nightey3s/profanity-detection

Profanity Detection & Replacement System

This app provides a comprehensive solution for detecting and cleaning profanity from both text and audio content. It uses state-of-the-art machine learning models to analyze content, identify inappropriate language, and generate clean alternatives.

GitHub Repository

<img src="https://briantham.com/assets/img/projects/qr-code/Profanity-Detection-github-qr-code.svg?sanitize=true" alt="QR Code" width="300" />

Features

• —🔍 Real-time profanity detection with adjustable sensitivity
• —🔄 Automatic text rephrasing to clean alternatives
• —🎤 Speech-to-text conversion with profanity filtering
• —🗣️ Text-to-speech generation for clean content
• —💻 User-friendly Gradio interface
• —🔄 Real-time streaming support for live audio processing

Models Used

• —Profanity Detection: parsawar/profanity_model_3.1
• —Text Detoxification: s-nlp/t5-paranmt-detox
• —Speech Recognition: OpenAI Whisper (large-v2)
• —Text-to-Speech: Microsoft SpeechT5

Requirements

• —Python 3.10
• —PyTorch with CUDA support
• —Gradio
• —Transformers
• —OpenAI Whisper
• —Other dependencies listed in requirements.txt

Interface

The app provides three main interaction modes:

1. 1.Text Analysis: Enter text to detect and clean profanity
2. 2.Audio Analysis: Upload or record audio for profanity detection
3. 3.Real-time Streaming: Process live audio with instant profanity filtering

Technical Details

• —GPU acceleration supported for faster processing
• —Memory-optimized with FP16 precision where available
• —Configurable profanity detection threshold
• —Built-in error handling and logging
• —Dark mode support

Team Members

• —Brian Tham
• —Hong Ziyang
• —Nabil Zafran
• —Adrian Ian Wong
• —Lin Xiang Hong