Software Engineer's Bootcamp: Developing AI Applications
- Obtaining OpenAI API Key
- Downloading Visual Studio Code (or any other IDEs)
# Check our this repo for your reference
Visit my GitHub to clone the AI Apps Bootcamp repository.
git clone https://github.com/madhusudhankonda/ai-apps-bootcamp.git ai-demo
The cd into the ai-demo
folder
You have two options to setup a python env (I'm using pip
for this setup)
- You can use the provided
setup.sh
script to set your Python Virtual Environment if needed - You can manually create the
venv
Here are the both types of instructions (follow what ever is convenient for you):
## Setting up the Python Env using a script
The project has a setup file - all you have to do is execute the script:
# Execute the script
. ./setup.sh
Executing the above script will
- Create a virtual environment automatically
- Once the venv was setup, it'll make sure the venv gets activated
- The requirements file gets invokes to install the required modules
You can setup your Python virtual env manually as the instructions below demonstrate:
# Creating the virtual env
python -m venv .venv
Executing this command would create a virtual environmnet with a name .venv
. The next step is to make sure we activate it.
Ensure the following command gets executed for the venv
to get activated:
# Activating the Virtual Environment
source .venv/bin/activate
This command activates the virtual env. You can also issue deactivate
if you'd want the venv to be shutdown.
if you are using conda, you can follow the similar steps:
conda create -n .venvconda python=3.11
conda activate .venvconda
Now that we have the env ready, let's install the dependencies.
# Installing the dependencies
The dependencies for this project are provided in the requirements.txt
file.
# Installing the dependencies
pip install -r requirements.txt
Executing the above command should get the dependencies installed.
We can set the OPENAI_API_KEY in multiple ways - preferred is to use .env
in the root folder, holding the keys and other sensitive info.
For this example, we simple set the key as an environment variable:
export OPENAI_API_KEY="<your-api-key>"
That's pretty much the information on setting up the project for working through this Bootcamp.
Let's dive into individual projects to get through the fundamentals - let's begin our journey into the world of AI.