[UPDATED FEATURE-993] Migrate Image Training Endpoint to Django

[codingwithsurya]

Github Issue Number Here: Feature #993

What user problem are we solving?

With the ongoing migration from Flask Blueprint to Django for better scalability and maintainability, we need to ensure that the training endpoints for image datasets continue to function as expected. Users need a reliable endpoint to submit image training requests and this migration aims to improve the overall infrastructure.

What solution does this PR provide?

This PR introduces the /image route within the Django framework, replacing the old Flask Blueprint route. The new route handles image training requests, particularly focusing on classification tasks as regression is not supported. The structure of this endpoint is mirrored from the specified reference, with adjustments made to fit the Django framework. The old image train code served as inspiration for ensuring that the necessary features and behaviors are retained.

Testing Methodology

Testing yet to be done but to verify the functionality and integrity of the new /image route, but when testing begins, we can submit training requests using torch built-in datasets (MNIST, FashionMNIST) to ensure that models train as expected and the endpoint returns accurate results.

Also use postman for testing .

Any other considerations

THIS IS UPDATED PR.

[sweep-ai]

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• Apply: All new business logic should have corresponding unit tests.
• Apply: Refactor large functions to be more modular.
• Apply: Add docstrings to all functions and file headers.

[karkir0003]

great work on this so far. had a few nits + questions. please address and then re-request review

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

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