point to HappyHackingSpace/metamaska

Author: dogancanbakir

README.md

@@ -1,27 +1,3 @@
-#  μετάμάσκα - malevolent payload classifier
-meta.mask can detect different types of malicious payloads like SQL injection, XSS, path-traversal, and command injection payloads.
+# μετάμάσκα - malevolent payload classifier
 
-[![pypi](https://img.shields.io/pypi/v/metamaska.svg)](https://pypi.org/project/metamaska/)
-[![python](https://img.shields.io/pypi/pyversions/metamaska.svg)](https://pypi.org/project/metamaska/)
-[![Build Status](https://github.com/dogancanbakir/metamaska/actions/workflows/dev.yml/badge.svg)](https://github.com/dogancanbakir/metamaska/actions/workflows/dev.yml)
-[![codecov](https://codecov.io/gh/dogancanbakir/metamaska/branch/main/graphs/badge.svg)](https://codecov.io/github/dogancanbakir/metamaska)
-
-
-
-* Documentation: <https://dogancanbakir.github.io/metamaska>
-* GitHub: <https://github.com/dogancanbakir/metamaska>
-* PyPI: <https://pypi.org/project/metamaska/>
-* Free software: MIT
-
-
-## TODO
-
-* support more types
-* support interoperable model formats, more at [here](https://scikit-learn.org/stable/model_persistence.html#interoperable-formats)
-
-## Credits
-
-- [Cookiecutter](https://github.com/audreyr/cookiecutter)
-- [waynerv/cookiecutter-pypackage](https://github.com/waynerv/cookiecutter-pypackage)
-- [ML-based-WAF](https://github.com/vladan-stojnic/ML-based-WAF)
-- [WAF-A-MoLE](https://github.com/AvalZ/WAF-A-MoLE)
+> **Note:** This project is now actively maintained under [HappyHackingSpace/metamaska](https://github.com/HappyHackingSpace/metamaska). Please refer to the new repository for the latest updates, issues, and contributions.