Creating a custom GPT for YouTube thumbnails is the key to unlocking a profitable web app business. By using Bubble’s powerful features, we can turn this into a money-making machine. With some creativity, we can add features like a credit system, loading animations, and even an image editor to make it stand out. The possibilities for this business are endless! ππ°
Key Takeaways π
- Building a custom GPT (Generative Pre-trained Transformer) for creating YouTube thumbnails
- Using Bubble, a no-code website builder, to create both the front-end and back-end of the custom GPT
- Setting up the API connector plugin and creating a call to OpenAI’s Dolly 3 for generating thumbnail images
- Implementing user accounts, signup, and login workflows to save results and potentially charge users to use the custom GPT
- Utilizing components in Bubble for pre-built elements to speed up the development process
- Building out the web application for the custom GPT, including creating input boxes, buttons, and displaying the thumbnail images
- Exploring potential enhancements to the custom GPT, such as adding a credit system, loading icons, image editor, and unique input prompts
Building the Custom GPT π
To turn a YouTube thumbnail custom GPT into its own web app, we will be utilizing Bubble, a powerful no-code website builder with features like workflows, databases, and plugins. This will allow us to create a business around the custom GPT, giving us the ability to build any custom GPT we can imagine using their API connector.
Before we begin, we need to install the API connector plugin and create a call to OpenAI’s Dolly 3. The call requires specific headers, and it’s important to note that the prompt for generating thumbnail images will be dynamic.
| Headers | Values |
|---|---|
| Content-Type | application/JSON |
| Key Authorization | Bearer your secret key |
Generating Thumbnail Images π¨
To generate thumbnail images, we’ll be making a post request to api.open.com/V1/slim/SLGenerations using the Dolly 3 model and dynamic prompts. The resulting image URLs can be saved to the database and displayed within the web application.
"Our model is Dolly 3, and the prompt is dynamic, allowing users to write the title of their YouTube video, ensuring the generated thumbnail is unique for each video."
Implementing User Accounts and Workflows π
To enable users to save their results and potentially charge for the use of the custom GPT, we’ll need to implement a signup and login workflow. Bubble provides pre-built components that streamline this process, including account signup and login functionalities.
β Registering a user:
- Name
- Password (with confirmation)
- Saving the user’s information to the database
Building the Custom GPT Web Application π±
The web application for the custom GPT will include input boxes, buttons, and image display elements. We’ll utilize Bubble’s design capabilities to ensure the seamless user experience within the application.
| Element | Description |
|---|---|
| Image | Top logo to represent the application |
| Text | Description and instructions for the thumbnail creation |
| Input Box | For users to input their YouTube video title |
| Button | To trigger the creation of the AI-generated thumbnail |
| Image Display | To showcase the generated thumbnail image |
Enhancing the Custom GPT π
The possibilities for enhancing the custom GPT are endless. Some potential ideas include implementing a credit system for generating thumbnails, adding loading icons, integrating an image editor, and experimenting with unique input prompts for creative thumbnail designs.
If you’re interested in diving deeper into the development of custom AI applications, check out our full exclusive online course on how to build your own custom AI app. The possibilities are endless, and the future of AI-driven web applications is limitless. π
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