@lerypapa/clean-text v1.0.0

Clean Text

A TypeScript-based command-line tool that helps batch process text files using OpenAI API to remove or keep content according to user-provided examples.

Features

• Written in TypeScript for type safety and better development experience
• Supports batch processing of multiple text files
• Flexible content transformation based on user examples
• Configurable OpenAI model settings
• Command-line interface for easy usage

Installation

1. Clone the repository
2. Install dependencies:

yarn install

3. Copy .env.example to .env and add your OpenAI API key:

cp .env.example .env

4. Build the project:

yarn build

Usage

Basic usage:

yarn start -- -i <input-path> -o <output-path> -e <example-file>

Options:

• -i, --input <path>: Input directory or file (required)
• -o, --output <path>: Output directory (required)
• -e, --example <path>: Example file for processing instructions
• -c, --config <path>: Custom configuration file path

Example:

yarn start -- -i ./input-files -o ./output -e ./example.txt

This command will process all text files in the input-files directory and save the cleaned content to the output directory. The example.txt file contains the processing instructions for the tool.

Configuration

You can customize the behavior by creating a config file (JSON):

{
"model": "gpt-4-turbo-preview",
"maxTokens": 2000,
"temperature": 0.3
}

This config file will override the default settings in the loadConfig function.

Development

• Run in development mode:

yarn dev

• Run tests:

yarn test

• Lint code:

npm run lint

Project Structure

clean-text/ ├── src/ │ ├── index.ts # Entry point │ ├── processor.ts # Text processing logic │ ├── config.ts # Configuration management │ └── types.ts # TypeScript interfaces ├── dist/ # Compiled JavaScript ├── .env # Environment variables └── package.json

Requirements

• Node.js 16 or higher
• OpenAI API key
• TypeScript 5.x

License

MIT