Frank Analyzer

A Python-based tool that analyzes tweets from @frankdegods using multiple Language Models (LLMs) to identify market predictions.

Features

• Multi-model analysis using:
  • Claude 3 Opus
  • GPT-4
  • Gemini Pro
  • DeepSeek
  • Perplexity
  • Grok
• Real-time consensus calculation
• Progress tracking with status table
• Automatic error handling and retries
• Asynchronous processing

Setup

1. Clone the repository:

git clone https://github.com/davidlinjiahao/frank_analyzer.git
cd frank_analyzer

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables in .env:

OPENAI_API_KEY=your_key_here
ANTHROPIC_API_KEY=your_key_here
GOOGLE_API_KEY=your_key_here
PERPLEXITY_API_KEY=your_key_here
GROK_API_KEY=your_key_here
DEEPSEEK_API_KEY=your_key_here

Usage

Run the script with:

python frank_classifier.py

The script will:

1. Process tweets using multiple LLMs
2. Calculate consensus predictions
3. Display real-time progress
4. Save results to CSV file

Output

The script generates a CSV file with:

• Original tweet context
• Individual model predictions and reasoning
• Consensus prediction based on majority voting