- Updated CI/CD workflow to test new classifier class name
- Updated all documentation files (DEPLOYMENT.md, INSTALLATION.md, HOW_IT_WORKS.md, FEATURES.md, MVP-COMPLETE.md)
- Updated Python module docstrings to reflect intelligence spectrum
- Updated model_manager prompts to reference AI intelligence spectrum
- Updated tests/__init__.py to reflect new project name
- Updated advanced_analyzer.py docstring
- Updated reasoning_classifier.py docstring
- Updated ranker.py docstrings and comments
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Add 4 new AI models (Cohere, Google Gemini, Together AI, Replicate) with enhanced model comparison
New models added:
- Cohere Command: Fast, reliable text analysis with free tier
- Google Gemini: Cutting-edge multimodal capabilities with free tier
- Together AI: Hosted open-source models with free tier
- Replicate: Wide variety of models with pay-per-use pricing
Model enhancements:
- Expanded OpenAI models: Added GPT-4 Turbo and GPT-4o
- Expanded Anthropic models: Added Claude 3.5 Sonnet
- Expanded Ollama models: Added Llama3, Phi3, Gemma, Qwen
- Expanded Hugging Face models: Added Llama 3, Gemma, Phi-3, Qwen
- Added speed and accuracy metrics to all models
- Enhanced model comparison table with detailed information
UI improvements:
- Updated Model Comparison tab with all 9 models
- Added speed and accuracy columns to comparison table
- Expanded available models list in dropdown
- Enhanced recommendations for each use case
- Updated API key setup instructions with all new providers
Technical changes:
- Updated model_manager.py with 4 new model implementations
- Added cohere, goog…
Add multiple AI model support, enhanced visualizations, and comprehensive documentation
Features added:
- Multiple AI model support (OpenAI, Anthropic, Ollama, Hugging Face)
- Enhanced visualizations (pie chart, bar chart, scatter plot)
- Model comparison tab with recommendations
- Comprehensive documentation (Installation, Deployment, Concept, How It Works)
- Feature ideas and roadmap document
- Updated README with new features and documentation links
Technical changes:
- Added model_manager.py for multi-model support
- Enhanced classifier with semantic analysis integration
- Updated app.py with model selection UI
- Added three new visualization charts
- Updated requirements.txt with OpenAI and Anthropic SDKs
Educational purpose: Demonstrate AGI/ASI research tracking with modern AI techniques.
