toxic-comment-classifier 0.2.3

A Python library for classifying toxic comments using deep learning. It supports detecting multiple types of toxicity including obscene language, threats, and identity hate.

Toxic Comment Classifier

# Toxic Comment Classifier

A Python library for classifying toxic comments using deep learning.
It supports detecting multiple types of toxicity including obscene language, threats, and identity hate.

📦 Installation

pip install toxic-comment-classifier

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🚀 Usage

🔹 Import and Initialize the Model

from toxic_classifier.model import ToxicCommentClassifier

# Load the classifier
model = ToxicCommentClassifier()

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🔹 Classify a Single Comment

text = "You are so dumb and stupid!"
scores = model.classify(text)

print("Toxicity Scores:", scores)

Example Output:

{
    'toxic': 0.5004,
    'severe_toxic': 0.4987,
    'obscene': 0.4989,
    'threat': 0.5021,
    'insult': 0.4979,
    'identity_hate': 0.5006
}

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🔹 Get Overall Toxicity Score

toxicity = model.predict(text)
print(f"Overall Toxicity Score: {toxicity:.4f}")

Example Output:

Overall Toxicity Score: 0.4998

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🔹 Classify Multiple Comments

texts = [
    "I hate this!",
    "You're amazing!",
    "This is the worst thing ever!"
]

scores = model.predict_batch(texts)

for txt, score in zip(texts, scores):
    print(f"Text: {txt} --> Toxicity Score: {score:.4f}")

Example Output:

Text: I hate this! --> Toxicity Score: 0.5002
Text: You're amazing! --> Toxicity Score: 0.5000
Text: This is the worst thing ever! --> Toxicity Score: 0.5008

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