Real-Time Chat Application

A learning-focused real-time chat application built with FastAPI, WebSockets, JWT authentication, PostgreSQL, and Streamlit.

Tech Stack

• FastAPI (Backend & REST APIs)
• WebSockets (Real-time messaging)
• JWT Authentication
• PostgreSQL (Persistent storage)
• Streamlit (Frontend UI)

Features

• User authentication (signup/login) with JWT
• Authenticated WebSocket connections
• Real-time message broadcasting
• Message persistence in PostgreSQL
• Room-based chat support
• Minimal Streamlit frontend

Architecture Overview

1. User logs in via REST API
2. JWT is issued and stored client-side
3. WebSocket connection established using JWT header
4. Messages are broadcast and stored in database

Running the Project

Backend

Run Locally

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload

### Frontend
```bash
streamlit run app.py