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Building the Frontend of Python Web Applications with Streamlit

Creating Word Clouds

Explore how to build dynamic word clouds in Streamlit by using Python's wordcloud library combined with image masking techniques. Learn to customize word cloud properties, incorporate user-selected image masks, and generate visuals from weighted frequency data for interactive frontend web applications.

We'll cover the following...

The Wordcloud library

We’ll use the wordcloud library to create word clouds. First, we’ll create a default word cloud (see below) without any image mask.

The following piece of code creates a word cloud object:

wordcloud = WordCloud(width, height, repeat, 
max_words,max_font_size,background_color)
  • width: It represents the width of the word cloud.
  • height: It represents the height of the word cloud.
  • repeat:
...