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Building the Frontend of Python Web Applications with Streamlit

Streamlit App for Word Clouds

Explore building a Streamlit application to generate and display word clouds based on trending keywords. Learn to load JSON data, use interactive widgets like drop-down menus for image masks and dates, and visualize word clouds using Matplotlib. This lesson guides you through creating a dynamic user interface to visualize trends with options for customization and data handling improvements.

We'll cover the following...

Load the data

Before writing any code for the Streamlit app, we need to load the data from our JSON files.

def load_data():
    with open('data/weekly.json','r') as file:
         weekly_keywords = json.load(file)
    with open('data/combined.json') as file:
         combined_keyword = json.load(file)
    dates = [date for date in weekly_keywords]
return combined_keyword,weekly_keywords,dates

Select the image mask

We’ll also return all the dates for which we ...