Dryink is an AI-powered video generation platform that enables users to create engaging videos using natural language prompts. The application leverages Large Language Models (LLMs) to generate video content and enhances it with AI-generated audio and text overlays.
-
AI Video Generation: Create videos using natural language prompts
-
Smart Enhancements:
- AI-generated audio narration
- Dynamic text overlays
- Custom styling options
-
Easy Sharing: Generate unique URLs for video sharing
-
Export Options: Download videos in various formats
-
User Dashboard: Manage and organize your video projects
dryink/
├── fe/ # Frontend (Next.js)
├── be/ # Backend API
├── worker/ # Background processing worker
└── db/ # Database migrations and schemas
-
Frontend: Next.js, TypeScript, Tailwind CSS
-
Backend: Node.js, Express
-
Database: PostgreSQL
-
Queue System: Redis
-
Storage: AWS S3
-
AI/ML: Google's Gemini 2.0 Flash
-
Node.js (v18 or higher)
-
npm or yarn
-
PostgreSQL
-
Redis
-
AWS Account (for S3)
-
Google AI Studio API Key
git clone https://github.com/nafri/dryink.git
cd dryink
# Frontend
cd fe
npm install
# Backend
cd ../be
npm install
# Worker
cd ../worker
npm install
Create .env files in each service directory (fe, be, worker) with the following variables:
# Backend (.env)
PORT=5000
LLM_API_KEY='your-google-ai-studio-api-key'
S3_BUCKET_ACCESS_KEY='your-s3-access-key'
S3_BUCKET_SECRET_KEY='your-s3-secret-key'
AWS_REGION='ap-south-1'
AWS_BUCKET='your-bucket-name'
LLM_MODEL='gemini-2.0-flash'
REDIS_URL='your-redis-url'
# Terminal 1 - Backend
cd be
npm run dev
# Terminal 2 - Frontend
cd fe
npm run dev
# Terminal 3 - Worker
cd worker
npm run dev
The application will be available at:
-
Frontend: http://localhost:3000
-
Backend API: http://localhost:5000
-
We use ESLint and Prettier for code formatting
-
TypeScript for type safety
-
Follow the existing code style and patterns
# Frontend tests
cd fe
npm test
# Backend tests
cd be
npm test
-
Fork the repository
-
Create your feature branch (
git checkout -b feature/amazing-feature) -
Commit your changes (
git commit -m 'Add some amazing feature') -
Push to the branch (
git push origin feature/amazing-feature) -
Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- All contributors who have helped shape this project