Child GPT, the web interface, is a way for you to have a conversational interface. One of the cool things is that you can also use a large language model to build your custom chatbot. In this article, we will describe the components of the OpenAI chat completions format and guide you on how to build your own chatbot.
To get started, you need to set up the OpenAI Python package. Chat models like Chat GPT are trained to take a series of messages as input and return a model-generated message as output. The chat format is designed to make multi-term conversations easy, but it is also useful for single-turn tasks.
Next, we define two helper functions. The first one is the ‘get_completion’ function, which takes a prompt as input and returns a completion. The second one is a new helper function that takes a list of messages as input and returns a completion. This allows us to have more complex conversations.
In a conversation, messages can have different roles. The system message sets the behavior and persona of the assistant. It guides the assistant’s responses without the user being aware of it. User messages are the input from the user, and assistant messages are the output from the model.
We can use these messages to have a conversation with the language model. By providing the necessary context, the model can generate appropriate responses. We can also use the context to refer to earlier parts of the conversation.
Now, let’s build our own chatbot called Autobot. Autobot is an automated service that collects orders for a pizza restaurant. We define a helper function to collect user prompts and assistive responses. The function appends the messages to a context list and calls the model with that context.
We can interact with Autobot through a user interface. The context contains the system message, which provides instructions for the conversation. We can ask Autobot to take orders, clarify options, and collect payment. The model-generated responses are conversational and friendly.
Finally, we can ask the model to create a JSON summary of the conversation. This summary includes the food order, prices, extras, sides, and the total price. We can customize Autobot by changing the system message and behavior.
In conclusion, Child GPT and the OpenAI chat completions format provide a powerful tool for building custom chatbots. With the right setup and context, you can create conversational and interactive experiences. Have fun building your own chatbot and exploring the possibilities of language models!
