AI Prompting Playground

The script is used to generate data based on a prompt sent to AI on any topic. The project is inspired by the course: The Complete Prompt Engineering Bootcamp

Prerequisites

• An active account on OpenAI
• API Key: https://platform.openai.com/settings/organization/api-keys
• python3

Installation

git clone git@github.com:kkrolikowski/ai-prompting-playground.git
cd ai-prompting-playground
python3 -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt
mv .env-example .env

☝️ The generated OpenAI token should be saved in the .env file.

Usage

In the templates directory, there is a sample prompt file: article_outline.j2. It is a Jinja2 template equipped with logic that allows generating data using AI in several formats:

• JSON
• Markdown
• YAML

In the file run.py, the following code handles data generation according to the specified format:

prompt = ai.prompt_render({
  "variables": {"article": "What is data engineering?", "format": "yaml"},
  "template": "article_outline"
})

Variables

• variables contains the variables that are passed directly to the Jinja template.
• template the value of this option is the file name without the extension, which is located in the templates directory.

Adding prompts

To add a new prompt, you need to create a new file in templates with the extension: .j2. The file can be freely rendered using Jinja. The file name and variables used to construct the prompt are configured in the run.py file according to the above example.