Webscribe: Your AI-Powered Web Content Assistant

This repository houses Webscribe, a powerful web application built with Next.js, Tailwind CSS, and TypeScript. Webscribe is designed to help you create, analyze, and manage web content with the aid of AI.

Features

• AI-powered content generation: Leverage powerful AI models to generate high-quality content for your website, including articles, blog posts, social media updates, and more.
• Content analysis and optimization: Get insights into your existing content, identify areas for improvement, and receive suggestions for SEO optimization.
• Effortless web scraping: Crawl websites and extract data, making it easy to gather information and build datasets for various purposes.
• Intuitive user interface: A clean and user-friendly interface built with Next.js and Tailwind CSS for an enjoyable and efficient experience.
• Built with TypeScript: Enjoy the benefits of static typing for improved code quality, maintainability, and readability.

Project Structure

The repository is structured as follows:

└── app
    └── api
        └── chat
            └── route.ts

    └── favicon.ico
    └── globals.css
    └── layout.tsx
    └── page.tsx
└── components.json
└── components
    └── mainpage.tsx
    └── theme-provider.tsx
        └── ui
            └── button.tsx
            └── input.tsx
            └── label.tsx
            └── radio-group.tsx
            └── switch.tsx
└── lib
    └── utils.ts
└── next.config.mjs
└── package-lock.json
└── package.json
└── postcss.config.mjs
└── public
    └── next.svg
    └── vercel.svg
└── tailwind.config.ts
└── tsconfig.json

• app: Contains the Next.js application code, including pages, components, and API routes.
• components: Houses reusable UI components for building the application interface.
• lib: Includes utility functions and shared logic for the application.
• public: Contains static assets such as images and icons.

Getting Started

1. Clone the repository:

   git clone https://github.com/your-username/webscribe.git

2. Install dependencies:

   cd webscribe
   npm install

3. Start the development server:

   npm run dev

4. Set Environment Variables

    #Google Generative AI API Key
    # Obtain from https://aistudio.google.com/app/apikey
    GOOGLE_GENERATIVE_AI_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
    create .env.local file and put it in that

5. Access the application: Open http://localhost:3000 in your web browser.

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.