Unique Charlie7 Text Generation Model

The Unique Charlie7 Text Generation Model is a sophisticated algorithm designed for generating text based on patterns learned from input data. This model is particularly useful for tasks such as text completion, suggestion, and generation.

Features

• Tokenization and Detokenization: Efficient handling of text into tokens and back.
• Context-Aware Training: Learning token relationships within a specified context size.
• Debug Mode: Option to enable detailed logging for debugging purposes.
• Text Completion and Generation: Capability to complete and generate text based on learned patterns.

Installation

To use the Unique Charlie7 Text Generation Model, you need to have Node.js installed on your system. Clone this repository and install the required dependencies:

git clone https://github.com/theomgdev/Charlie7.git
cd unique-charlie7
npm install

Usage

Training the Model

To train the model, you need a text file containing the training data. Use the TextGenerator class to load and train the model:

const { TextGenerator } = require('./path/to/charlie7');

async function trainModel() {
    const generator = new TextGenerator({
        tokenizer: 'split',
        tokenLength: 2,
        context: 100,
        debug: true
    });

    await generator.loadAndTrain('path/to/training/data.txt');
}

trainModel();

Generating Text

Once the model is trained, you can generate text using the generate method:

const generatedText = generator.generate(100, false, 5);
console.log(generatedText);

Text Completion

You can also complete a given text using the complete method:

const completedText = generator.complete('turkish ', 100, 5, false);
console.log(completedText);

Example

Here is a complete example demonstrating the usage of the Unique Charlie7 Text Generation Model:

const { TextGenerator } = require('./path/to/charlie7');

async function test() {
    const generator = new TextGenerator({
        tokenizer: 'split',
        tokenLength: 2,
        context: 100,
        debug: true
    });

    await generator.loadAndTrain('path/to/training/data.txt');

    console.log(generator.next('turkish'));
    generator.complete('turkish ', 100);
    generator.generate();
}

test();

Contributing

Contributions are welcome! Please read the contributing guidelines to get started.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or feedback, please open an issue on the GitHub repository.