README.md

metadata

title: HealthyEatingAdvisor
emoji: 🥗
colorFrom: purple
colorTo: green
sdk: docker
pinned: false
app_port: 7860

Healthy Eating Advisor Panel

Healthy Eating Advisor by Heidi Boudro — an AI panel for easy clean eating and real food. Ask about whole foods, fruits and vegetables, simple prep, superfoods, enzymes, and healthy-eating books. Built on Neon AI's Collaborative Conversational AI (CCAI) framework (multi-advisor FastAPI + React), cloned from the LaunchPad panel pattern.

Local path: /Users/kennedyjohnson/Projects/HealthyEatingAdvisor-Panel

Live links

Resource	URL
GitHub	https://github.com/NeonKennedy-005/HealthyEatingAdvisor-Panel
Hugging Face Space	https://huggingface.co/spaces/BrainForge/HealthyEatingAdvisor

If the Space URL 404s, create BrainForge/HealthyEatingAdvisor (Docker SDK) in the HF UI, then push the hf remote (see below).

Advisors (6)

1. Kitchen Coach — clean eating expert; sustainable whole-food habits
2. Veggie Chef — vegetable specialist; prep and recipes
3. Fruit Maven — fruit specialist; variety, juices, benefits
4. Superfoods Superman — concentrated nutrition / superfoods
5. Enzyme Explorer — enzymes in food, diet, and education
6. Book Advisor — cookbooks and healthy-eating resources

Source materials used

Packaged under docs/source-materials/ from Heidi's July 29 2026 exports:

Source	Used for
System prompts.odt	Deep persona YAML prompts in personas/healthy_eating_advisors/
Jsons July 29 2026	advisor-panel-draft.json, role/tagline metadata
Persona Prompt Testing Chats July 29 2026	Example topics appended into persona prompts
RAG July 29 2026	Markdown corpus under knowledge/<persona_id>/

How RAG is loaded

1. Knowledge files live in knowledge/ (one folder per advisor).
2. Users upload relevant .md files in chat for ChromaDB retrieval via the CCAI documents pipeline (rag_manager.py).
3. Persona prompts instruct advisors to use reference material as educational, non-medical guidance.
4. Config: healthyeating_config.yaml → rag.chroma_collection: healthy_eating_documents, embedding all-MiniLM-L6-v2.
5. With DATA_DIR set (HF /data), vector store + SQLite survive rebuilds.

See also knowledge/README.md.

Guest mode

Try without an account creates a disposable guest session with EmailStr-safe addresses like guest-…@guests.healthyeating.ai (never reserved .local TLDs).

Hugging Face Spaces deployment

Single Docker image from the root Dockerfile:

1. Builds CRA with REACT_APP_API_URL="" (same-origin API).
2. Serves SPA from FastAPI on :7860.
3. Persists SQLite at ${DATA_DIR}/healthy_eating_panel.db.

Required Space secrets

Secret	Purpose
JWT_SECRET_KEY	Signs auth tokens (long random string).
OPENAI_API_KEY	Default OpenAI provider (gpt-5.4-mini).
GEMINI_API_KEY	Optional — only if you switch llm.provider to gemini.

Local deployment

Option A — Docker

# .env:
#   JWT_SECRET_KEY=some-long-random-string
#   OPENAI_API_KEY=your-openai-key
docker compose up --build

Open http://localhost:7860. Override host port with HEALTHY_EATING_HOST_PORT.

Option B — Native

Backend:

cd multi_llm_chatbot_backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
CONFIG_PATH=../healthyeating_config.yaml uvicorn app.main:app --reload --port 8000

Frontend:

cd phd-advisor-frontend
npm install
REACT_APP_API_URL=http://localhost:8000 npm start

Open http://localhost:3000.

Configuration

• UI + orchestrator + LLM/RAG: healthyeating_config.yaml
• Personas: personas/healthy_eating_advisors/
• Author draft: advisor-panel-draft.json

First-draft known gaps (second pass)

• Canvas widgets still partially carry template scaffolding; soft-renamed only
• Knowledge is upload-for-RAG, not auto-seeded into Chroma at boot
• Some RAG filenames retain typos from the source export (how_to_stteam_vegetables, what_are_digestsive_enzymes)
• Path gate offers two starter focuses; full focus set is in profile/signup
• No production brand assets / logo beyond Lucide Leaf
• Voice endpoints point at Neon defaults (may need tenant config)

License / copyright

Panel content and knowledge pack © Heidi Boudro. CCAI app shell follows the Neon multi-advisor panel pattern.