feat(server): implement /process-message POST route for text and speech generation

feat(server): implement /speech-to-text POST route for speech transcription

feat(worker): implement Watson STT and TTS using HTTP API calls

feat(worker): implement watsonx LLM integration for English-to-German translation

feat(server): implement root route to serve main HTML interface

docs(requirements): set up Module6_ProjectBabelFishWithLLM and update global requirements

docs(requirements): finalize requirements.txt for chatbot project

feat(worker): implement prompt processing with chat history tracking

feat(worker): add PDF loading and text splitting logic for document processing

feat: initialize HuggingFaceInstructEmbeddings for document vectorization

chore(setup): clone IBM chatbot starter repo and prepare project structure

docs(readme): add FFmpeg installation instructions for Module 4 (Whisper ASR support)

feat: implement Whisper-based speech-to-text Gradio app

feat(ui): add basic Gradio demo app (hello.py) in Module4_GenerativeAIPoweredMeetingAssistant

feat(asr): add Whisper-based transcription script using Hugging Face