### Changes:
- Removed conditional configuration for `USE_SIMPLE_EMBEDDING` as Universal Sentence Encoder is now the sole embedding option.
- Updated comments to reflect the exclusive use of TensorFlow.js for embedding functionality.
- Cleaned up unnecessary blank lines and whitespace for improved code readability.
### Purpose:
Simplified the `initializeBrainy` function by consolidating embedding configuration and eliminating outdated options. This refinement aligns with the project's transition to TensorFlow-based embeddings and improves code clarity.
Standardized documentation by adding a centered Brainy logo across README files, examples, and guides. Adjusted text formatting for consistency, improved alignment, and readability of feature descriptions and examples.
Implemented a WebSocket API for real-time communication and REST API routes for CRUD operations on nouns and verbs. Added a server initialization script with WebSocket server integration and improved application structure with modularized routing and services.
Introduced a cloud deployment wrapper for Brainy supporting AWS Lambda, Google Cloud Run, and Cloudflare Workers. Added configuration options, deployment scripts, and API reference. Updated `README.md` with contribution guidelines and cloud deployment documentation.
