Building an app can be a daunting task, especially when it comes to integrating cutting-edge technologies like AI.

This blog post demystifies the process of linking DALL·E 3 through OpenAI with your Bubble app.

We'll walk through the key steps outlined in our video tutorial and shed light on the nuances of each phase.

Watch the video and read on to learn more:

Setting Up Your API Connection

The first step is establishing the API connection within Bubble. Here's how to get started:

1. Access the Plugins: Navigate to the plugins section in your Bubble app.
2. Add API Connector: If you haven't already, add the API connector as a new plugin.
3. Configure OpenAI API Connection: Use the API connector to set up your connection with OpenAI. Input your private key, header, and authorization details here.

Understanding Your API Connector

It's crucial to get familiar with the API connector you've just added.

You'll need to enter your OpenAI API keys in both the production and development fields.

Copying them accurately is vital – any discrepancy can cause errors.

Diving into API Calls

API calls are your bread and butter when communicating with OpenAI's servers.

Here’s what to focus on:

1. Add a New API Call: Name it something intuitive, like "Image Generation."
2. Review OpenAI Documentation: Understand the API call structure by reviewing OpenAI's documentation, especially the 'images' endpoint used for image generation.

Making the API Call

To generate images, you'll need to:

1. Change Request Type to POST: This sends data to OpenAI and receives a response.
2. Paste the Endpoint URL: Copy it from OpenAI's documentation and place it in the API connector.
3. Set it as an Action: This allows you to trigger this API call within your app's workflows.

Configuring Headers and Body

For your headers:

1. Ensure Authorization is Set: This should have been done during the initial API setup.
2. Add Content Type as Application/Json: Critical for OpenAI to understand the data format you're sending.

For the body:

1. Copy the JSON Payload: This will typically include the model (e.g., DALL·E 3), the prompt, the number of images you want, and their sizes.
2. Paste the JSON Body: This goes into your API call configuration within Bubble.

Testing Your API Call

1. Initialize the Call: Use a default prompt to test and see the kind of response OpenAI sends back.
2. Review the Response: Check for any errors and ensure you receive a URL to the generated image.

Dynamic Prompt Configuration

Allow users to input their prompts dynamically by:

1. Setting Up Dynamic Values: Replace the static prompt in your JSON payload with dynamic values.
2. Reinitialize the Call: Confirm that your setup works with different prompts.

Building the User Interface

Finally, create a page in your app where users can:

1. Enter Their Prompts: Provide an input field for users to type their desired image prompts.
2. Display Results: Show the generated image directly in the app.

Conclusion

By following these steps, you can build a functional image generation app leveraging the power of AI with DALL·E 3 and Bubble.

For those who want to dive deeper and build out the full project, our full course at No Code MBA awaits.