A Python module for detecting and filtering profanity using Google's Gemini API
Project description
Gemini Profanity Filter
A Python module for detecting and filtering profanity in text using Google's Gemini API. The module can identify standard and obfuscated profanity across multiple languages.
Features
- Detects standard profanity in multiple languages
- Identifies obfuscated profanity (character substitutions, leetspeak, etc.)
- Handles stretched or repeated characters
- Detects deliberately fragmented words
- Works with mixed case patterns
- Processes context-sensitive profanity
- Language-specific profanity patterns including Cyrillic, Asian scripts, etc.
Installation
pip install gemini-profanity-filter
Usage
from gemini_profanity_filter import ProfanityFilter
# Initialize with your API key
filter = ProfanityFilter(api_key="your_api_key")
# Filter text
result = filter.filter_text("Text to be filtered")
# Access results
if result:
print(f"Filtered text: {result.filtered_text}")
print(f"Detected profanity instances: {result.detected_count}")
# Print details about detected instances
for instance in result.detected_profanity:
print(f"Original form: {instance.original_form}")
print(f"Normalized form: {instance.normalized_form}")
print(f"Detection method: {instance.detection_method}")
print(f"Confidence score: {instance.confidence_score}")
# Get detected languages
print(f"Languages detected: {', '.join(result.languages_detected)}")
Requirements
- Python 3.7 or higher
- Google GenerativeAI Python library
- A valid Google Gemini API key
License
MIT
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