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Opyrator can be used for many different machine learning tasks - from data collection, to model training and inference - as showcased in our examples collection.
That's a good point. What we have on the roadmap is that you can deploy it in a task queue mode (as an alternative option to the synchronous deployment). This still provides the same web API and UI, but the actual execution is happening within a background task, most likely using something like celery https://github.com/celery/celery
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