It's the same language model used in the background by ChatGPT. In this tutorial, you use the text-davinci-003 language model. In order to specify our completion, you pass in some properties: model identifies the OpenAI language model used to generate an answer for the text which we assign to the prompt property. It then calls the method to use one of their language models to generate text based on inbMsg. Inside of the /sms webhook, this code creates a variable inbMsg from the inbound text message users will text in and prints it out. """Respond to incoming calls with a simple text message.""" If you're using a Unix or macOS system, open a terminal and enter the following methods=) Since you will be installing some Python packages for this project, you will need to make a new project directory and a virtual environment. You can also choose to automate ngrok as shown in this article. This is needed for the development version of the application because your computer is likely behind a router or firewall, so it isn’t directly reachable on the Internet. ngrok, a handy utility to connect the development version of our Python application running on your machine to a public URL that Twilio can access.Python installed - download Python here.OpenAI Account – make an OpenAI Account here.A Twilio phone number with SMS capabilities - learn how to buy a Twilio Phone Number here.A Twilio account - sign up for a free one here. To make a ChatGPT-like application via SMS with Python, you must use the OpenAI API. Language-related tasks it can perform include translation, summarization, and question answering, as well as text generation comparable to human text generation. This multi-layer neural network is good for processing sequential data, like text. The GPT-3 model uses a transformer architecture.
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