Refactor code structure for improved readability and maintainability

Update model evaluation metrics and classification reports for improved accuracy

Refactor code structure for improved readability and maintainability

Update notebook file size and hash for 04_Training.ipynb

Remove hardcoded NCBI credentials in fetch_refseq_sequence function

Update GUI title and button text for clarity in Protein Location Predictor

Remove unused plot images and clean up whitespace in my_utils.py

Update notebook file size and hash for 01_EDA_Psort.ipynb

Update dependencies in my_utils.py and clean up imports

Update notebook metadata and remove unnecessary Zone.Identifier file

Refactor fetch_refseq_sequence to improve error handling and input validation

Update README.md: Clarify application description and improve example input/output formatting

Update README.md

Update README.md: Revise table of contents, enhance features section, and clarify installation instructions

Remove outdated environment configuration files and update README with detailed usage instructions for the Protein Location Predictor application.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.

Add Tkinter-based GUI for protein location prediction tool

Plotting of training results

Update environment.yml: reorganize dependencies, remove specific versioning, and add missing packages for improved compatibility

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 my_utils.py: Simplify type hints, enhance evaluate and training functions, and improve error handling in sequence fetching

Refactor and optimize notebook utilities and model training functions

Update project structure and remove unused notebooks

Add Tkinter-based GUI for Protein Location Prediction

Fix formatting in prediction output: Remove space before commas in saved predictions

Enhance file handling: Update .gitignore and improve prediction output saving with user-defined filenames in my_utils.py

Enhance prediction functionality: Add ESM model support and progress feedback in the CLI

Enhance CLI functionality: Implement file loading and prediction features with user feedback in Tkinter GUI

Update README.md

Refactor GUI: Reintroduce Tkinter menu for Protein Tools application with updated button functionality

Created CLI prototype, rearregement of files

Upload folder using huggingface_hub

Upload folder using huggingface_hub

initial commit