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

1. Install required packages:

   pip install -r requirements.txt
   

2. Start the server:

   python -m uvicorn main:app
   

3. Access at http://localhost:8000

Demo

demo.mp4

Option 2: NextJS Frontend

A more robust solution with enhanced features and performance.

Prerequisites

• Node.js (v18.17.0 recommended)
• npm

Setup and Running

1. Navigate to NextJS directory:

   cd nextjs
   

2. Set up Node.js:

   nvm install 18.17.0
   nvm use v18.17.0
   

3. Install dependencies:

   npm install --legacy-peer-deps
   

4. Start development server:

   npm run dev
   

5. Access at http://localhost:3000

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

Demo

gptr-demo.mp4

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:

1. Intuitive Research Interface: Streamlined input for research queries.
2. Real-time Progress Tracking: Visual feedback on ongoing research tasks.
3. Interactive Results Display: Easy-to-navigate presentation of findings.
4. Customizable Settings: Adjust research parameters to suit specific needs.
5. 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.