{"repo":"machinelearningZH/simply-simplify-language","free":true,"listed":false,"github":"https://github.com/machinelearningZH/simply-simplify-language","clone":"git clone https://github.com/machinelearningZH/simply-simplify-language.git","description":"Use machine learning to make your institutional communication more understandable and inclusive.","language":"Python","stars":50,"topics":["einfachesprache","llm","llms","natural-language-processing","nlp","plainlanguage","spacy","streamlit","leichtesprache","anthropic"],"license":"MIT","category":"ai-agents","readme_excerpt":"Simply simplify language Use LLMs to simplify your institutional communication. Get rid of «Behördendeutsch». Contents - Usage - Project information - What does the app do? - What does it cost? - Our language guidelines - A couple of findings - How does the understandability score work? - What does the score mean? - Project team - Contributing - License - Miscellaneous - Disclaimer Usage - You can run the app locally , with Docker , in the cloud or in a GitHub Codespace . - The app uses OpenRouter as a unified API provider to access multiple leading language models. - All available models are configured in config.yaml and can be easily customized for your needs. Running Locally 1. Install uv. 2. Clone the repo and enter the directory:\\ cd simply-simplify-language/ 3. Install dependencies:\\ make sync 4. Add your OpenRouter API key to a .env file in streamlit app/ : 5. Start the app:\\ make run The Make targets are thin wrappers around uv ; you can also run the underlying uv commands directly. Getting your OpenRouter API key 1. Register at OpenRouter 2. Create an API key: API Keys 3. Add credits: Credits Running with Docker 1. Add your OpenRouter API key to streamlit app/.env as described above. 2. Build the image: 3. Start the container and pass the API key at runtime: 4. Open . The .env file is excluded from the image by .dockerignore . Do not add API keys to the Dockerfile or image. Running in the Cloud - Instantiate a small virtual machine with the cloud provider of your cho","default_branch":null,"files":null,"tree":[],"storefront":"/r/machinelearningZH","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/machinelearningZH/simply-simplify-language/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}