Do you often find yourself converting text-based requirements or ideas into code? Manually translating text into code can be time-consuming and error-prone. In this tutorial, we will build a Text to Code Generator using Next.js, a popular React framework, to automate the process of generating code from text input.
Prerequisites
Before get started, make sure you have the following:
Node.js and npm installed on your machine.Basic knowledge of JavaScript and React.
Familiarity with Next.js and its project structure.
Setting Up the Project
To start, let's create a new Next.js project and set up the necessary dependencies. Open your terminal and follow these steps:
- Create a new Next.js project:
- Change into the project directory:
- Install additional dependencies:
Integrating Monaco Editornpm install next react react-dom @monaco-editor/reactnpm install @monaco-editor/react
- Open the
package.json
file and update thescripts
section as follows:"scripts": { "dev": "next dev" },
The Monaco Editor is a powerful web-based code editor that we will use for our Text to Code Generator. Let's create a new component called CodeEditor that integrates with Monaco Editor. Open the file components/editor.jsx and add the following code:
import { useEffect } from 'react';
import { Editor } from '@monaco-editor/react';
export default function CodeEditor({ editorRef }) {
useEffect(() => {
if (editorRef.current) {
editorRef.current.focus(); } },
[]);
return (
<Editor
height="40vh"
fontSize="14px"
theme="vs-dark"
defaultLanguage="javascript"
ref={editorRef}
margin="auto"
/> ); }
Creating the User Interface
Now, let's build the user interface for our Text to Code Generator. Open the file pages/index.js and replace the existing code with the following:
import { useRef } from 'react';
import CodeEditor from '../components/editor';
export default function Home() {
const editorRef = useRef(null);
const handleGenerateCodeClick = () => {
const textBoxValue = document.getElementById('textbox1').value;
const selectedLanguage = document.getElementById('language').value;
// Perform actions with textBoxValue and selectedLanguage
alert('Entered Text: ' + textBoxValue);
alert('Selected Language: ' + selectedLanguage);
};
return (
<div className="container">
<h1>Text to Code Generator</h1>
<input type="text" id="textbox1" className="input-animation" placeholder="Enter your text" />
<div>
<select id="language" className="select-animation">
<option value="">Select language</option>
<option value="cpp">C++</option>
<option value="python">Python</option>
<option value="java">Java</option>
<option value="javascript">JavaScript</option>
<option value="php">PHP</option>
</select>
</div>
<button id="generateButton" onClick={handleGenerateCodeClick}>Generate Code</button>
<div className="edit">
<CodeEditor editorRef={editorRef} />
<br></br>
</div>
</div>
);
}
Styling the User Interface:
To add some visual appeal to our Text to Code Generator, we can apply CSS styles. Create a new file called globals.css in the styles directory and add the following styles:
To add some visual appeal to our Text to Code Generator, we can apply CSS styles. Create a new file called globals.css in the styles directory and add the following styles:
/* styles/globals.css */
.container {
max-width: 600px;
margin: 0 auto;
padding: 40px;
text-align: center;
}
.input-animation {
/* Add your animation styles here */
}
.select-animation {
/* Add your animation styles here */
}
.edit {
margin-top: 40px;
}
To run the Text to Code Generator, execute the following command in your terminal:
npm run dev
Open your browser and navigate to http://localhost:3000. You should see the Text to Code Generator with the input elements and the code editor. Enter some text, select a language, and click the "Generate Code" button to see the alerts displaying the entered text and selected language.
Conclusion
now we have successfully built a Text to Code Generator using Next.js and Monaco Editor. This project automates the process of generating code from text input, making it more efficient and reducing the chances of manual errors. You can further enhance this project by integrating code generation logic based on the selected language or by adding additional features to the user interface.
Feel free to explore the complete source code of this project on GitHub. If you have any questions or feedback, please leave a comment below.
Happy coding!
By Worqhat
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