Setup wizard improvements:
- Expanded model dropdown with 6 Perplexity models:
* sonar-pro (recommended default)
* sonar
* sonar-reasoning
* llama-3.1-sonar-small-128k-online
* llama-3.1-sonar-large-128k-online
* llama-3.1-sonar-huge-128k-online
- Added info button (?) next to model selector
- Info popup explains each model's characteristics:
* Performance
* Use cases
* Speed/quality tradeoffs
* Cost considerations
Created MODEL_CHANGE.md documentation:
- How to change model in .env file
- How to re-run setup wizard
- Detailed model descriptions
- Example configuration
Users can now easily choose the right model for their needs
and change it anytime without reconfiguring everything.
- Replace PySimpleGUI 5.0.8.3 with FreeSimpleGUI 5.1.1
- FreeSimpleGUI is a community fork without license requirements
- PySimpleGUI 5.x requires paid license after trial period
- Remove compatibility fallback code (no longer needed)
- Update documentation to reflect FreeSimpleGUI usage
Fixes: AttributeError 'module PySimpleGUI has no attribute theme'
This commit implements the full Eugen bot based on specifications in CLAUDE.md and eugen_claude.md.
Features implemented:
- Smart name recognition (@Eugen, Eugen:, etc.)
- Persistent conversation memory per user (max 25 messages, 1 hour retention)
- Perplexity Sonar API integration for AI responses
- Live monitoring dashboard with PySimpleGUI
- Setup wizard for first-time configuration
- Comprehensive logging (main log + API debug log)
Files added:
- config.py: Configuration management from .env and config.json
- utils.py: MentionDetector and Logger utility classes
- memory.py: ConversationMemory for persistent chat history
- ai_provider.py: PerplexityProvider for API integration
- gui.py: Dashboard and SetupWizard GUI components
- chatbot.py: Main EugenBot orchestrator with IRC handling
- requirements.txt: Python dependencies
- .env.example: Template for environment variables
- .gitignore: Renamed from gitignore for proper Git usage
Updated:
- README.md: Complete usage instructions and documentation
The bot is ready to use - users just need to add their API keys and run python chatbot.py
