Are you ready to unlock the potential of ChatGPT through Python scripting? In this step-by-step guide, we'll walk you through the process of writing your first Python script to query ChatGPT. Whether you're a seasoned programmer or new to Python, this guide will help you harness the power of OpenAI's ChatGPT with ease.
Getting Started
To begin, launch Terminal and start Jupyter Lab. Open your command prompt and type jupyter-lab to initiate JupyterLab. This will open Jupyter Lab in your web browser.
Navigating JupyterLab
Jupyter Lab provides a user-friendly interface for working with Python. The top menu bar contains various commands, while the left sidebar displays your user account's folders. You can navigate these folders by double-clicking on them.
Creating Your First Python Script
Under the "Notebook" section in the left sidebar, click "Python 3" to create your first Python script. This will take you to an editing window, where you can start writing your code. Let's save this file as "ChatGPT_query."
Writing the Code
It's time to write the Python code that will interact with ChatGPT. Even if you have the code available for copying and pasting, we recommend typing it out to enhance your programming skills. We'll guide you through the process without diving into a detailed explanation of the code.
Activating Python Packages
Start by activating the Python packages you'll use: openai and textract. Type:
Adding Your API Key
In this step, you'll include your API key, which is available from OpenAI and associated with your account. Keep this key confidential. Type:
Remember to replace "YOUR_API_KEY" with your actual key.
Formulating Your Question
Now, let's create a variable to hold the question you want to ask ChatGPT. For example:
You can replace the question with your own.
Sending the Query to ChatGPT
The following code sends your question to ChatGPT for a response. This is the most significant part of the code:
This code utilizes the ChatGPT model and your question for interaction.
Receiving the Response
To view ChatGPT's response, type:
Running the Code
Run your code by selecting "Run All Cells" from the "Run" menu. As the code executes, you'll see an asterisk (*) next to the cell. Finally, the response from ChatGPT will be printed. Congratulations, you've just written your first Python script!
Calculating the Cost
Before we wrap up, let's calculate the cost of your ChatGPT query. As of this video, 1000 tokens cost two-tenths of a cent. To calculate the cost, add the following code to a new cell:
This code calculates the cost based on token usage. Running it will provide you with the cost of the query.
This simple calculation reminds us that every question costs a small amount, even though it's likely a very modest figure.
Feel free to run the script whenever you have a question for ChatGPT. Try different questions to see your Python program in action.
This step-by-step guide has introduced you to scripting ChatGPT with Python, allowing you to interact with the model and receive responses to your queries. It's a powerful tool that can be used for a wide range of applications.
While we've provided a detailed walkthrough, remember that programming and scripting become more intuitive with practice. Experiment with different questions, and explore ChatGPT's capabilities further. With the power of Python scripting, you can unlock ChatGPT's potential for innovative solutions and efficient interactions. Happy scripting!
To learn more about ASU CareerCatalyst's course, "AI Foundations: Scripting ChatGPT with Python," encompassing AI chatbots and Python scripting techniques, click to learn more.
