README.md

metadata

title: Hanbridge Clare Assistant (Product UI)
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: docker
pinned: false
license: mit

Hanbridge Clare Assistant – Product Version

This Space hosts Clare, an AI-powered personalized learning assistant for Hanbridge University.

Architecture Overview

• Frontend: React + Vite (exported from Figma design)
• Backend: FastAPI (Python)
• LLM Orchestration: OpenAI + LangChain
• Observability: LangSmith
• Deployment: Hugging Face Docker Space

Optional: Text-to-Speech & Podcast

• TTS: Uses the same OpenAI API key (no extra secrets). Convert export/summary text to speech.
• Podcast: Generates an MP3 from the session summary or full conversation.
• Hugging Face: Set OPENAI_API_KEY in the Space Settings → Secrets. No extra env vars needed.

📦 project/
 ├── app.py
 ├── api/
 │   ├── server.py
 │   ├── clare_core.py
 │   ├── rag_engine.py   ← RAG
 │   └── tts_podcast.py  ← TTS & podcast (OpenAI TTS)
 └── requirements.txt