Vue CLI (Command Line Interface)<\/li>\n<\/ul>\nYou can install Node.js and NPM by visiting the official website and following the installation instructions. After installing Node.js, you can install Vue CLI globally by running the following command:<\/p>\n
npm install -g @vue\/cli\n<\/code><\/pre>\nWith these prerequisites in place, we can start building our code editor.<\/p>\n
Setting up the Vue.js project<\/h2>\n
First, we need to scaffold a new Vue.js project. Open your terminal or command prompt and navigate to the directory where you want to create the project. Run the following command to create a new Vue.js project:<\/p>\n
vue create code-editor\n<\/code><\/pre>\nYou will be prompted to choose a preset. For simplicity, we’ll choose the default preset, which includes basic features such as Babel and ESLint. You can customize the preset based on your specific needs.<\/p>\n
Once the project is created, navigate to the project directory:<\/p>\n
cd code-editor\n<\/code><\/pre>\nNow, let’s run the development server to ensure everything is set up correctly:<\/p>\n
npm run serve\n<\/code><\/pre>\nYou should see a message indicating that the development server is running. Open your web browser and visit `http:\/\/localhost:8080` to verify that the Vue.js project is running successfully.<\/p>\n
Creating the CodeEditor component<\/h2>\n
In Vue.js, components are reusable building blocks that make up a user interface. Let’s create a new component called CodeEditor<\/code> that will serve as our code editor.<\/p>\nFirst, create a new file called CodeEditor.vue<\/code> in the src\/components<\/code> directory. This file will contain the code for our CodeEditor<\/code> component. Open the file and add the following code:<\/p>\n<template>\n <div>\n <textarea v-model=\"code\" @input=\"handleInput\"><\/textarea>\n <ul v-if=\"suggestions.length\">\n <li v-for=\"(suggestion, index) in suggestions\" :key=\"index\">{{ suggestion }}<\/li>\n <\/ul>\n <\/div>\n<\/template>\n\n<script>\nexport default {\n data() {\n return {\n code: '',\n suggestions: [],\n };\n },\n methods: {\n async handleInput() {\n \/\/ Call OpenAI Codex API to get code suggestions based on this.code\n \/\/ Update this.suggestions with the response\n },\n },\n};\n<\/script>\n\n<style scoped>\ntextarea {\n width: 100%;\n height: 400px;\n}\n<\/style>\n<\/code><\/pre>\nIn the above code, we have defined a textarea element that binds its value to the code<\/code> data property using v-model<\/code>. We have also defined an unordered list (ul) element that will display the code suggestions.<\/p>\nThe handleInput<\/code> method is called whenever the user types in the textarea. In this method, we will make an API call to OpenAI Codex to get code suggestions based on the user’s input. The suggestions received from the API will be stored in the suggestions<\/code> data property.<\/p>\nIntegrating with OpenAI Codex<\/h2>\n
Now that we have our component ready, let’s integrate it with OpenAI Codex to provide code suggestions in real-time.<\/p>\n
First, make sure you have an OpenAI Codex API key. If you don’t have one, visit the OpenAI website to sign up for access. Once you have the key, create a .env<\/code> file in the root directory of your project and add the following line:<\/p>\nVUE_APP_OPENAI_API_KEY=your-api-key\n<\/code><\/pre>\nThis will make the API key accessible in our Vue.js application.<\/p>\n
Next, let’s install the axios<\/code> library, which we will use to make HTTP requests to the OpenAI Codex API:<\/p>\nnpm install axios\n<\/code><\/pre>\nOnce the installation is complete, open src\/components\/CodeEditor.vue<\/code> and update the handleInput<\/code> method as follows:<\/p>\nimport axios from 'axios';\n\n\/\/ ...\n\nmethods: {\n async handleInput() {\n try {\n const response = await axios.post(\n 'https:\/\/api.openai.com\/v1\/engines\/davinci-codex\/completions',\n {\n prompt: this.code,\n max_tokens: 100,\n n: 5,\n },\n {\n headers: {\n 'Content-Type': 'application\/json',\n 'Authorization': `Bearer ${process.env.VUE_APP_OPENAI_API_KEY}`,\n },\n }\n );\n\n this.suggestions = response.data.choices.map(choice => choice.text);\n } catch (error) {\n console.error(error);\n }\n },\n},\n<\/code><\/pre>\nIn the above code, we are making a POST request to the OpenAI Codex API endpoint with the user’s input as the prompt. We are requesting a maximum of 100 tokens for each completion and asking for 5 suggestions. The Authorization<\/code> header includes the API key stored in the .env<\/code> file.<\/p>\nWhen the API responds, we extract the text from each suggestion and store them in the suggestions<\/code> data property.<\/p>\nUsing the CodeEditor component<\/h2>\n
Now that we have our CodeEditor<\/code> component ready, let’s use it in our main application component.<\/p>\nOpen src\/App.vue<\/code> and update the template to use the CodeEditor<\/code> component:<\/p>\n<template>\n <div id=\"app\">\n <CodeEditor \/>\n <\/div>\n<\/template>\n<\/code><\/pre>\nMake sure to import the CodeEditor<\/code> component at the top of the file:<\/p>\nimport CodeEditor from '.\/components\/CodeEditor.vue';\n<\/code><\/pre>\nTesting the Code Editor<\/h2>\n
Finally, let’s test our code editor by running the development server:<\/p>\n
npm run serve\n<\/code><\/pre>\nVisit `http:\/\/localhost:8080` in your web browser, and you should see the code editor. As you type in the textarea, you will see code suggestions appearing below.<\/p>\n
Congratulations! You have successfully built a code editor with real-time code suggestions using OpenAI Codex and Vue.js.<\/p>\n
Conclusion<\/h2>\n
In this tutorial, we have explored how to build a code editor using OpenAI Codex and Vue.js. We started by setting up a new Vue.js project and creating a CodeEditor<\/code> component. We then integrated with OpenAI Codex to receive real-time code suggestions based on user input.<\/p>\nBy combining the power of OpenAI Codex and Vue.js, we can create even more advanced code editors with features like code completion, linting, and more. The possibilities are endless!<\/p>\n
Feel free to experiment with different ideas and expand upon what we have built. Happy coding!<\/p>\n","protected":false},"excerpt":{"rendered":"
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By Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[1111,810,873,553,773],"yoast_head":"\nHow to Build a Code Editor with OpenAI Codex and Vue.js - Pantherax Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/localhost:10003\/how-to-build-a-code-editor-with-openai-codex-and-vue-js\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Build a Code Editor with OpenAI Codex and Vue.js\" \/>\n<meta property=\"og:description\" content=\"In this tutorial, we will walk through the process of building a code editor using OpenAI Codex and Vue.js. 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