Draftly

Draftly is designed to assist users in writing text content using provided sources as context to generate auto-completions. It leverages Groq's API for text generation and Supabase for file storage and management. The application is designed for students, researchers, copywriters, and anyone who needs to generate text content efficiently.

Features

• Text Completion: Generate text suggestions in real-time as you type, using OpenAI's API.
• User Authentication: Secure user authentication with Clerk.
• Document Upload: Upload and manage sources, providing context for autocomplete generation.

Installation

To get started with Draftly, follow these steps:

1. Clone the repository:

   git clone https://github.com/sameelarif/draftly.git
   cd draftly

2. Install dependencies:

   npm install
   # or
   yarn install
   # or
   pnpm install

3. Set up environment variables: Create a .env file in the root directory and add the following variables:

   NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
   NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
   OPENAI_API_KEY=your_openai_api_key
   

4. Run the development server:

   npm run dev
   # or
   yarn dev
   # or
   pnpm dev

5. Open your browser: Visit http://localhost:3000 to see the application in action.

Deployment

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out the Next.js deployment documentation for more details.

You also need to set up a Supabase project and add the necessary environment variables to the .env file.

Only one table is used in the database:

• source

  id	user_id	label	content	created_at
  int8	text	text	text	timestamptz

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!