Feat: Add AI-powered debugger backend and chatbot UI

[nafisa404]

This PR adds the first version of the AI-powered debugger as described in issue #4538.

What’s Included:

• main.py: FastAPI backend using a local language model (tiny-gpt2)
• /query endpoint: accepts user questions and returns AI-generated answers
• chatbot.html: Simple web-based chatbot interface for testing

How It Works:

• Run main.py with uvicorn
• Open chatbot.html in browser
• Type a Music Blocks-related question
• The assistant returns a basic AI-generated answer

This sets up the foundation for future enhancements like:

• Retrieval-augmented generation (RAG)
• Better block context
• Inline assistant inside the Music Blocks UI

[github-actions]

✅ All Jest tests passed! This PR is ready to merge.

[nafisa404]

Hi @walterbender @sum2it @pikurasa

I've completed the initial implementation of the AI-powered debugger as outlined in issue #4538.

What I’ve built:

• A FastAPI backend (main.py) that serves a basic LLM (using tiny-gpt2 for now)
• A simple web-based chatbot (chatbot.html) that connects to the backend
• The /query endpoint responds to Music Blocks-related questions

How to test:

1. Run the FastAPI server using uvicorn main:app --reload
2. Open chatbot.html in a browser
3. Ask a Music Blocks question — the AI responds instantly!

This is a minimal MVP designed to be expanded with:

• Retrieval-Augmented Generation (RAG)
• Better document context indexing
• UI integration inside the Music Blocks editor

Let me know what you think, and I’d love feedback on how you'd like this assistant to evolve further

[github-actions]

✅ All Jest tests passed! This PR is ready to merge.

[github-actions]

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[github-actions]

Closed pull request due to inactivity for more than 63 days.