README.md

metadata

title: UnivAI Chatbot
emoji: 🤖
colorFrom: purple
colorTo: blue
sdk: docker
sdk_version: 1.0.0
app_file: app.py
pinned: false

UnivAI Chatbot Interface & AI Backend

This project merges a React UI (Vite) and a Flask AI backend into a single Hugging Face Space using Docker.

Features

• Conversational UI for university handbook queries
• AI backend (Sentence Transformers + LLM) for semantic search and natural responses
• Feedback API for upvote/downvote tuning

Running Locally

docker build -t univai-chatbot .
docker run -p 7860:7860 univai-chatbot

• UI available at http://localhost:7860
• API available at http://localhost:7860/api/chat and /api/feedback

Endpoints

• POST /api/chat
  { "query": "your question", "dev_mode": false } → { "response": "answer" }
• POST /api/feedback
  { "query": "...", "response": "...", "feedback": "positive"|"negative" } → { "status": "success" }

Hugging Face Spaces

• Push this repo and select Docker SDK.
• The UI and AI will run together, with Nginx proxying /api/ to the backend.

File Structure

• src/ — React UI
• app.py — Flask AI backend
• Dockerfile — unified build
• nginx.conf — reverse proxy config
• requirements.txt — Python dependencies
• dataset.json — university Q&A set

Connecting UI to AI

• The UI should send requests to /api/chat and /api/feedback.