nl2cmd-ai 3.0.3

Natural Language to Command Line Interface - Hybrid ML + Rule Engine with Git Support

NL2CMD - Natural Language to Command Line Interface

Transform natural language into command-line instructions instantly

NL2CMD is an intelligent command-line interface that converts natural language queries into actual shell commands using a hybrid ML + Rule-based approach and works on multiple platform windows and linux

Installation

pip install nl2cmd-ai

Usage

# Single command mode
n2c "list all files"
n2c "create file config.json"
n2c "check git status"
n2c "kill process chrome"

# Interactive mode
n2c -i
n2c> show system info
n2c> create folder project and create file readme.txt
n2c> good  # Mark command as correct
n2c> exit

# Training
n2c --train     # Train ML model
n2c --retrain   # Retrain with feedback

Examples

Basic Commands

n2c "list all files"              → dir / ls
n2c "show system information"     → systeminfo / uname -a
n2c "check disk health"           → wmic diskdrive get status
n2c "find large files"            → forfiles /S /M * /C "cmd /c if @fsize GEQ 104857600 echo @path"

Parameterized Commands

n2c "create file config.json"     → echo. > config.json
n2c "create folder Documents"     → mkdir Documents
n2c "kill process firefox"        → taskkill /IM firefox.exe /F
n2c "copy file src.txt to dst.txt" → copy src.txt dst.txt

Git Commands

n2c "check git status"            → git status
n2c "push to github"              → git push
n2c "create new branch feature"   → git branch feature
n2c "commit changes with message" → git commit -m "Update"

Multi-Command Chaining

n2c "create folder project and create file readme.txt"
→ mkdir project && echo. > readme.txt

n2c "list files then show system info"
→ dir && systeminfo

Local Setup

git clone https://github.com/Cosy-y/NL2CMD.git
cd NL2CMD
pip install -r requirements.txt
python train_model.py
n2c "test command"

Building Package

pip install build twine
python -m build
twine upload dist/*

Sem 5 project

📄 License

MIT License - see LICENSE file for details.