In progress...

StoryLoom can generate bedtime stories using AI based on the child's age, likings, behaviors, and more. We use generative TTS to read the stories to the child.

storyloom/
├── apps/
│   ├── python/                   # Python backend application
│   └── web/                      # Next.js web application
├── package.json                  # Root package configuration
├── pnpm-workspace.yaml           # pnpm workspace configuration
└── turbo.json                    # Turbo monorepo configuration

Before you begin, ensure you have the following installed:

• Node.js (v18 or later)
• pnpm (v8 or later)
• Python (v3.8 or later)

git clone https://github.com/<your-username>/storyloom.git
cd storyloom

pnpm install

Make a copy of the .env.example file and name it .env for each application under the apps/ directory.

cp apps/web/.env.example apps/web/.env
cp apps/python/.env.example apps/python/.env

Make sure to fill in the values for the environment variables.

Make sure your AWS credentials has the following managed policies:

• AmazonDynamoDBFullAccess
• AmazonAPIGatewayAdministrator
• AmazonS3FullAccess
• AWSCloudFormationFullAccess
• AWSLambda_FullAccess

1. Create a two tables called storyloom-users and storyloom-auth in DynamoDB
2. Setup auth table to have partition key as pk and sort key as sk. You may also create a global secondary index on the email attribute.
3. Setup user table to have partition key as email.

turbo dev

• Open http://localhost:3000 in your browser
• You should see the Storyloom homepage
• Try signing in to test authentication

We welcome contributions! Here's how you can help:

• Report bugs or request features by creating an issue
• Submit code changes by making a pull request to solve existing issues

1. Fork this repository
2. Clone your fork
3. Add the upstream remote: git remote add upstream https://github.com/tiluckdave/storyloom.git
4. Create a feature branch: git checkout -b feature/amazing-feature
5. Make your changes and test them
6. Commit your changes: git commit -m 'Add amazing feature'
7. Push to the branch: git push origin feature/amazing-feature
8. Open a Pull Request

• Follow the existing code style and conventions
• Use TypeScript for type safety
• Write meaningful commit messages

Make sure to run turbo lint and turbo check-types to check for any errors.