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PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.