Enhance app.py to implement a Gradio interface for the RegRadar AI Regulatory Compliance Assistant, featuring a chatbot, example queries, and a tool information panel. Refactor UIHandler to streamline chat processing and improve regulatory query handling. Update web_tools.py to modularize crawling and searching functionalities, enhancing code readability and maintainability.

Enhance app.py by adding warnings filter to ignore DeprecationWarnings, improving user experience. Refactor UIHandler in agents/ui_handler.py to remove unnecessary break condition in results display logic. Update web_tools.py to clarify crawl instructions for regulatory updates, enhancing readability and context.

Enhance regulatory sources in settings.py by adding full names for each source and improving formatting for better readability. Update web_tools.py to utilize the new SOURCE_FULL_NAMES for clearer title handling in regulatory updates.

Update .gitignore to include additional ignored files and directories for various tools and environments. Enhance README with detailed setup instructions, API key configuration, and usage guidelines for running RegRadar locally. Refactor web_tools.py to simplify crawl instructions for regulatory updates.

Refactor app.py to create a dedicated demo function for UI initialization. Update UIHandler to generate a unique user ID per session and pass it to the regulatory query processing. Enhance memory management by ensuring user-specific data is utilized. Modify LLM streaming function to include a system prompt for improved response context.

Refactor RegRadarAgent to simplify parameter extraction by removing LLM function calling. Update UIHandler to pass parameters directly to the regulatory query processing function. Enhance memory saving functionality by implementing background threading for improved performance.

Refactor RegRadarAgent to enhance parameter extraction using LLM function calling. Improve regulatory query processing by implementing fallback mechanisms for industry, region, and keywords extraction. Update UIHandler to display unique regulatory results and improve user feedback. Enhance LLM utility functions for better error handling and response management.

Refactor app.py to streamline the RegRadar application, consolidating regulatory compliance features into a cohesive UI. Enhance user interaction with improved query processing, tool detection, and memory integration. Update main function to initialize and launch the application effectively.