is-it-slop 0.4.0

Detecting AI generated text using statistical ML models and TF-IDF vectorization

is-it-slop

Python bindings for the is-it-slop AI text detection library.

Features

• Fast inference: Rust-backed ONNX runtime
• Pre-trained model: Embedded at compile time
• Simple API: Single function call for predictions
• Batch processing: Efficient multi-text inference

Installation

uv add is-it-slop
# or
pip install is-it-slop

Quick Start

from is_it_slop import is_this_slop

# Predict on single text
result = is_this_slop("Your text here")
print(result.classification)  # "Human" or "AI"
print(f"AI probability: {result.ai_probability:.2%}")

# Use custom threshold
result = is_this_slop("Your text here", threshold=0.7)
print(result.classification)

# Batch processing
from is_it_slop import is_this_slop_batch

texts = ["First text", "Second text", "Third text"]
results = is_this_slop_batch(texts)
for text, result in zip(texts, results):
    print(f"{text}: {result.classification}")

API Overview

Functions

is_this_slop(text, threshold=None)

Predict whether a single text is AI-generated or human-written.

• text: Input text string
• threshold: Optional classification threshold (0.0-1.0)
• Returns: Prediction object

is_this_slop_batch(texts, threshold=None)

Predict whether multiple texts are AI-generated or human-written.

• texts: List of text strings
• threshold: Optional classification threshold (0.0-1.0)
• Returns: List of Prediction objects

Prediction Object

Result object with classification and probabilities:

• classification: String, either "Human" or "AI"
• human_probability: Float (0.0-1.0), probability of human-written
• ai_probability: Float (0.0-1.0), probability of AI-generated

Constants

CLASSIFICATION_THRESHOLD

Default threshold value used for classification. This threshold is set to optimize for overall F1 score based on validation data.

CLI Tool

For command-line usage, install the Rust binary:

cargo install is-it-slop --features cli
is-it-slop "Your text here"

License

MIT