Frontend Application

This frontend project aims to enhance the user experience of GPT-Researcher, providing an intuitive and efficient interface for automated research. It offers two deployment options to suit different needs and environments.

Option 1: Static Frontend (FastAPI)

A lightweight solution using FastAPI to serve static files.

Prerequisites

Python 3.11+
pip

Setup and Running

Install required packages:
```
pip install -r requirements.txt
```
Start the server:
```
python -m uvicorn main:app
```
Access at http://localhost:8000

Demo

https://github.com/assafelovic/gpt-researcher/assets/13554167/dd6cf08f-b31e-40c6-9907-1915f52a7110

Option 2: NextJS Frontend

A more robust solution with enhanced features and performance.

Prerequisites

Node.js (v18.17.0 recommended)
npm

Setup and Running

Navigate to NextJS directory:
```
cd nextjs
```
Set up Node.js:
```
nvm install 18.17.0
nvm use v18.17.0
```
Install dependencies:
```
npm install --legacy-peer-deps
```
Start development server:
```
npm run dev
```
Access at http://localhost:3000

Note: Requires backend server on localhost:8000 as detailed in option 1.

Demo

https://github.com/user-attachments/assets/092e9e71-7e27-475d-8c4f-9dddd28934a3

Choosing an Option

Static Frontend: Quick setup, lightweight deployment.
NextJS Frontend: Feature-rich, scalable, better performance and SEO.

For production, NextJS is recommended.

Frontend Features

Our frontend enhances GPT-Researcher by providing:

Intuitive Research Interface: Streamlined input for research queries.
Real-time Progress Tracking: Visual feedback on ongoing research tasks.
Interactive Results Display: Easy-to-navigate presentation of findings.
Customizable Settings: Adjust research parameters to suit specific needs.
Responsive Design: Optimal experience across various devices.

These features aim to make the research process more efficient and user-friendly, complementing GPT-Researcher's powerful agent capabilities.