Schwepe Analyzer

AI-powered media content analyzer for detecting Schwepe meme tokens in images and videos. Uses advanced machine learning to identify Schwepe-related content with high accuracy.

Features

• 🔍 Accurate Detection: Advanced AI-powered analysis for Schwepe meme content
• 🖼️ Image Analysis: Comprehensive image scanning for Schwepe characteristics
• 🎬 Video Analysis: Frame-by-frame video content analysis
• 🐸 Smart Recognition: Detects frogs, amphibians, shiny shades, and meme parodies
• 🤖 AI-Generated Content: Identifies AI-generated Schwepe characters and art
• 📊 Confidence Scoring: Provides confidence ratings for all detections
• 📁 Auto-Organization: Automatically moves non-Schwepe content to deleted folders
• 📝 Analysis Reports: Generates detailed analysis reports for deleted items
• ⚡ Batch Processing: Efficient processing of multiple files in batches

Supported Content Types

Definite Schwepe Characteristics

• 🐸 Frogs/Amphibians: Any frog, toad, amphibian, frog-like characters
• 🕶️ Shiny Shades: Any sunglasses, shades, cool eyewear
• 📝 Schwepe Text: "schwepe", "247420", "degen", "schweppay" text
• 🎨 AI-Generated Characters: Any AI-generated or 3D-rendered Schwepe characters
• 🎭 Character Art: Character art resembling Schwepe (pink, humanoid, etc.)

Strong Schwepe Indicators

• 🚀 Meme Parodies: Any recognizable character in meme format, parodies
• 💎 Crypto/Trading: Crypto, trading, stocks, finance themes
• ⚡ Meme Culture: Internet memes, viral content, meme formats

Installation

npm install -g schwepe-analyzer

Or for local development:

npm install

Usage

CLI Commands

# Analyze images
npm run analyze:images

# Analyze videos
npm run analyze:videos

# Analyze both images and videos simultaneously
npm run analyze:all

Direct Usage

# Run image analyzer
node balanced-image-schwepe-analyzer.js

# Run video analyzer
node balanced-video-schwepe-analyzer.js

Setup

1. Install dependencies:

   npm install

2. Set up environment variables:

   # Create .env file
   cp .env.example .env
   
   # Add your API token
   ANTHROPIC_AUTH_TOKEN=your_token_here

3. Prepare directories:

   • Place images in saved_images/ directory
   • Place videos in saved_videos/ directory

4. Run analysis:

   npm run analyze:all

Output

Results

• ✅ Schwepe Content: Kept in original directories
• 🗑️ Non-Schwepe Content: Moved to deleted_images/ or deleted_media/
• 📝 Analysis Reports: Detailed reports saved for deleted items

Directory Structure

saved_images/           # Original images (Schwepe content kept here)
saved_videos/           # Original videos (Schwepe content kept here)
deleted_images/         # Non-Schwepe images moved here
deleted_media/          # Non-Schwepe videos moved here

API Integration

The analyzer uses GLM-4.5V API for content analysis. You'll need:

1. API token from your provider
2. Set ANTHROPIC_AUTH_TOKEN environment variable
3. Configure API endpoint in analyzer files if needed

Configuration

Environment Variables

• ANTHROPIC_AUTH_TOKEN: Your API token for content analysis
• IMAGE_SAVE_PATH: Path to save images (default: ./saved_images)

Customization

You can modify the detection prompts in analyzer files to adjust sensitivity:

• balanced-image-schwepe-analyzer.js
• balanced-video-schwepe-analyzer.js

Examples

Detected Schwepe Content

• Pepe the Frog images
• Yoda meme parodies
• Trader memes with crypto themes
• AI-generated pink humanoid characters
• Content with "schwepe" or related text

Non-Schwepe Content

• Regular photos without meme elements
• Generic 3D renders without meme context
• Standard character art without parody elements

Batch Processing

The analyzers process files in batches to avoid API limits:

• Images: 5 files per batch with 2-second delays
• Videos: 2 files per batch with 3-second delays

Requirements

• Node.js >= 18.0.0
• API token for GLM-4.5V or compatible service
• Sufficient disk space for media files

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions:

• Create an issue on GitHub
• Check analysis reports in deleted folders for detection details

Disclaimer: This tool is designed for meme content analysis and should be used responsibly.