AI Fundamentals: Building AI Solutions with Python

This repository is designed to provide you with a foundation in the basic building blocks of creating AI solutions using Python.

Getting Started

1. Clone the repository

git clone https://github.com/daveebbelaar/ai-fundamentals.git

2. Create a Python environment

Python 3.6 or higher using venv or conda. Using venv:

cd ai-fundamentals
python3 -m venv env
source env/bin/activate

Using conda:

cd ai-fundamentals
conda create -n ai-fundamentals python=3.10
conda activate ai-fundamentals

3. Install the required dependencies

pip install -r requirements.txt

4. Set up the keys in a .env file

First, create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:

OPENAI_API_KEY="your_api_key_here"

Save the file and close it. In your Python script or Jupyter notebook, load the .env file using the following code:

from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())

By using the right naming convention for the environment variable, you don't have to manually store the key in a separate variable and pass it to the function. The library or package that requires the API key will automatically recognize the OPENAI_API_KEY environment variable and use its value.

When needed, you can access the OPENAI_API_KEY as an environment variable:

import os
api_key = os.environ['OPENAI_API_KEY']

Tutorials

For video tutorials on how to use this repository and run experiments, visit the YouTube channel: youtube.com/@daveebbelaar