Build an AI App with ChatGPT and NextJS

Table of Contents

1. Introduction
2. Building the Front End
3. Implementing Functionality
4. Setting up the Backend
5. Connecting to OpenAI
6. Handling User Input
7. Making Backend Call
8. Displaying the Result
9. Clearing the Input Field
10. Styling the Application
11. Conclusion

Building the Front End

In this video, we will be focusing on building the front end of our AI prompt generator application. We will start by importing React and setting up the necessary variables. We will then update the HTML tags to make them more Meaningful and visually appealing. After that, we will handle the user input by using the useState hook and creating a function called handleInput. This function will allow us to update the value variable with whatever the user types in the input box. We will also add a button called "Generate" that will submit the user's input once clicked.

Implementing Functionality

Now that we have the basic structure of our front end, we can start implementing the functionality. We will Create a function called handleSubmit, which will be triggered when the user clicks the "Generate" button. Inside this function, we will set the completion variable to "Loading" to indicate that the application is processing the user's request. We will then make a call to our backend using the fetch function. We will pass the user's input as a JSON STRING in the request body. Once we receive a response from the backend, we will update the completion variable with the result obtained from OpenAI.

Setting up the Backend

Before we can connect to OpenAI and make the backend call, we need to set up the backend of our application. In the project structure, we will create a folder called "API" and inside that folder, we will create a file called "hello.ts". This file will contain the backend code that will handle the request from the front end. We will use the Next.js framework to create our backend. By having the client and server in the same application, we can simplify the development process.

Connecting to OpenAI

In order to generate AI Prompts, we need to connect to OpenAI's API. We will make use of the backend file we created earlier, "hello.ts", to handle the connection and make the necessary API call. We will specify the endpoint of the OpenAI API and the parameters required for the call. We will pass the user's input as a parameter and include the API key for authorization. Once we receive a response from OpenAI, we will return the result to the front end.

Handling User Input

To handle the user's input, we will use the handleInput function. This function will be triggered whenever the user types in the input box. It will update the value variable with the text entered by the user. We will use the useState hook provided by React to manage the state of the input value. By updating the state, we can ensure that the user's input is accurately captured and processed.

Making Backend Call

Once the user clicks the "Generate" button, we will make a call to our backend using the handleSubmit function. This function will trigger an asynchronous process to fetch the data from the backend. We will pass the user's input as a parameter in the fetch request. The backend will handle the request and connect to OpenAI's API to generate the desired result. Once the response is received, we will update the completion variable with the obtained result.

Displaying the Result

After making the backend call and receiving the result, we will display it on the front end. We will update the completion variable with the result obtained from OpenAI and use the value to display the generated prompt. This way, the user can see the output of their query in real-time. By dynamically updating the displayed result, we provide a seamless user experience.

Clearing the Input Field

To ensure a clean interaction with the application, we will clear the input field after the user submits their query. This will allow them to easily input a new prompt without having to manually delete the previous text. By clearing the input field, we enhance the user's ability to interact with the application and generate multiple prompts effortlessly.

Styling the Application

Although the functionality of the application is in place, we can enhance the overall user experience by adding some styling. In the next video, we will focus on adding CSS styles to make the application visually appealing. We will use CSS properties and classes to customize the layout, colors, and fonts of the application. By adding styling, we ensure that the application looks professional and engaging for the users.

Conclusion

In this video, we discussed the process of building the front end of our AI prompt generator application. We implemented the functionality to handle user input, make a backend call, and display the result on the screen. We also discussed the next steps in the development process, including setting up the backend and connecting to OpenAI. In the next video, we will focus on styling the application to improve the user experience. Stay tuned for more updates!

Highlights

• Building the front end of an AI prompt generator application
• Handling user input and making a backend call
• Displaying the generated prompt in real-time
• Clearing the input field for easy interaction
• Enhancing the application with CSS styling

FAQ

Q: How does the AI prompt generator work? A: The AI prompt generator allows users to input a question or query. The application then connects to OpenAI's API to generate a response based on the input. The generated prompt is displayed to the user in real-time.

Q: Can I customize the styling of the application? A: Yes, the application can be customized using CSS styles. You can modify the layout, colors, and fonts to suit your preferences.

Q: What is the backend responsible for in the application? A: The backend handles the communication with OpenAI's API. It takes the user's input, makes a request to the API, and returns the generated prompt to the front end.

Q: How can I clear the input field after submitting a query? A: The input field is automatically cleared after the user clicks the "Generate" button. This allows for easy input of new prompts without having to manually delete the previous text.

Q: What will be covered in the next video? A: The next video will focus on styling the application to enhance the user experience. CSS styles will be added to customize the layout and appearance of the application.