How to use the Layui framework to develop a language learning application that supports instant translation-JS Tutorial-php.cn

How to use the Layui framework to develop a language learning application that supports instant translation

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Release： 2023-10-27 19:42:20

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How to use the Layui framework to develop a language learning application that supports instant translation

Use the Layui framework to develop a language learning application with instant translation

With the continuous development of globalization, learning a foreign language has become a pursuit of more and more people. In order to meet the needs of learners, developing a language learning app that supports instant translation is a good choice. In this article, we will explore how to use the Layui framework to implement the development of this application, and will also give some specific code examples.

Preparation
Before we begin, we need to ensure that Layui has been installed correctly. It can be used by pulling the official layui source code, or directly introducing CDN. In addition, we also need a translation engine API. Here we take Baidu Translation API as an example. You can register an account on the Baidu Translation Open Platform and obtain an API Key.
Building HTML structure
First, we need to introduce Layui’s style sheet and script files into HTML, as shown below:

<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="utf-8">
    <title>语言学习应用</title>
    <link rel="stylesheet" href="layui/css/layui.css">
</head>
<body>
    <!--页面内容-->
    <script src="layui/layui.js"></script>
    <script src="js/main.js"></script>
</body>
</html>

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Realize instant translation function
Next, we will implement the on-the-fly translation function in the JavaScript file. First, create a file named main.js and introduce the relevant components of Layui. The code is as follows:

layui.use(['form', 'layer'], function(){
    var form = layui.form;
    var layer = layui.layer;

    // 监听表单提交事件
    form.on('submit(translate)', function(data){
        var text = data.field.text;

        // 调用翻译接口
        translate(text);

        return false;
    });

    // 调用翻译接口
    function translate(text){
        // 获取接口返回的翻译结果
        // 这里假设翻译接口返回的数据为result
        var result = "Hello";

        // 显示翻译结果
        layer.open({
            title: '翻译结果',
            content: result
        });
    }
});

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Complete the HTML page
Next, we need to Add an input box and a translation button, and bind the corresponding events. The code is as follows:

<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="utf-8">
    <title>语言学习应用</title>
    <link rel="stylesheet" href="layui/css/layui.css">
</head>
<body>
    <div class="layui-container" style="margin-top: 20px;">
        <form class="layui-form" onsubmit="return false;">
            <div class="layui-form-item">
                <div class="layui-input-inline">
                    <input type="text" name="text" placeholder="请输入要翻译的文本" autocomplete="off" class="layui-input">
                </div>
            </div>
            <div class="layui-form-item">
                <div class="layui-input-inline">
                    <button class="layui-btn" lay-submit lay-filter="translate">翻译</button>
                </div>
            </div>
        </form>
    </div>

    <script src="layui/layui.js"></script>
    <script src="js/main.js"></script>
</body>
</html>

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Run the application
At this point, we have completed the relevant code writing. Next, we save the above file to the corresponding directory and open the file in the browser. You will see a language learning application developed based on the Layui framework that supports instant translation.

Summary:
This article is based on the Layui framework and implements a simple instant translation language learning application by calling Baidu Translation API. By studying the sample code in this article, readers can have a deeper understanding of the use of the Layui framework, and can also expand and customize functions according to needs. I hope this article can be helpful to everyone in developing language learning applications.

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