Deploy an NLP model with Streamlit and Heroku

Deploy an NLP model with Streamlit and Heroku

After finishing a recent Fake News Classification Project, I wanted to build a simple webapp that used my model.

After finishing a recent Fake News Classification Project, I wanted to build a simple webapp that used my model. Because of their ease of implementation, I chose to build the app with Streamlit and deploy it with Heroku. While there is a lot more that can be done with both platforms, what follows are step by step instructions to get started with a simple project using my app as an example.

Install Streamlit

Please note that Streamlit requires Python 3.6 or later.

pip install streamlit

After installation is complete, test it out the installation with the built in ‘hello world’ app.

streamlit hello

If everything is working ok, this will open a window in a browser with a web page that offers several demos.

You can then return to your terminal window and stop Streamlit with control-c.

python fake-news data-science heroku streamlit

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