TAD workshop

This repository contains the Text as Data workshop in Fall 2025.

How to use this repository

1. Clone the repository to your local machine.
2. The .ipynb file contains the code for the workshop; the .html file is the rendered version of the notebook for easier reading.
3. Create a .env file in the repository root (same folder as this README) and add your LLM API key in the format OPENAI_API_KEY=your-key-here. This is required for the LangChain examples that call OpenAI models.
4. To execute the code, open the Jupyter notebook file and run the code cells sequentially.

Managing your API key

• The .env file should stay local; do not commit it to version control.
• Replace your-key-here with a valid OpenAI key that has access to the gpt-4o model (or adjust the notebook to use a different model and key name if needed).
• If you are using a different LLM provider, update both the .env entry and the notebook configuration accordingly.