Description:
piigpt 0.13
piigpt
Provides a mechanism to anonymize PII and PHI before sending to a LLM API
Basic Setup:
from Analyzers.AnalyzerType import AnalyzerType
from PIIScrubber import PIIScrubber
def main():
from dotenv import load_dotenv
load_dotenv("sample.env")
pii = PIIScrubber(AnalyzerType.AZURE)
text = "My phone number is 555-555-5555"
print(pii.scrub([text]))
print(pii.get_entities([text]))
print(pii.anonymize(pii.get_entities([text]), text))
print(pii.deanonymize(pii.anonymize(pii.get_entities([text]), text)))
if __name__ == "__main__":
main()
Output:
['My phone number is ************']
[Text: 555-555-5555, Category: PhoneNumber, Subcategory: None, Offset: 19, Length: 12]
My phone number is :yudDNDuGJG:
My phone number is 555-555-5555
Extensible
Analyzers:
Currently AzureAIAnalyzer is supported. Contribute by adding additional analyzers following the BaseAnalyzer interface.
Configure your parameters for your analyzer in the analyzer_config.toml file
Anonymizers:
Plug in your own anonymizer or use the built in Anonymizer.
Change how the built in anonymizer anonymizes entities by changing the anonymizer_config.toml file or use the defaults.
CacheProviders:
Use the built in dictionary cache provider or insert your own CacheProvider following the BaseCache interface.
Cache ensures all PII is deleted in a timely manner
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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