Refactor code structure for improved readability and maintainability

Update model evaluation metrics and classification reports for improved accuracy

Remove outdated environment configuration files and update README with detailed usage instructions for the Protein Location Predictor application. Add error handling for model loading in prediction utility, and include a sample protein sequence in FASTA format. Update the project structure and installation steps to reflect the latest changes.

Update model loading and prediction methods to use SVM; enhance label encoding and improve variable naming for clarity

Streamline training of rf and svm models, renameing notebooks, minor changes to my_utils.py and creation of evaluation.csv

Refactor and optimize notebook utilities and model training functions

Add Tkinter-based GUI for Protein Location Prediction

Created CLI prototype, rearregement of files

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