AQuA

AQuA is a full-stack project for analyzing videos and answering user queries about their content. It includes a Flask backend, a React frontend, and a processing Pipeline for audio/video tasks.

Structure

• Pipeline/: Video/audio processing scripts and data assets
• React_ver/flask_Backend/: Flask API for uploads, chat, and storage
• React_ver/ReactFrontend/: React UI for interacting with the system

Prerequisites

• Python 3.11+
• Node.js 18+
• PostgreSQL (for backend storage)

Quick Start

1) Backend (Flask)

• Navigate to React_ver/flask_Backend/ and follow its README for:
  • Creating/activating a venv
  • Installing Python dependencies
  • Setting required environment variables (SendGrid, Gemini, GPT follow-up API)
  • Initializing the database
• Run: python app.py (defaults to http://127.0.0.1:5000)

2) Frontend (React)

• Navigate to React_ver/ReactFrontend/
• Install and run:

npm install
npm run dev

• Open the URL printed by Vite (typically http://localhost:5173)

3) Pipeline

• See Pipeline/ for scripts and sample data used during processing
• Ensure any required model files or tokens are configured as noted in the pipeline scripts

Environment Variables

Sensitive credentials are not hardcoded. Set them before running the backend; see React_ver/flask_Backend/README.md for the full list and examples.