Datafog

First - thanks everyone for bearing with us as we've made some notable architectural changes over the past several releases.
A big part of doing this was orienting the package towards better long-term development and where DataFog is being used today and likely in the future within API services.

- Implement Pytesseract: significant speed and accuracy in OCR text extraction from Donut!
- Allows for better image and PDF extraction
- Enhanced test suite coverage
- Refactored definitions to support async (for API integration)
- Refactored classes/functions around ImageService, TextService, SparkService

- Refactored some user flow inefficiencies
- Updated user flows incl pyspark usage in README

HuggingFaces 🤗 integration!
for V3 based on feedback we want to include more support for OCR -> PII annotation
Dedicated flows to support multi-step NLP processing
Pydantic type checking, improved

What's Changed
* v2.0.0alpha1 by sidmohan0 in https://github.com/DataFog/datafog-python/pull/1
* v2.0.1 : updated function methods, README with a Getting Started Section by sidmohan0 in https://github.com/DataFog/datafog-python/pull/2
* V2.2.0 beta1 by sidmohan0 in https://github.com/DataFog/datafog-python/pull/5
* updating dev with current codebase by sidmohan0 in https://github.com/DataFog/datafog-python/pull/6
* V2.3.1 by sidmohan0 in https://github.com/DataFog/datafog-python/pull/12
* V2.3.2 by sidmohan0 in https://github.com/DataFog/datafog-python/pull/13
* updated README.MD by sidmohan0 in https://github.com/DataFog/datafog-python/pull/14


**Full Changelog**: https://github.com/DataFog/datafog-python/commits/v2.3.2