How to Integrate Dedupe Active Learning functinolity (Console_label) with restful api

Question

below code to train csv model and active learning involved init how to integrate console_label function with restful api(eg fastapi)

Create a new deduper object and pass our data model to it.

    deduper = dedupe.Dedupe(fields)

    # If we have training data saved from a previous run of dedupe,
    # look for it and load it in.
    # __Note:__ if you want to train from scratch, delete the training_file
    if os.path.exists(training_file):
        print('reading labeled examples from ', training_file)
        with open(training_file, 'rb') as f:
            deduper.prepare_training(data_d, f)
    else:
        deduper.prepare_training(data_d)

    # ## Active learning
    # Dedupe will find the next pair of records
    # it is least certain about and ask you to label them as duplicates
    # or not.
    # use 'y', 'n' and 'u' keys to flag duplicates
    # press 'f' when you are finished
    print('starting active labeling...')

    dedupe.console_label(deduper)

    # Using the examples we just labeled, train the deduper and learn
    # blocking predicates
    deduper.train()