A simple Jupyter (Lab/Notebook) wrapper of Jason Davies d3 JS wordcloud generator https://www.jasondavies.com/wordcloud/

pip install d3wordcloud

Input: text Output: HTML File export i.e.

import d3wordcloud as d3wc
d3wc.save_wordcloud(df.topics.unique()[2])

You can then load this in gradio using Markdown embedded as a link or try using gr.HTML(). A custom iframe should work too

Input: text, boolean for show_settings Output: An interactive SVG wordcloud right in your Jupyter Notebook (or Jupyter Lab).

import d3wordcloud as d3wc
d3wc.display_wordcloud(sample_data, show_settings=False)

• sample_data is a space-separated string, e.g. "energy fossil fuel EU"
• show_settings shows the original settings for interactive control in your notebook, just like in the original version

If you'd like to use all the customization the library offers, either use the manual mode or build a modified wheel yourself. For the manual mode, simply copy the manual folder with the two files to your working directory and edit the html template directly.

1. git clone https://github.com/do-me/d3wordcloud.git
2. cd d3wordcloud
3. python setup.py sdist
4. tar tzf dist/d3wordcloud-0.0.1.tar.gz
5. python setup.py bdist_wheel sdist
6. cd dist
7. pip install d3wordcloud-0.0.1-py3-none-any.whl

Uninstalling is as easy as

pip uninstall d3wordcloud-0.0.1-py3-none-any.whl

If you are using a virtual env (like conda env) and the wordcloud SVG is not showing it is probably related to a Jupyter bug. A possible workaround is working in just one notebook at a time

• add probabilities (percentage) parameter so that we can fit LDA models and the top words percentages to control the size of each word
• Port all the settings for full control in Python.