How do I use OpenAI with my app?

Hey everybody! Welcome back to another episode of Build It with Tim. Today, I want to show you how to build a pipe and utilize OpenAI's API to do some really cool things in an application. OpenAI is an artificial intelligence API that has gained popularity, especially with its image generation capabilities. I've been experimenting with it and built a pipe to explore its potential.

In this episode, we'll focus on a couple of simple examples. OpenAI offers various functionalities, including question and answer and TLDR summarization. We'll start by setting up our OpenAI account, which you can create on their website. Keep in mind that the free version has some limitations, such as the number of API requests and available credits. If you want to use it extensively, there may be costs involved.

OpenAI provides a playground feature where you can test different examples and get responses. We'll start with the question and answer and TLDR summarization examples. In the playground, you can find the code for each example, which we'll use to build our pipe.

Now let's jump into the builder and add a pipe. We'll name it "openai" and focus on the TLDR example. We'll copy the code from the playground, which includes the API endpoint, headers, and the request body. In the pipe settings, we'll set up the headers, including the content type and authorization using our API key.

Next, we'll define a parameter called "prompt" and set its value from the form component that will provide the input. Then we'll map the API response so that we can use the summarized text in our application.

In the page builder, we'll create a form with a prompt field. We'll add a record rule to trigger the pipe when the form is submitted. The pipe will use the prompt value from the form and provide the response value, which we'll display in a list component.

We can now preview the page and see the TLDR summarization in action. Each time we submit the form, OpenAI will provide a different summary of the input text.

To explore the question and answer example, we'll create another data table with question and answer fields. We'll set up a new pipe for question and answer, adjusting the values of max tokens, temperature, and top P according to the example in the playground.

By changing these values, we can get different types of responses. We'll map the response to the answer field in our data table.

That's it for this episode. I hope you enjoyed exploring OpenAI's API and building pipes to utilize its capabilities. Remember to check out OpenAI's documentation for more examples and details on how to use their API. Stay tuned for the next episode of Build It with Tim. See you next time!