anonLLM is a Python package designed to anonymize personally identifiable information (PII) in text data before it's sent to Language Model APIs like GPT-3. The goal is to protect user privacy by ensuring that sensitive data such as names, email addresses, and phone numbers are anonymized.
Anonymize names Anonymize email addresses Anonymize phone numbers Support for multiple country-specific phone number formats Reversible anonymization (de-anonymization) Installation
To install anonLLM, run:
pip install anonLLM
Here's how to get started with anonLLM:
from anonLLM.llm import OpenaiLanguageModel
from dotenv import load_dotenv
load_dotenv()
# Anonymize a text
text = "Write a CV for me: My name is Alice Johnson, "\
"email: alice.johnson@example.com, phone: +1 234-567-8910."\
"I am a machine learning engineer."
# Anonymization is handled under the hood
llm = OpenaiLanguageModel()
response = llm.generate(text)
print(response)
In this example, the response will contain the correct name provided. At the same time, no PII will be sent to OpenAI.
We welcome contributions!
This project is licensed under the MIT License.