Animal Tagger: A document classifier that reads PDFs in a given directory and tags the document with the highest-occurring animal or plant keyword.

📋 Prerequisites

1. Python: Ensure you have a working Python environment on your machine.
2. Jupyter Notebook

🚀 Getting Started

Installation

1. Install Required Libraries:

   pip install spacy feedparser pymupdf frontend
   python -m spacy download en_core_web_sm
   

2. Clone this repository:

   git clone [your-repo-link]
   cd [your-repo-directory]
   

Usage

1. Run Jupyter Notebook
2. Open the file demo_notebook3.ipynb

🤝 Contributing

Pull requests are welcome! 🙌 For major changes, please open an issue first to discuss the desired change.