# AI-Generated Text Verifier

## Description
The AI-Generated Text Verifier is a Python library that uses natural language models and statistical analysis to determine whether text content is human-written or AI-generated. This tool can be used to identify fake AI-generated news articles or social media posts.

## Features
- Detects patterns in text to classify it as human-written or AI-generated.
- Supports popular transformer-based models for text embeddings.
- Provides a probability score for text authenticity.

## Installation
Install the required dependencies using pip:

```bash
pip install transformers==4.33.3 scikit-learn==1.3.0 numpy==1.26.0
```

## Usage
Import the library and use the `verify_text` function:

```python
from ai_text_verifier import verify_text

text = "This is a sample text."
score = verify_text(text)
print(f"Probability of being AI-generated: {score:.2f}")
```

You can also use the CLI:

```bash
python ai_text_verifier.py "This is a sample text."
```

## Example
```python
from ai_text_verifier import verify_text

text = "Generated by AI."
score = verify_text(text)
print(f"Probability of being AI-generated: {score:.2f}")
```

## Limitations
- The tool uses a mock classifier for demonstration purposes. For production use, train the model with real data.
- Accuracy depends on the quality of the training data.

## License
MIT License