TheFrame

Upload a TOP 1000 most-famous painting image from a curated JSON list to your Samsung TheFrame TV.

Features

• Automatically selects and uploads random artwork to your Samsung TheFrame TV
• Embeds metadata directly onto images before uploading (Author, Title, Century, Location)
• Manages artwork collections with metadata enrichment using AI
• Modern Python implementation with type hints and async operations
• Improved error handling and logging
• Cross-platform font support for metadata embedding

Requirements

• Python 3.8 or higher
• A Samsung TheFrame TV with network access
• An Ollama server for metadata enrichment (optional)

Installation

1. Clone this repository:

   git clone https://github.com/tombatossals/theframe.git
   cd theframe

2. Create a virtual environment and activate it:

   uv venv # Alto valid: python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies:

   pip install -e .

Configuration

1. Copy the example environment file:

   cp .env.example .env

2. Edit .env with your Samsung TheFrame TV settings:

   • THEFRAME_IP: IP address of your TV
   • THEFRAME_TOKEN: Authentication token for your TV
   • Other settings as needed

Usage

Upload a random image to your TV:

python main.py upload --embed

Generate artwork metadata from image files:

python main.py generate

Populate artwork metadata with AI enrichment:

python main.py populate

Check for errors in artwork metadata:

python main.py errors

Quick upload script:

./upload.sh

You can also use the installed command:

theframe upload --embed

Development

Install development dependencies:

pip install -e ".[dev]"

Run code formatting:

black .

Run linting:

flake8

Run type checking:

mypy .

Run all checks:

make check

License

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