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!

Features Discussed:

1. OpenAI API (Time: 2:06)
   Learn how to integrate and utilize the OpenAI API for advanced AI functionalities within your application.
2. Pipes (Time: 4:48)
   Learn how to use pipes to connect external services and automate workflows.
3. Record Rules (Time: 11:52)
   Learn how to set up record rules to automate actions when records are created, updated, or deleted.

 

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Transcript Summary

Introduction

Hey everybody, where I take your suggestions and build them live on the fly. This week's episode is actually a suggestion that comes from me. Today, we're going to be looking at OpenAI and how to build a pipe and utilize their API to do some really kind of just straight-up crazy things within an application.

Introduction to OpenAI

If you're unfamiliar with OpenAI, it is essentially what it sounds like—an artificial intelligence API. It's become pretty popular recently with image generation, which is just wild to look at. I started to experiment with this inside of an application by building a pipe with it, and it's really, really cool what we can do with it.

Finished Product Overview

We're going to take a look at a couple of simple examples in this app, but obviously, they have tons of stuff that you can do with it. I'll let you explore after we set up the basics.

Setting Up OpenAI

Before we even get to the builder, let's set up our OpenAI account. I've already gone ahead and created an account. To create your own and get access to the API, visit openai.com, click on the API link, and follow all the instructions. Keep in mind that you're going to have access to a free version, so your API requests will be working off available credits that your account has.

Exploring OpenAI Capabilities

They have a lot of pre-built examples. We're going to look at a couple of these examples today:

1. Question and Answer
2. TL;DR Summarization

They also have really neat stuff like coding help, grammar correction, and keyword extraction.

OpenAI Playground

OpenAI offers a Playground feature where you can test out different examples and see the responses. The settings you see, like engine, max tokens, temperature, etc., can be adjusted depending on the model and input you give it. I suggest looking at the documentation to better understand these settings.

Creating the Pipe

Back in the builder, we're going to go to the pipes section and add a pipe. We can call this "OpenAI" and add a single API call. We’ll start with the TL;DR summarization example. We'll reference the Playground code to help us set it up.

Setting Up Headers

We'll need to set up the headers with:

• Content-Type: application/json
• Authorization: Bearer (followed by your API key)

Configuring the Request

We'll configure the request to be a JSON object, specifying the parameters and their values. We’ll also map the API response to be used in our application.

Implementing in the App

We'll add a form in the app where users can input a block of text. Upon submission, OpenAI will summarize the text and display the response.

Testing the Setup

We’ll test the setup by submitting different text inputs and observing how OpenAI generates different summaries each time, showcasing the API's variability.

Question and Answer Example

We’ll set up another pipe for the Question and Answer feature, where users can input questions, and OpenAI will provide answers. We’ll configure it similarly to the TL;DR example but with different settings in the request.

Adding the Q&A to the App

We’ll add a page and form for the Q&A, set up the pipe, and map the response to display the answer.

Final Thoughts

This API is really cool and versatile. There's so much potential in using it, and I encourage everyone to explore different ways to integrate it into their apps. We'll likely revisit this in future episodes, as there are so many more possibilities to explore.