Feat: add next word prediction python script using LSTM

[arusl]

What

Introduce a neural network model for predicting the next word in a sequence using LSTM, trained on the BSD corpus. This includes the implementation of the model, training, and testing scripts.

• docs: update Readme with installation and usage instructions
  • Provide detailed instructions on setting up the environment, installing dependencies, and running the model. Include information on data format and usage examples.
• build: add requirements.txt for dependency management
  • List all necessary Python packages and their versions required to run the next word prediction model.
• chore: add .gitignore to exclude unnecessary files
  • Exclude virtual environments, Python cache files, build artifacts, IDE configurations, and OS-specific files to keep the repository clean.

Why

Test out cursor and improve readability.