chore: apply security quarantine patch

[Cedric-Magnan]

Automated patch application from security quarantine

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request applies an automated security quarantine patch, primarily focusing on improving the application's robustness, user experience, and code cleanliness. Key changes include better handling of data types, visual feedback during processing, and minor UI adjustments to enhance overall stability and presentation.

Highlights

• User Experience: Improved user experience by adding a loading spinner for stopwords filtering, providing visual feedback during processing.
• Data Robustness: Enhanced data robustness by explicitly converting selected column data to string type before processing, preventing potential type-related errors.
• Code Organization: Refactored UI element placement in the main page logic for better code organization and readability.
• Code Cleanliness: Cleaned up debug output and made minor plotting aesthetic adjustments by hiding the Bokeh toolbar logo.

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Changelog

• lib/pages/page.py
  • Added a blank line for formatting.
  • Relocated various Streamlit button and checkbox definitions within the write function.
  • Introduced explicit string type conversion for the selected dataset column before further processing.
• lib/utils/cache.py
  • Wrapped the stopwords filtering logic in a Streamlit spinner for visual feedback.
  • Removed several debug streamlit.write(df) statements.
• lib/utils/plotting.py
  • Disabled the Bokeh plot toolbar logo.
• lib/utils/processing.py
  • Ensured the 'text' column is explicitly cast to string type before being used in word cloud generation.
• main_app.py
  • Added a trailing newline character at the end of the file.

Activity

• No human activity has been recorded on this pull request yet.

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[gemini-code-assist]

Code Review

The pull request refactors the Streamlit application's UI by reordering various buttons in lib/pages/page.py. It enhances robustness by explicitly casting selected data columns to string type (dataset[column_name].astype(str)) before processing and ensuring text data is string-typed for word cloud generation. User experience is improved by adding a streamlit.spinner during stopwords filtering. Additionally, debug streamlit.write(df) statements were removed from lib/utils/cache.py, and the Bokeh toolbar logo was hidden from plots.

[gemini-code-assist]

Wrapping the stopwords filtering in a streamlit.spinner provides valuable visual feedback to the user during processing. This significantly improves the user experience by indicating that an operation is in progress.

Suggested change

	with streamlit.spinner(':hourglass: Filtering Stopwords...'):
	dataset_to_filter = sampled_data.copy()
	dataset_to_filter[column_name] = remove_stopwords_from_column(
	dataset_to_filter[column_name], dataset_language, custom_stopwords
	)
	with streamlit.spinner(':hourglass: Filtering Stopwords:'):
	dataset_to_filter = sampled_data.copy()
	dataset_to_filter[column_name] = remove_stopwords_from_column(
	dataset_to_filter[column_name], dataset_language, custom_stopwords
	)

[gemini-code-assist]

Removing this streamlit.write(df) debug statement is good practice for production code, preventing unnecessary output and potential performance overhead.

[gemini-code-assist]

Removing this streamlit.write(df) debug statement is good practice for production code, preventing unnecessary output and potential performance overhead.

[gemini-code-assist]

Removing this streamlit.write(df) debug statement is good practice for production code, preventing unnecessary output and potential performance overhead.