⚡ AutoGen AI

AI-powered product documentation generator with a modular FastAPI backend and a Streamlit frontend.

AutoGen AI converts a short product brief into high-quality outputs:

• Product Requirement Documents (PRDs)
• Landing page content
• FAQs
• Marketing copy

Built with OpenAI models, a clean modular architecture, user authentication, and per-user history tracking.

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🚀 Features

🔹 Streamlit Frontend

• Clean UI for writing a short product brief
• Adjustable depth slider for level of detail
• History panel for last 10 generations
• Responsive layout for demo & usage

🔹 FastAPI Backend

Endpoints

/generate  # generate PRD, FAQ, landing page, marketing copy
/signup    # register users
/login     # authenticate users
/history   # fetch recent generations

Modular architecture

main.py      -> API routers
database.py  -> SQLite + SQLAlchemy DB
models.py    -> ORM models
prompts.py   -> prompt templates
utils.py     -> helper utilities

🔹 User Authentication

• Passwords hashed securely with bcrypt
• SQLite storage for users & generation history
• Simple token/session-based flow (demo-friendly)

🔹 AI Integration

• OpenAI GPT models for content generation
• Centralized prompt templates for consistent outputs
• Offline-safe demo fallback

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📁 Project Structure

auto_gen_ai/
├── assets/
│   └── ui_preview.png
├── backend/
│   ├── main.py
│   ├── database.py
│   ├── models.py
│   ├── prompts.py
│   ├── utils.py
│   └── routers/
├── frontend/
│   ├── app.py
│   └── requirements.txt
├── productdoc.db
├── .env.example
├── .gitignore
├── README.md
└── LICENSE

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🧱 Clean Architecture (Visual Overview)

───────────────────────────────────────────────────────────────────────────────
┌──────────────────────────────────────────────────────────────────────────────┐
│ PRESENTATION LAYER        (UI - Streamlit)                                   │
│                                                                              │
│   • frontend/app.py                                                          │
└──────────────────────────────▲───────────────────────────────────────────────┘
                               │
───────────────────────────────│───────────────────────────────────────────────
                               │
┌─────────────────────────────────────────────────────────────────────────────┐
│ APPLICATION / USE CASES LAYER                                               │
│                                                                             │
│   • backend/main.py     • backend/prompts.py     • backend/utils.py         │
└──────────────────────────────▲──────────────────────────────────────────────┘
                               │
───────────────────────────────│───────────────────────────────────────────────
                               │
┌──────────────────────────────────────────────────────────────────────────────┐
│ DOMAIN LAYER               (Business Entities)                               │
│                                                                              │
│   • backend/models.py                                                        │
└──────────────────────────────▲───────────────────────────────────────────────┘
                               │
───────────────────────────────│───────────────────────────────────────────────
                               │
┌───────────────────────────────────────────────────────────────────────────────┐
│ INFRASTRUCTURE LAYER                                                          │
│                                                                               │
│   • backend/database.py                                                       │
└───────────────────────────────────────────────────────────────────────────────┘

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⚙️ Installation & Setup

1. Clone the repository

git clone https://github.com/nirjanadas/auto-gen-ai.git
cd auto-gen-ai

2. Install dependencies

pip install -r requirements.txt

3. Create a .env file

BACKEND_URL=http://localhost:8000
OPENAI_API_KEY=your_key_here

4. Run the backend

cd backend
uvicorn main:app --reload --port 8000

5. Run the frontend

cd frontend
streamlit run app.py

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🔐 Authentication Flow

• Users sign up with email & password
• Passwords are hashed with bcrypt
• Login returns a session token
• Per-user generation history is stored in SQLite

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🧠 Tech Stack

🖥️ Frontend

Technology	Purpose
🎨 Streamlit	UI & user interaction
🐍 Python	Core language

⚙️ Backend

Technology	Purpose
🚀 FastAPI	API framework
🏗️ SQLAlchemy	ORM & database layer
🗄️ SQLite	Lightweight database

🤖 AI

Technology	Purpose
🔮 OpenAI GPT Models	Content generation

🔐 Security

Technology	Purpose
🔑 bcrypt	Password hashing
🧩 .env Config	Secure environment variables

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🤝 Contributions

Contributions welcome. For major changes, please open an issue to discuss.

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