feat: Implement audio analysis module with metadata extraction and te…

[sashasmith-syber]

…mplate recommendations

• Added AudioAnalyzer class for analyzing audio files and extracting metadata.
• Integrated template recommendation engine based on audio characteristics.
• Placeholder for mood estimation and model loading for future enhancements.

feat: Create configuration management for environment-specific settings

• Developed Config class to handle application data paths and ensure required directories exist.
• Implemented methods for retrieving development test audio paths.

feat: Introduce Kyōga framework for synesthetic interpretation of audio features

• Established core mood space and methods for mood interpretation, color resonance, and template harmony evaluation.
• Integrated logging for mood interpretation processes and results.

feat: Develop ES6 module version of Logger for structured logging

• Created Logger class with various log levels and methods for logging messages.
• Implemented error handling and callback mechanisms for critical errors.

refactor: Centralize logging system with enhanced error handling

• Consolidated logger functionality into a single Logger class with async error handling and safe API call wrappers.
• Improved log management and export capabilities.