Metadata-Version: 2.4
Name: SonicPerformance
Version: 1.0.1
Summary: A statistical, low-memory AI-model pipeline for generation or tokenizing.
Author: AobanZ
License-Expression: MIT
Project-URL: Homepage, https://github.com/AobanZ-MinecraftYoutuber/PySonic
Project-URL: Issues, https://github.com/AobanZ-MinecraftYoutuber/PySonic/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# Sonic

Sonic is a lightweight statistical AI model pipeline written in Python, aimed at improving AI performance on simple CPUs. Any of its functions can be incorporated in many projects.

## Installation

```bash
pip install sonicperformance
```

## Usage

```python
import sonic

text = sonic.OpenFile("all.txt")
words = sonic.Tokenize(text)

model = sonic.Model(32, 16)
model.InitModel()

print(model.Generate(words, "the"))
```

## Features

* Simple text tokenization
* Word frequency analysis
* Statistical text generation
* Lightweight NumPy-based implementation

## Requirements
* NumPy

## License

MIT

## Incorporation
Sonic can be used as a pipeline in text-generation projects, tokenizing, or NLP experimenting for beginners.
