This app is used to classify Zr-rich particles measured by spICP-TOFMS as natural or anthropogenic based on recorded multi-elemental signatures.
Steps
- Install streamlit, pycharm (or any other IED). Streamlit opens in a browser (for example: google chrome) and the browser acts as graphical user interface. IED can be used to read or edit codes.
- Using Pycharm terminal open streamlit webapp on browser by typing "streamlit run Zrapp.py" and press enter. Here Zrapp is the name of the file that contains source codes.
- Both source code file and helper file should be kept in the same folder.
- Import all the libraries needed and install the packages.
- Once you have running Zrapp, drag or upload the files that you want to classify.
- A .csv file that contains critical values, sensitivities and ToF counts can be used for classfication of Zr particles.
- Example .csv files are also given here.