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Feature/transformers integration #188

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IMPORTANT: Please do not create a Pull Request without creating an issue first.

issue : #184

Explain the details for making this change. What existing problem does the pull request solve ?

Improved documentation and enhanced the flexibility of the application by broadening its potential scope without addressing any specific problem.

Test plan (required)
Demonstrate the code is solid. Example: The exact commands you ran and their output, screenshots / videos if the pull request changes UI.

tox
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pytests
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Description

  • Enhanced documentation to highlight Melusine's modularity and support for integrating state-of-the-art NLP models, encouraging flexibility in adapting workflows, preprocessing methods, and use cases.
  • Added dissatisfaction detection to Melusine's NLP-based detection capabilities expanding its scope.

Fixes # (issue)

Type of change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

  • The Hugging Face module includes tests for classes within the Hugging Face folders. These tests incorporate mocked models that simulate the behavior of Hugging Face models.

Test Configuration:

  • OS: macOS , ProductVersion: 14.2, BuildVersion: 23C64
  • Python version: 3.8 , 3.10 et 3.11
  • Melusine version: 3.1.0

Checklist:

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • Any dependent changes have been merged and published in downstream modules

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