Safaa

This release introduces a new model for incremental learning using scikit-learn's SGD Classifier. The model is trained on the provided dataset and can be used for incremental learning tasks. Dependencies have been pinned to avoid conflicts and a pkl file has been added to the repository.
Authors:

> Kaushlendra Pratap <kaushlendra-pratap.singhsiemens.com>
> Gaurav Mishra <mishra.gauravsiemens.com>

Changes:
* `831e05f` feat(workflows): Add Required Workflows for Build, Code Quality and Compatibility
* `b6d6999` fix(safaa): Pin conflicting dependencies and pkl file
* `28df119` Update: Introduced scikit-learn based SGD Classifier model for incremental learning
* `95b4623` feat(cd): use oidc instead of token
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This release introduces the Safaa package, which includes a false positive detector and a named entity recognition model. The package can be used to preprocess data, predict false positives, declutter copyright notices, train models, and save trained models.
Authors:

> Gaurav Mishra <mishra.gauravsiemens.com>
> Hero2323 <abdelrahmanjamal5565gmail.com>


Changes:
* `e9188b8` fix(package): fix pypi warnings
* `3c56981` fix(cd): add the correct directory path
* `d36aa6e` feat(ci): lint and publish
* `97e9af6` chore(repo): make reuse compliant
* `8d9008d` Update Safaa/setup.py
* `325a503` Update Safaa/MANIFEST.in
* `87cf656` Update README.md
* `d2eb6c5` updated package to safaa instead of Safaa, updated the license
* `1a56c90` Updated the data conversion file documentation
* `5f8a609` Added the package code after renaming it to Safaa, added training scripts for false positive detection, the datasets, as well as utility conversion scripts
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