ANIME RECOMMENDER SYSTEM STREAMLIT

1 Running the Streamlit web app on your local machine

As a first step to becoming familiar with our web app's functioning, we recommend setting up a running instance on your own local machine. To do this, follow the steps below by running the given commands within a Git bash (Windows), or terminal (Mac/Linux):

• Ensure that you have the prerequisite Python libraries installed on your local machine:

pip install -U streamlit numpy pandas scikit-learn

• Navigate to the base of your repo where your base_app.py is stored, and start the Streamlit app.

cd /Streamlit/
streamlit run base_app.py

If the web server was able to initialise successfully, the following message should be displayed within your bash/terminal session:

  You can now view your Streamlit app in your browser.

    Local URL: http://localhost:8501
    Network URL: http://192.168.43.41:8501

You should also be automatically directed to the base page of your web app. This should look something like:

2 Deploying your Streamlit web app

• To deploy your app for all to see, click on deploy.

• Please note: If it's your first time deploying it will redirect you to set up an account first. Please follow the instructions.