Universal classification

Universal classification is an advanced type of NLP classification that can be used to classify text data into predefined categories without the need to train a model on predefined examples. The TrueState Python SDK provides a high-level API for making predictions on your universal classification models.

from truestate.inference import classify

sample_text = "You should invest all of your money on the stock market!"

result = classify(sample_text, choices=["the text contains financial advice"])

print(result)
# {'the text contains financial advice': 0.995}