The function takes the question or prompt from the user as a first argument, followed by an optional chat log. The askgpt() function is where all the magic happens. This is the object that will interact with the OpenAI service. The completion variable holds the actual client that connects to the ChatGPT engine. Note how the OPENAI_KEY variable is used in the following line to initialize OpenAI with the key. env file as environment variables, which in this case is done to read the OpenAI key you stored in this file earlier. The load_dotenv() function imports data stored in the. If you are using a Unix or macOS system, open a terminal and enter the following commands to do the tasks described above:

Then you are going to install the Python packages that are needed for the chatbot. Request access here.įollowing Python best practices, as a first step in creating the chatbot you are going to create a separate directory for the project, and inside it you are going to create a virtual environment.

If your operating system does not provide a Python interpreter, you can go to to download an installer. To follow this tutorial you need the following items: In this tutorial you will learn how to integrate ChatGPT with a Python application. OpenAI provides an interactive website in which you can chat with ChatGPT at, but it has also made an API available to allow developers to integrate it into their applications. If you are in tech and are active on social media, chances are you have heard about ChatGPT, the popular language model from OpenAI, that can have a fluent conversation in a way that is often indistinguishable from a human.

Python2 pip