Hi everyone! I am super excited to show you the five easy steps to interface with the new ChatGPT4 model, which has been released with Python. In this super easy tutorial, we will walk through the process together. Let’s get started!
Step 1: Create an Account The first thing you need to do is go to OpenAI and create an account. Once you’re there, you will need to get your new API key. Go to ‘Personal’ and click on ‘View API Keys’. If you don’t have one already, it’s super simple to create. Just copy the API key and save it in your workspace.
Step 2: Install Packages Next, we need to install the required packages. Use the following command to install the OpenAI package: ‘pip3 install openai’. Additionally, we need to install a package called ‘yaml’, which will be helpful for our project.
Step 3: Create Configuration File Now, let’s create a file called ‘config.yaml’. In this file, paste the API key you received earlier. Make sure to keep this file secure as it contains sensitive information.
Step 4: Create Main Program In your workspace, create a file called ‘gpt4.py’. This will be our main program where we will interact with the ChatGPT4 model.
Step 5: Import Libraries In the ‘gpt4.py’ file, import the necessary libraries. We will need the OpenAI library and the yaml library.
Step 6: Set Up API Key To securely access the API key, we will load it from the ‘config.yaml’ file. Use the following code to load the API key as a dictionary:
config = yaml.load(open(‘config.yaml’)) openai.api_key = config[‘yaml’][’token’]
Step 7: Set Model and Roles Next, we need to set the model we want to use. In this case, we will use ‘gpt-4’. Additionally, we need to define the roles for the conversation. There are three roles: system, user, and assistant. The system role sets the behavior of the assistant, the user role provides requests or comments, and the assistant role stores previous assistant responses.
Step 8: Create Message Array Now, let’s create an array of messages. Each message object should have a role (system, user, or assistant) and content. The system message sets the behavior, the user message provides the request or comment, and the assistant message stores previous responses.
Step 9: Call the API We are now ready to call the API. Use the ‘chat_completion.create()’ function to interact with the ChatGPT4 model. Pass in the model, messages array, and any additional parameters.
Step 10: Print the Response Finally, print the response from the API. You can access the answer and other details from the JSON object returned by the API.
That’s it! You have successfully interfaced with the new ChatGPT4 model using Python. I hope you found this tutorial helpful. If you have any questions, feel free to ask. Thank you for your support!
