Add action badge to README

README.md

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 # ai-detect: Fast methods to classify text as AI or human-generated
 
+[![Classifiation accuracy testing](https://github.com/Tail-Pipe/ai-detect/actions/workflows/pytest.yml/badge.svg)](https://github.com/Tail-Pipe/ai-detect/actions/workflows/pytest.yml)
+
 This is a research repo for fast AI detection methods as we experiment with different techniques.
 While there are a number of existing LLM detection systems, they all use a large model trained on either an LLM or
 its training data to calculate the probability of each word given the preceeding, then calculating a score where
@@ -16,4 +18,4 @@ are all dynamic (though influenced by the 'preset' of 0-9--with 0 being the fast
 is to 'seed' an LZMA compression stream with a corpus of AI-generated text (`ai-generated.txt`) and then measure the compression ratio of 
 just the seed data with that of the sample appended. Samples that follow more closely in word choice, structure, etc. will acheive a higher 
 compression ratio due to the prevalence of similar tokens in the dictionary, novel words, structures, etc. will appear anomalous to the seeded
-dictionary, resulting in a worse compression ratio.
+dictionary, resulting in a worse compression ratio.