Improving code.

[jvachier]

Describe your changes

Provide a clear and concise description of the changes made in this pull request. Include any relevant context or background information.

• What is the purpose of this pull request?
• What problem does it solve?
• What functionality does it add or improve?

Issue ticket number and link

Type of Change

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• Bug fix (non-breaking change that fixes an issue)
• New feature (non-breaking change that adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update
• Refactoring (code improvements without changing functionality)

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• I have performed a self-review of my code.
• I have added tests that prove my fix is effective or that my feature works.
• I have added or updated relevant documentation (if applicable).
• My changes do not introduce any new warnings or errors.
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[Copilot]

Pull Request Overview

This pull request introduces several improvements including logging integration, refactoring of BLEU score evaluation, and minor code cleanups.

• Added logging configuration and informational messages during key operations.
• Moved the BLEU evaluation logic from the translation script into the transformer components module for better modularity.
• Minor reorganization of model-building and training workflow.

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
src/translation_french_english.py	Added logging, refactored BLEU evaluation to use external function.
src/modules/transformer_components.py	Added new BLEU evaluation function with logging support.

Comments suppressed due to low confidence (1)

src/translation_french_english.py:102

• The variable 'transformer' is used for model training but its instantiation is not shown in the diff. Please ensure that 'transformer' is properly defined before it is used.

with tf.device("/GPU:0"):
          transformer.fit(

[Copilot]

Pull Request Overview

This PR improves the codebase by refactoring model imports for sentiment analysis and transformer models while adding logging and enhanced evaluation for translation. Key updates include:

• Updating import paths to use new modules for sentiment analysis and model building.
• Refactoring the Transformer model construction and integrating logging and BLEU evaluation.
• Adding a new TRANSFORMER_MODEL path and enhancing custom Keras layers with get_config methods.

Reviewed Changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
tests/test_model.py	Updated import to use modules.model_sentiment_analysis for consistency.
src/translation_french_english.py	Refactored Transformer model construction and training flow with added logging and BLEU evaluation.
src/sentiment_analysis.py	Updated text vectorizer import for improved sentiment analysis support.
src/modules/utils.py	Added a new entry for TRANSFORMER_MODEL to support model loading.
src/modules/transformer_components.py	Improved serialization with get_config methods and centralized BLEU evaluation.
src/modules/sentiment_analysis_utils.py	Updated model import for sentiment analysis to reference the correct module.

Comments suppressed due to low confidence (1)

src/translation_french_english.py:113

• The variable 'transformer' is referenced for training but is never defined in the transformer_model function. Please assign the constructed model to 'transformer' before calling its fit() method.

transformer.fit(