README.md

metadata

title: Profanity Detection & Replacement System
emoji: 🚫
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 5.21.0
app_file: profanity_detector.py
pinned: false

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

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. Text Analysis: Enter text to detect and clean profanity
2. Audio Analysis: Upload or record audio for profanity detection
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