Enhance processing service templates to consume from pipeline queues

[vanessavmac]

Summary

Follow up to #910 which implemented the controller logic for managing batch image processing tasks for ML Jobs.

This PR focuses on the "consumer" side of the batch image processing system by demonstrating how a celery worker can be added to a processing service.

List of Changes

• Adds a celery worker to each template processing service to demonstrate how the async distributed ML backend can be utilized by external celery workers.

Related Issues

Addresses in part #515

How to Test the Changes

Apply the same testing as #910. Inside of flower, you can see that process_pipeline_request tasks are picked up by both the antenna and the ML backend celery worker.

Checklist

• I have tested these changes appropriately.
• I have added and/or modified relevant tests.
• I updated relevant documentation or comments.
• I have verified that this PR follows the project's coding standards.
• Any dependent changes have already been merged to main.

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