add img.shields

README.md

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 # Seismometer
 
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/seismometer)
+[![PyPI](https://img.shields.io/pypi/v/seismometer)](https://pypi.org/project/seismometer/)
+![GitHub License](https://img.shields.io/github/license/epic-open-source/seismometer)
+
 Healthcare organizations are seeing a proliferation of artificial intelligence (AI) features that have the potential to improve patient outcomes and clinician efficiency. These organizations need convenient, effective tools and processes to evaluate AI models’ accuracy and ensure they support equitable care for diverse patient populations.
 
 Standards developed in cooperation among healthcare systems, health IT software developers, third-party experts, and the government help can establish evaluation criteria for AI. However, to be meaningful, the standards need to be implemented correctly and consistently and used to test models on the local patient populations and embedded in the specific workflows that will be used.