✨ Features

• 🔍 Fast Search: Instantly search Wikipedia for any topic.
• 📖 Terminal Reader: Read full Wikipedia articles with beautiful Markdown formatting and a pager for easy navigation.
• 🤖 AI Summarization: Generate 300-word summaries of any article using Llama 3 via Replicate.
• 🎨 Rich UI: Utilizes rich for a vibrant terminal experience with tables, panels, and colored output.

🚀 Getting Started

Prerequisites

• Python 3.8+
• Replicate API Token (optional, for summaries)

Installation

📦 Recommended: Using pipx

The easiest way to install WikiSH and have it work immediately is using pipx. This handles the system PATH automatically.

pipx install wikish

🐍 Standard: Using pip

You can also install it directly from PyPI or GitHub:

# From PyPI
pip install wikish

# Or from GitHub
pip install git+https://github.com/yourusername/wikish.git

[!IMPORTANT] Windows Users: If the wikish command is not recognized after installation, you likely need to add your Python Scripts folder to your system's PATH.

1. Run pip show wikish to find where it is installed.
2. Add the Scripts folder (e.g., ...\Python314\Scripts) to your Environment Variables.
3. Restart your terminal.

🛠 Usage

Once installed, you can launch WikiSH from anywhere:

wikish

Or search for a specific topic directly:

wikish "Quantum Physics"

⌨️ Navigation

• Article Selection: Enter the index number from the search results to read an article.
• Reading: Use arrow keys or Space/PageDown to scroll. Press q to exit the pager.
• Actions:
  • s: Generate an AI summary.
  • n: Return to search results.
  • q: Quit the application.

⚙️ Configuration

Create a .env file in your project or set the environment variable:

REPLICATE_API_TOKEN=your_token_here

(Optional: Only needed for AI-powered summaries)

📂 Project Structure

wikish/
├── src/                # Source code
│   └── wikish/         # Core package
│       ├── ai.py
│       ├── cli.py
│       ├── models.py
│       ├── search.py
│       └── utils.py
├── main.py             # Entry point (for local dev)
├── pyproject.toml      # Build system and dependencies
├── .env                # Environment variables (secret)
└── requirements.txt    # legacy dependency list

📦 Dependencies

• typer: For CLI argument parsing.
• rich: For beautiful terminal formatting.
• nlpia2-wikipedia: For accessing Wikipedia content.
• replicate: For AI-powered summaries.
• python-dotenv: For managing environment variables.
• mdv: For terminal markdown viewing.

📝 License

This project is open-source and available under the MIT License.