fix: allow more flexibility in choosing models used for PII removal

[dennyabrain]

Summary

This PR allows configuring the model used for by recognizer within Presidio. This removed the issue with false positives in hinglish text messages.

We have added 2 new parameters to the config for PII validator - nlp_engine_type and model_name. A sample initialization of pii validator now looks like this -

pii_validator = PIIRemover(
    entity_types=[
        "EMAIL_ADDRESS",
        "PHONE_NUMBER",
        "IN_AADHAAR",
        "PERSON",
        "IN_PAN",
        "LOCATION",
        "IN_VOTER",
        "IN_PASSPORT",
        "IN_VEHICLE_REGISTRATION",
        "URL",
    ],
    nlp_engine_type="transformers",
    model_name="dslim/bert-base-NER-uncased"
)

Since it helps to pre-download the models used by the validator, we are doing so in the Dockerfile. For now I have downloaded both models - one used by nlp_engine_type="spacy" and nlp_engine_type="transformers", we can probably choose one or a few that suits us in production. The changes to Dockerfile are indicative of what sort of changes are needed to support this PR and can use further scrutiny and discussion with the larger team.

Checklist

Before submitting a pull request, please ensure that you mark these task.

• Ran fastapi run --reload app/main.py or docker compose up in the repository root and test.
• If you've fixed a bug or added code that is tested and has test cases.

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[Prajna1999]

@dennyabrain is this PR ready for review?

[dennyabrain]

@Prajna1999 You can start reviewing now.

[Prajna1999]

Merge after fixing test cases