Model: GPT-4
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You are software engineer copilot and you help me write code. Help me write a vue.js 3 app that helps users sound more like a native speaker. I want to use OpenAI gpt-3.5-turbo model. Structure: - It's a one-pager app. - It contains two text areas. One is for the input text named 'Your text', the other is for output named 'Result'. - There is also a button named 'Improve' that takes text from the input, runs through a query and populates output field with a result - The query is: 'Act as a native speaker editor. Take this text and make it sound like a native speaker'

To build a Vue.js 3 app that helps users sound more like a native speaker using OpenAI's GPT-3.5-turbo model, follow these steps:

  1. Install required dependencies
  2. Set up the project
  3. Create the Vue app
  4. Add OpenAI API integration
  5. Add the required components
  6. Style the components

Here's a detailed explanation of each step:

  1. Install required dependencies:

Install the Vue CLI globally, if you haven't already:

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npm install -g @vue/cli

Create a new Vue project:

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vue create native-speaker-editor

Navigate to the project folder:

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cd native-speaker-editor

Install Axios for making API calls:

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npm install axios
  1. Set up the project:

Replace the contents of src/App.vue with the following code:

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<template> <div id="app"> <h1>Native Speaker Editor</h1> <div> <label for="yourText">Your text:</label> <textarea id="yourText" v-model="inputText"></textarea> </div> <button @click="improveText">Improve</button> <div> <label for="result">Result:</label> <textarea id="result" v-model="outputText" readonly></textarea> </div> </div> </template> <script> import axios from "axios"; export default { data() { return { inputText: "", outputText: "", }; }, methods: { async improveText() { // OpenAI API integration will be added here }, }, }; </script> <style> /* Add styling here */ </style>
  1. Add OpenAI API integration:

Replace the improveText method in src/App.vue with the following code:

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async improveText() { const prompt = `Act as a native speaker editor. Take this text and make it sound like a native speaker:\n\n${this.inputText}\n\nEdited text:`; try { const response = await axios.post( "https://api.openai.com/v1/engines/davinci-codex/completions", { prompt, max_tokens: 150, n: 1, stop: null, temperature: 0.7, }, { headers: { "Content-Type": "application/json", "Authorization": `Bearer ${process.env.VUE_APP_OPENAI_API_KEY}`, }, } ); this.outputText = response.data.choices[0].text.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } },

Make sure to add your OpenAI API key to your .env or .env.local file in the root of your project:

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VUE_APP_OPENAI_API_KEY=your_openai_api_key_here
  1. Style the components:

Add the following CSS to the <style> section in src/App.vue:

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body { font-family: Arial, sans-serif; } #app { max-width: 800px; margin: 0 auto; padding: 1em; } textarea { width: 100%; min-height: 200px; margin-bottom: 1em; resize: vertical; padding: 0.5em; font-size: 16px; } button { display: block;
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seems like you didn't finish the code

Apologies for that. Here's the rest of the CSS code to be added to the <style> section in src/App.vue:

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padding: 0.5em 1em; font-size: 16px; cursor: pointer; background-color: #0077ff; color: white; border: none; border-radius: 4px; } button:hover { background-color: #0066cc; } button:active { background-color: #0055aa; } label { font-weight: bold; display: block; margin-bottom: 0.5em; }

Now your Vue.js 3 app should be complete. To run the app, use the following command in the terminal:

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npm run serve

Then open your browser and go to http://localhost:8080/ to see your app in action. Remember to replace your_openai_api_key_here in your .env or .env.local file with your actual OpenAI API key.

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I got this error: 'ReferenceError: process is not defined'

I apologize for the oversight. In Vue.js 3, the environment variables should be accessed differently.

To resolve the 'ReferenceError: process is not defined' error, update the Axios request in the improveText method in src/App.vue as follows:

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async improveText() { const prompt = `Act as a native speaker editor. Take this text and make it sound like a native speaker:\n\n${this.inputText}\n\nEdited text:`; try { const response = await axios.post( "https://api.openai.com/v1/engines/davinci-codex/completions", { prompt, max_tokens: 150, n: 1, stop: null, temperature: 0.7, }, { headers: { "Content-Type": "application/json", "Authorization": `Bearer ${import.meta.env.VUE_APP_OPENAI_API_KEY}`, }, } ); this.outputText = response.data.choices[0].text.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } },

The key change is replacing process.env.VUE_APP_OPENAI_API_KEY with import.meta.env.VUE_APP_OPENAI_API_KEY. This should resolve the error, and you should be able to access your environment variables correctly.

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I got this error, when I tried the app: Request failed with status code 401

The "Request failed with status code 401" error indicates that there is an issue with your OpenAI API key's authentication. Please verify that you have correctly set up the API key in your .env or .env.local file and that it's the right key associated with your OpenAI account.

  1. Double-check that your .env or .env.local file (in the root of your project) contains the correct OpenAI API key:
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VUE_APP_OPENAI_API_KEY=your_openai_api_key_here

Make sure to replace your_openai_api_key_here with your actual OpenAI API key.

  1. Ensure your .env or .env.local file is not being ignored by your version control system (e.g., .gitignore). If it's being ignored, Vue.js might not load the environment variables correctly.

  2. Restart your development server after adding or updating the .env or .env.local file:

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npm run serve

If you have correctly set up the API key and are still encountering the "Request failed with status code 401" error, you may want to verify that your API key is active and has the appropriate permissions. You can do this by logging into your OpenAI account and checking your API keys. If necessary, you can regenerate your API key from the OpenAI dashboard.

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I still got problem with importing OpenAI api key from .env

I apologize for the confusion. Let's try another approach to ensure the environment variable is loaded correctly.

First, make sure your .env or .env.local file in the root of your project contains the OpenAI API key like this:

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VUE_APP_OPENAI_API_KEY=your_openai_api_key_here

Replace your_openai_api_key_here with your actual OpenAI API key.

Next, create a new file named openai.js in the src folder of your project with the following content:

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import axios from "axios"; const openai = axios.create({ baseURL: "https://api.openai.com/v1/engines/davinci-codex/completions", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${import.meta.env.VUE_APP_OPENAI_API_KEY}`, }, }); export default openai;

Now, in src/App.vue, import the openai.js module and use it in the improveText method:

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import openai from "./openai"; export default { // ... methods: { async improveText() { const prompt = `Act as a native speaker editor. Take this text and make it sound like a native speaker:\n\n${this.inputText}\n\nEdited text:`; try { const response = await openai.post("", { prompt, max_tokens: 150, n: 1, stop: null, temperature: 0.7, }); this.outputText = response.data.choices[0].text.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } }, }, // ... };

After making these changes, restart your development server:

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npm run serve

This should resolve the issue with loading the OpenAI API key from your .env or .env.local file. If the problem persists, please double-check your API key and ensure it is correct and active.

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I managed to import .env variable. Now I have a different problem: 'Request failed with status code 404''

I apologize for the confusion earlier. The "Request failed with status code 404" error is likely due to an incorrect URL in the Axios request. You should use the GPT-3.5-turbo model as mentioned in your initial question. Please update the baseURL in the openai.js file as follows:

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const openai = axios.create({ baseURL: "https://api.openai.com/v1/engines/gpt-3.5-turbo/completions", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${import.meta.env.VUE_APP_OPENAI_API_KEY}`, }, });

This change updates the URL to use the GPT-3.5-turbo model instead of the davinci-codex model.

After making this change, restart your development server:

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npm run serve

Now, the application should work as expected. If you still encounter any issues, please double-check your API key and ensure it is correct and active.

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I want to use new chats api for this

To use the new OpenAI Chats API with the GPT-3.5-turbo model, follow these steps:

  1. Update the openai.js file.
  2. Modify the improveText method in src/App.vue.

Here's a detailed explanation of each step:

  1. Update the openai.js file:

Replace the contents of the openai.js file in the src folder of your project with the following code:

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import axios from "axios"; const openai = axios.create({ baseURL: "https://api.openai.com/v1/engines/gpt-3.5-turbo/chats", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${import.meta.env.VUE_APP_OPENAI_API_KEY}`, }, }); export default openai;

This change updates the URL to use the Chats API for the GPT-3.5-turbo model.

  1. Modify the improveText method in src/App.vue:

Replace the improveText method in src/App.vue with the following code:

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async improveText() { const messages = [ { role: "system", content: "You are a helpful assistant that translates user's text to sound like a native speaker." }, { role: "user", content: this.inputText }, ]; try { const response = await openai.post("", { messages, }); const assistantMessage = response.data.choices[0].message.content; this.outputText = assistantMessage.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } },

This change modifies the improveText method to work with the Chats API format, using a series of messages as input instead of a prompt.

After making these changes, restart your development server:

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npm run serve

Now, your application should work with the new OpenAI Chats API using the GPT-3.5-turbo model.

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Use tailwind css and make the page look like google translate

To use Tailwind CSS and style the page like Google Translate, follow these steps:

  1. Install Tailwind CSS.
  2. Configure Tailwind CSS.
  3. Update the src/App.vue file to use the new styling.

Here's a detailed explanation of each step:

  1. Install Tailwind CSS:

Install Tailwind CSS and its dependencies:

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npm install -D tailwindcss@latest postcss@latest autoprefixer@latest
  1. Configure Tailwind CSS:

Create a configuration file for Tailwind CSS in your project's root directory:

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npx tailwindcss init

This will generate a tailwind.config.js file in your project's root directory. You can leave it with the default configuration.

In your project's src folder, create a new file named index.css and add the following content:

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@import "tailwindcss/base"; @import "tailwindcss/components"; @import "tailwindcss/utilities";

Next, open the src/main.js file and import the index.css file:

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import { createApp } from "vue"; import App from "./App.vue"; import "./index.css"; createApp(App).mount("#app");
  1. Update the src/App.vue file to use the new styling:

Replace the contents of the src/App.vue file with the following code:

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<template> <div class="min-h-screen bg-gray-100 flex items-center justify-center"> <div class="bg-white p-8 rounded-lg shadow-md w-full max-w-lg"> <h1 class="text-3xl font-semibold mb-6">Native Speaker Editor</h1> <div class="mb-4"> <label for="yourText" class="block text-gray-700 mb-2">Your text:</label> <textarea id="yourText" v-model="inputText" class="resize-none w-full h-32 p-2 border rounded-md"></textarea> </div> <button @click="improveText" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4">Improve</button> <div> <label for="result" class="block text-gray-700 mb-2">Result:</label> <textarea id="result" v-model="outputText" readonly class="resize-none w-full h-32 p-2 border rounded-md bg-gray-100"></textarea> </div> </div> </div> </template> <script> import openai from "./openai"; export default { data() { return { inputText: "", outputText: "", }; }, methods: { async improveText() { const messages = [ { role: "system", content: "You are a helpful assistant that translates user's text to sound like a native speaker." }, { role: "user", content: this.inputText }, ]; try { const response = await openai.post("", { messages, }); const assistantMessage = response.data.choices[0].message.content; this.outputText = assistantMessage.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } }, }, }; </script>

Now, your Vue.js 3 app should be styled using Tailwind CSS, and the page should resemble Google Translate. To see your updated app in action, run:

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npm run serve
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it seems like tailwind styles are not applied to my project

Apologies for the confusion. It appears that Vue.js 3 might not be loading the styles correctly. To resolve this issue, please follow these steps:

  1. Install the @vue/cli-plugin-postcss package:
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npm install -D @vue/cli-plugin-postcss
  1. Create a postcss.config.js file in your project's root directory with the following content:
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module.exports = { plugins: { tailwindcss: {}, autoprefixer: {}, }, };
  1. In your src/index.css file, ensure that you're using the correct syntax for importing Tailwind CSS:
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@import 'tailwindcss/base'; @import 'tailwindcss/components'; @import 'tailwindcss/utilities';
  1. In your src/main.js file, ensure that you've imported the index.css file:
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import { createApp } from 'vue'; import App from './App.vue'; import './index.css'; createApp(App).mount('#app');
  1. Restart your development server:
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npm run serve

Now, the Tailwind CSS styles should be applied to your project. If you still encounter issues, please ensure that the correct dependencies are installed and your project's configurations are properly set up.

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'@vue/cli-plugin-postcss@*' is not in this registry.

I apologize for the confusion. You are correct that there is no '@vue/cli-plugin-postcss' package available in the npm registry. The issue might not be related to the PostCSS configuration. Let's try another approach.

  1. In your public folder, create a new file named tailwind.css and add the following content:
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@import 'tailwindcss/base'; @import 'tailwindcss/components'; @import 'tailwindcss/utilities';
  1. In your public/index.html file, add a link to the tailwind.css file in the <head> section:
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<!DOCTYPE html> <html lang="en"> <head> <!-- ... --> <link rel="stylesheet" href="/tailwind.css" /> </head> <!-- ... --> </html>
  1. In your package.json file, add a new script to build Tailwind CSS:
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{ "scripts": { "build:tailwind": "tailwindcss build public/tailwind.css -o public/tailwind.output.css" }, // ... }
  1. Install the required dependencies:
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npm install -D tailwindcss@latest postcss@latest autoprefixer@latest
  1. Generate your Tailwind CSS file by running:
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npm run build:tailwind
  1. Restart your development server:
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npm run serve

Now, the Tailwind CSS styles should be applied to your project. If you still encounter issues, please ensure that the correct dependencies are installed and your project's configurations are properly set up.

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Add three radio buttons below the 'Your text' input textarea. These radio buttons will serve as a switch for prompts for different contexts. When a particular radio button is selected a different prompt will be applied to the text from input textarea and inserted in output text area. Here is the list of radio buttons and corresponding prompts: """ Radio button 1: Correct Prompt 1: I want you to act as a spelling corrector and grammar improver. I will send you a word, sentence, or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations. Radio button 2: Teammate Prompt 2: I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a message to my teammate in a messaging app or email. I want to sound like a native speaker but keep it simple, natural, and conversational. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations. Radio button 3: Blog Prompt 3: I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a blog post for Substack or an article for Medium. I want to sound more like a native speaker but keep it simple and avoid words and phrases that may sound too pretentious. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations. """

To add the radio buttons and corresponding prompts, update the src/App.vue file.

  1. Add the radio buttons below the 'Your text' input textarea in the <template> section:
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<!-- Add this below the 'Your text' input textarea --> <div class="mb-4"> <div class="flex items-center mb-2"> <input type="radio" id="correct" value="correct" v-model="selectedPrompt" class="mr-2"> <label for="correct" class="text-gray-700">Correct</label> </div> <div class="flex items-center mb-2"> <input type="radio" id="teammate" value="teammate" v-model="selectedPrompt" class="mr-2"> <label for="teammate" class="text-gray-700">Teammate</label> </div> <div class="flex items-center"> <input type="radio" id="blog" value="blog" v-model="selectedPrompt" class="mr-2"> <label for="blog" class="text-gray-700">Blog</label> </div> </div>
  1. Update the data() function to include the selectedPrompt variable:
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data() { return { inputText: "", outputText: "", selectedPrompt: "correct", // Add this line }; },
  1. Update the improveText() method to use the selected prompt:
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async improveText() { const prompts = { correct: "I want you to act as a spelling corrector and grammar improver. I will send you a word, sentence, or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", teammate: "I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a message to my teammate in a messaging app or email. I want to sound like a native speaker but keep it simple, natural, and conversational. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", blog: "I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a blog post for Substack or an article for Medium. I want to sound more like a native speaker but keep it simple and avoid words and phrases that may sound too pretentious. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", }; const messages = [ { role: "system", content: prompts[this.selectedPrompt] }, { role: "user", content: this.inputText }, ]; try { const response = await openai.post("", { messages, }); const assistantMessage = response.data.choices[0].message.content; this.outputText = assistantMessage.trim(); } catch (error) { console.error(error); this.outputText = "Error: Unable to fetch results"; } },

Now, when you select a radio button, the corresponding prompt will be applied to the text from the input textarea and inserted into the output textarea.

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I got this warning: 'operty "selectedPrompt" was accessed during render but is not defined on instance. '

Apologies for the oversight. It seems the warning is caused by a typo in the data() function. Please ensure that the selectedPrompt variable is defined correctly.

Here's the corrected data() function:

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data() { return { inputText: "", outputText: "", selectedPrompt: "correct", // Make sure this line is correct }; },

If you still encounter the warning, please double-check your code in the src/App.vue file to ensure that all variables and methods are defined correctly.

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Place the radio buttons inline

To place the radio buttons inline, you can simply update the radio buttons container in the <template> section of your src/App.vue file to use flexbox:

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<!-- Add this below the 'Your text' input textarea --> <div class="mb-4 flex"> <div class="flex items-center mr-4"> <input type="radio" id="correct" value="correct" v-model="selectedPrompt" class="mr-2"> <label for="correct" class="text-gray-700">Correct</label> </div> <div class="flex items-center mr-4"> <input type="radio" id="teammate" value="teammate" v-model="selectedPrompt" class="mr-2"> <label for="teammate" class="text-gray-700">Teammate</label> </div> <div class="flex items-center"> <input type="radio" id="blog" value="blog" v-model="selectedPrompt" class="mr-2"> <label for="blog" class="text-gray-700">Blog</label> </div> </div>

By adding the flex class to the radio buttons container and using the mr-4 class for the right margin on each radio button group except the last one, the radio buttons will be displayed inline.

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Can you add loader to 'Improve' button to indicate when the response is in progress?

Sure! To add a loader to the "Improve" button, you can follow these steps:

  1. Update the data() function to include a loading variable:
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data() { return { inputText: "", outputText: "", selectedPrompt: "correct", loading: false, // Add this line }; },
  1. Update the improveText() method to set the loading variable to true when the request starts and back to false when it's finished:
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async improveText() { // ... this.loading = true; // Add this line try { // ... } catch (error) { // ... } finally { this.loading = false; // Add this line } },
  1. Modify the "Improve" button in the <template> section to include the loader:
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<button @click="improveText" :disabled="loading" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 relative"> <span v-if="!loading">Improve</span> <span v-else class="absolute left-1/2 top-1/2 transform -translate-x-1/2 -translate-y-1/2"> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>

The :disabled="loading" attribute disables the button while the request is in progress. The loader is shown using an inline SVG with a spinning animation, which is displayed only when the loading variable is set to true.

Now, when you click on the "Improve" button, a loader will appear, indicating that the response is in progress.

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Awesome! But when the button is in loading state it is squeezed a bit, so that there are no vertical paddings. How to solve this?

My apologies for the oversight. To prevent the button from being squeezed when in the loading state, you can adjust the button's styles by adding the inline-flex class and a fixed height to the button. Here's the updated "Improve" button in the <template> section:

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<button @click="improveText" :disabled="loading" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12"> <span v-if="!loading">Improve</span> <span v-else> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>

By using inline-flex, items-center, and justify-center, we ensure that the button's content is vertically and horizontally centered. Setting a fixed height (h-12) ensures that the button maintains its height regardless of the content.

Now, the "Improve" button should maintain its height and padding even when in the loading state.

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The button is still not disabled while loading

I apologize for the confusion earlier. It appears that the :disabled attribute is not being applied correctly. Let's try a different approach to disable the button while loading.

  1. Update the "Improve" button in the <template> section to include the pointer-events-none class when the loading variable is set to true:
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<button @click="improveText" :class="{ 'pointer-events-none': loading }" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12" > <span v-if="!loading">Improve</span> <span v-else> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>

Now, the "Improve" button should be disabled while loading, preventing any further clicks until the request is complete.

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What you've suggested didn't help. But I found the solution myself. So to give you context here it is: I added code line to tailwind.config.js: variants: { backgroundColor: ['responsive', 'hover', 'focus', 'active', 'disabled'], textColor: ['responsive', 'hover', 'focus', 'active', 'disabled'], }, And added this class to button: disabled:opacity-50

I apologize for my previous suggestion not being effective, and I'm glad you found a solution yourself. Your approach is indeed a better way to handle the disabled state for the button using Tailwind CSS. By adding the disabled variant in the tailwind.config.js file and the disabled:opacity-50 class to the button, you're able to visually indicate the disabled state.

Here's the updated "Improve" button with your solution:

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<button @click="improveText" :disabled="loading" :class="{ 'disabled:opacity-50': loading }" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12" > <span v-if="!loading">Improve</span> <span v-else> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>

Now, the "Improve" button should be correctly disabled while loading, and its opacity will be reduced to visually indicate the disabled state.

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Add the following: keep the 'Improve' button disabled when the input textarea is empty. When it has at least one symbol, make the 'Improve' button active.

To disable the "Improve" button when the input textarea is empty, you can use the computed property to create a new property that checks if the input textarea is empty or not. Here's how you can do that:

  1. Add a new computed property to your Vue component:
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computed: { isInputEmpty() { return this.inputText.trim().length === 0; }, },
  1. Update the "Improve" button in the <template> section to include the isInputEmpty check along with the loading state:
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<button @click="improveText" :disabled="loading || isInputEmpty" :class="{ 'disabled:opacity-50': loading || isInputEmpty }" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12" > <span v-if="!loading">Improve</span> <span v-else> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>

Now, the "Improve" button will be disabled when the input textarea is empty or when the request is in progress. Once the input textarea contains at least one symbol, the "Improve" button will become active.

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Change radio buttons to tab pills

To change the radio buttons to tab pills, you can use the Tailwind CSS classes to style them accordingly. Here's how you can update your existing radio buttons to tab pills:

  1. Replace the existing radio buttons in the <template> section with the following tab pills:
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<div class="w-full flex mb-4"> <button @click="selectedPrompt = 'correct'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'correct', 'bg-gray-200 text-gray-800': selectedPrompt !== 'correct' }" class="px-4 py-2 rounded-l-md" > Correct </button> <button @click="selectedPrompt = 'teammate'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'teammate', 'bg-gray-200 text-gray-800': selectedPrompt !== 'teammate' }" class="px-4 py-2 border-l border-r" > Teammate </button> <button @click="selectedPrompt = 'blog'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'blog', 'bg-gray-200 text-gray-800': selectedPrompt !== 'blog' }" class="px-4 py-2 rounded-r-md" > Blog </button> </div>

This code creates a set of tab pills with the same functionality as the previous radio buttons. The selected tab pill will have a blue background with white text, while the unselected ones will have a gray background with gray text.

  1. Remove the existing radio buttons and their surrounding elements (if any) from the <template> section.

Now, your radio buttons should be replaced with tab pills that provide the same functionality but with a different appearance.

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Awesome! I need to tweak the design a bit of tab pills. Make the tabs that are not selected without background, and the selected tab background grey. Also make the container with tab pills full width related to parent container.

To modify the design of the tab pills according to your request, you can update the Tailwind CSS classes as follows:

  1. Replace the existing tab pills in the <template> section with the following updated tab pills:
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<div class="w-full flex mb-4"> <button @click="selectedPrompt = 'correct'" :class="{ 'bg-gray-300 text-gray-800': selectedPrompt === 'correct', 'text-gray-800': selectedPrompt !== 'correct' }" class="flex-1 px-4 py-2 rounded-l-md" > Correct </button> <button @click="selectedPrompt = 'teammate'" :class="{ 'bg-gray-300 text-gray-800': selectedPrompt === 'teammate', 'text-gray-800': selectedPrompt !== 'teammate' }" class="flex-1 px-4 py-2 border-l border-r" > Teammate </button> <button @click="selectedPrompt = 'blog'" :class="{ 'bg-gray-300 text-gray-800': selectedPrompt === 'blog', 'text-gray-800': selectedPrompt !== 'blog' }" class="flex-1 px-4 py-2 rounded-r-md" > Blog </button> </div>

These changes will apply the following styles to the tab pills:

  • The selected tab will have a gray background and gray text.
  • The unselected tabs will have no background, only gray text.
  • The tab pills container will be full width relative to the parent container by using the flex-1 class.

Now, the tab pills should have the updated appearance as requested.

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Let's revert to the previous style of tab pills

Sure! To revert to the previous style of tab pills, you can replace the updated tab pills with the original version. Here's the original version of the tab pills:

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<div class="w-full flex mb-4"> <button @click="selectedPrompt = 'correct'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'correct', 'bg-gray-200 text-gray-800': selectedPrompt !== 'correct' }" class="px-4 py-2 rounded-l-md" > Correct </button> <button @click="selectedPrompt = 'teammate'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'teammate', 'bg-gray-200 text-gray-800': selectedPrompt !== 'teammate' }" class="px-4 py-2 border-l border-r" > Teammate </button> <button @click="selectedPrompt = 'blog'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'blog', 'bg-gray-200 text-gray-800': selectedPrompt !== 'blog' }" class="px-4 py-2 rounded-r-md" > Blog </button> </div>

After replacing the updated tab pills with the original version, the tab pills will have the previous appearance:

  • The selected tab will have a blue background with white text.
  • The unselected tabs will have a gray background with gray text.
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Let's rearrange the structure of the page a bit: 1. Place the tab pills below the header of the page and above the text areas. 2. Then place input and output text areas next to each other, one on the left, the other on the right. 3. Place the improve button below the text areas. 4. Make the main container wider so it fits the full screen of a desktop

To rearrange the structure of the page as requested, update the <template> section with the following layout:

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<template> <div class="min-h-screen bg-gray-100"> <header class="bg-white shadow"> <div class="max-w-7xl mx-auto py-6 px-4 sm:px-6 lg:px-8"> <h1 class="text-3xl font-bold leading-tight text-gray-900">Vue.js 3 Text Improvement App</h1> </div> </header> <div class="container mx-auto px-4"> <div class="w-full mt-8"> <div class="w-full flex mb-4"> <!-- Tab pills --> <!-- ... --> </div> <div class="w-full flex"> <div class="w-1/2"> <label for="inputText" class="block mb-2">Your text:</label> <textarea id="inputText" v-model="inputText" class="w-full h-64 p-2 border"></textarea> </div> <div class="w-1/2 ml-4"> <label for="outputText" class="block mb-2">Result:</label> <textarea id="outputText" v-model="outputText" class="w-full h-64 p-2 border" readonly></textarea> </div> </div> <div class="w-full mt-4"> <button @click="improveText" :disabled="loading || isInputEmpty" :class="{ 'disabled:opacity-50': loading || isInputEmpty }" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12" > <!-- Improve button content --> <!-- ... --> </button> </div> </div> </div> </div> </template>

Here's what the changes do:

  1. Move the tab pills to the top, below the header and above the text areas.
  2. Place the input and output text areas next to each other using the flex container and w-1/2 class.
  3. Move the "Improve" button below the text areas, and make it full-width using the w-full class.
  4. Make the main container wider by using the container mx-auto px-4 classes, so it fits the full screen of a desktop.

Now, your page should have the updated layout as requested.

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Add the following a label above the tab pills: 'I want to write:' and center the label and tab pills related to main container

To add the label above the tab pills and center it along with the tab pills, you can modify the <template> section as follows:

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<template> <div class="min-h-screen bg-gray-100"> <!-- ... --> <div class="container mx-auto px-4"> <div class="w-full mt-8"> <div class="text-center mb-4"> <label for="inputText" class="block">I want to write:</label> </div> <div class="w-full flex justify-center mb-4"> <!-- Tab pills --> <!-- ... --> </div> <!-- ... --> </div> </div> </div> </template>

Here are the changes:

  1. Add a new div with a text-center class above the tab pills to center the label.
  2. Add the label "I want to write:" inside the new div.
  3. Add the justify-center class to the existing flex container that contains the tab pills to center them within the main container.

Now, the label and tab pills should be centered within the main container.

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Add a button inside the input text area in the top right corner. The button shouldn't containt text, only 'x' icon. When you click this button the input text and output text should be cleared.

To add a button with an 'x' icon inside the input text area and clear the text areas when clicked, follow these steps:

  1. Wrap the input text area and button in a relative div:
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<div class="relative"> <!-- input text area and clear button go here --> </div>
  1. Add the button with the 'x' icon inside the div:
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<button @click="clearText" class="absolute top-2 right-2 bg-white text-gray-500 rounded-full w-6 h-6 flex items-center justify-center" > &times; </button>
  1. Add the clearText method to the Vue.js instance:
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methods: { // ... clearText() { this.inputText = ""; this.outputText = ""; }, },

Here's the updated <template> section:

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<template> <!-- ... --> <div class="container mx-auto px-4"> <div class="w-full mt-8"> <!-- ... --> <div class="w-full flex"> <div class="w-1/2"> <label for="inputText" class="block mb-2">Your text:</label> <div class="relative"> <textarea id="inputText" v-model="inputText" class="w-full h-64 p-2 border"></textarea> <button @click="clearText" class="absolute top-2 right-2 bg-white text-gray-500 rounded-full w-6 h-6 flex items-center justify-center" > &times; </button> </div> </div> <div class="w-1/2 ml-4"> <!-- ... --> </div> </div> <!-- ... --> </div> </div> </template>

Now, there should be an 'x' button in the top right corner of the input text area. When clicked, it will clear both the input and output text areas.

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Make the 'x' button visible only when there is text in input text area.

To make the 'x' button visible only when there is text in the input text area, you can add a v-show directive to the button. The v-show directive will conditionally display the button based on the value of the inputText property.

Update the button with the v-show directive:

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<button @click="clearText" v-show="inputText.length > 0" class="absolute top-2 right-2 bg-white text-gray-500 rounded-full w-6 h-6 flex items-center justify-center" > &times; </button>

Now, the 'x' button will only be visible when there is text in the input text area.

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Remove the labels from input and output text areas. Instead add placeholders: - For input text area - 'Enter text' - For output text area - 'Result'

To remove the labels and add placeholders to the input and output text areas, simply remove the <label> elements and add the placeholder attribute to the <textarea> elements:

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<template> <!-- ... --> <div class="container mx-auto px-4"> <div class="w-full mt-8"> <!-- ... --> <div class="w-full flex"> <div class="w-1/2"> <div class="relative"> <textarea id="inputText" v-model="inputText" class="w-full h-64 p-2 border" placeholder="Enter text" ></textarea> <!-- ... --> </div> </div> <div class="w-1/2 ml-4"> <textarea id="outputText" v-model="outputText" class="w-full h-64 p-2 border" placeholder="Result" readonly ></textarea> </div> </div> <!-- ... --> </div> </div> </template>

Now, the labels are removed, and the input and output text areas have the placeholders "Enter text" and "Result" respectively.

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I want the text user enters into the input text area to expand the height of the input and output text areas. Don't use vue-textarea-autosize or vue3-textarea-autosize

To make the input and output text areas expand their height based on the content without using a Vue.js plugin, you can use plain JavaScript and listen for the input event on the input text area. Here's how to do it:

  1. Add a ref attribute to both text areas:
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<textarea ref="inputTextArea" id="inputText" v-model="inputText" class="w-full p-2 border resize-none" placeholder="Enter text" @input="adjustTextAreaHeight" ></textarea> <textarea ref="outputTextArea" id="outputText" v-model="outputText" class="w-full p-2 border resize-none" placeholder="Result" readonly ></textarea>
  1. Add the adjustTextAreaHeight method to the Vue.js instance:
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methods: { // ... adjustTextAreaHeight() { this.$nextTick(() => { this.$refs.inputTextArea.style.height = "auto"; this.$refs.inputTextArea.style.height = this.$refs.inputTextArea.scrollHeight + "px"; this.$refs.outputTextArea.style.height = "auto"; this.$refs.outputTextArea.style.height = this.$refs.outputTextArea.scrollHeight + "px"; }); }, },
  1. Add the resize-none class to both text areas to disable manual resizing.

Now, the input and output text areas will expand their height based on the content entered by the user. The adjustTextAreaHeight method will be called on each input event, and it will adjust the height of both text areas accordingly.

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Make the default height of the input and output text areas bigger. Account for when the text of input text area is cleared by 'x' button, the height of the input and output text area should return to default.

To make the default height of the input and output text areas bigger, you can modify the h-64 class to a larger value or define a custom height using the min-h-[size] utility class. For example, you can change h-64 to min-h-[300px] for a minimum height of 300px.

To adjust the height of the input and output text areas when the text is cleared by the 'x' button, call the adjustTextAreaHeight method inside the clearText method.

Here's the updated code:

  1. Modify the text area height in the <template>:
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<textarea ref="inputTextArea" id="inputText" v-model="inputText" class="w-full p-2 border resize-none min-h-[300px]" placeholder="Enter text" @input="adjustTextAreaHeight" ></textarea> <textarea ref="outputTextArea" id="outputText" v-model="outputText" class="w-full p-2 border resize-none min-h-[300px]" placeholder="Result" readonly ></textarea>
  1. Call adjustTextAreaHeight inside the clearText method in the <script> section:
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methods: { // ... clearText() { this.inputText = ""; this.outputText = ""; this.adjustTextAreaHeight(); }, },

Now, the input and output text areas will have a larger default height, and their height will return to the default size when the text is cleared by the 'x' button.

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it worked. But I made a small adjustment to adjustTextAreaHeight() method, so that output text area height is equal to input text area height. this.$refs.outputTextArea.style.height = this.$refs.inputTextArea.scrollHeight + "px"; But let's take it a step further. After the response is generated to output text area, I want to compare the heights of both text areas and set it to highest.

To compare the heights of both text areas and set them to the highest height after the response is generated, you can modify the improveText method to call a new method syncTextAreaHeights after the response is received. This new method will compare the heights of both text areas and adjust them accordingly.

Here's the updated code:

  1. Add the syncTextAreaHeights method to the Vue.js instance:
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methods: { // ... syncTextAreaHeights() { this.$nextTick(() => { const inputHeight = this.$refs.inputTextArea.scrollHeight; const outputHeight = this.$refs.outputTextArea.scrollHeight; const maxHeight = Math.max(inputHeight, outputHeight); this.$refs.inputTextArea.style.height = maxHeight + "px"; this.$refs.outputTextArea.style.height = maxHeight + "px"; }); }, },
  1. Modify the improveText method to call syncTextAreaHeights after receiving the response:
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async improveText() { this.loading = true; try { const response = await this.sendRequestToOpenAI(this.inputText, this.selectedPrompt); this.outputText = response.choices[0].message.content; } catch (error) { console.error("Error:", error); this.outputText = "An error occurred. Please try again later."; } finally { this.loading = false; this.syncTextAreaHeights(); // Call the syncTextAreaHeights method here } },

Now, after the response is generated to the output text area, the syncTextAreaHeights method will compare the heights of both text areas and set them to the highest height.

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Also make the input and output fields sync on window resize

To sync the input and output text area heights on window resize, you can add an event listener for the resize event and call the syncTextAreaHeights method when the event is triggered. You should also remove the event listener when the component is destroyed.

Update the Vue.js instance with the following changes:

  1. Add a mounted and beforeUnmount lifecycle hook:
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export default { // ... mounted() { window.addEventListener("resize", this.syncTextAreaHeights); }, beforeUnmount() { window.removeEventListener("resize", this.syncTextAreaHeights); }, // ... };

Now, the input and output text areas will sync their heights when the window is resized. The event listener will be removed when the component is destroyed to avoid memory leaks.

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Make a character limit counter for the input text area. 1. Place it under the input text area. 2. The character limit is 1500 symbols. 3. The format should be 'N/1500' where N is the number of symbols in input text area. 4. User can add text of any size just show them the number of symbols, don't block the input. 5. Make 'Improve' button disabled when the limit is reached. 6. Add 'Text exceeds 1500 character limit' to output text area.

To implement a character limit counter, follow these steps:

  1. Add a <p> element under the input text area to display the character count.
  2. Create a computed property to format the character count.
  3. Update the clearText method to set the output text when the character limit is reached.
  4. Use the :disabled attribute to disable the 'Improve' button when the limit is reached.

Here's the updated code:

  1. Add a <p> element under the input text area:
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<div class="w-1/2"> <div class="relative"> <textarea ref="inputTextArea" id="inputText" v-model="inputText" class="w-full p-2 border resize-none min-h-[300px]" placeholder="Enter text" @input="adjustTextAreaHeight" ></textarea> <!-- ... --> </div> <p class="mt-2 text-right text-gray-600">{{ formattedCharacterCount }}</p> </div>
  1. Create a computed property to format the character count:
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computed: { formattedCharacterCount() { return `${this.inputText.length}/1500`; }, },
  1. Update the clearText method:
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clearText() { this.inputText = ""; this.outputText = ""; this.adjustTextAreaHeight(); },
  1. Update the 'Improve' button with the :disabled attribute:
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<button @click="improveText" :disabled="loading || inputText.length === 0 || inputText.length > 1500" class="w-full mt-4 bg-blue-500 text-white py-2 px-4 rounded disabled:opacity-50" :class="{ 'opacity-50': loading }" > <span v-if="loading" class="animate-spin">&#9203;</span> <span v-else>Improve</span> </button>
  1. Update the improveText method to set the output text when the character limit is reached:
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async improveText() { if (this.inputText.length > 1500) { this.outputText = "Text exceeds 1500 character limit"; return; } this.loading = true; try { const response = await this.sendRequestToOpenAI(this.inputText, this.selectedPrompt); this.outputText = response.choices[0].message.content; } catch (error) { console.error("Error:", error); this.outputText = "An error occurred. Please try again later."; } finally { this.loading = false; this.syncTextAreaHeights(); } },

Now, the character limit counter is displayed under the input text area, and the 'Improve' button is disabled when the character limit is reached. The output text area will display "Text exceeds 1500 character limit" if the input text is too long.

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Thanks, here are some things to consider: You changed the improve text button a bit, so I edited it to fulfill needed requirements. Here is the code: <span>Improve</span> <span> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none"> </svg> </span> Also, change the logic of adding the "Text exceeds 1500 character limit" text to output text area. Do it immediately when the 1500 character limit is reached.

I apologize for the confusion. You can use a watcher to check for the character limit and update the output text area immediately when the 1500 character limit is reached.

  1. Remove the character limit check in the improveText method since we'll handle it with the watcher:
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async improveText() { this.loading = true; try { const response = await this.sendRequestToOpenAI(this.inputText, this.selectedPrompt); this.outputText = response.choices[0].message.content; } catch (error) { console.error("Error:", error); this.outputText = "An error occurred. Please try again later."; } finally { this.loading = false; this.syncTextAreaHeights(); } },
  1. Add a watcher for the inputText property:
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watch: { inputText(newValue) { if (newValue.length > 1500) { this.outputText = "Text exceeds 1500 character limit"; } }, },

Now, when the 1500 character limit is reached, the output text area will be updated immediately with the "Text exceeds 1500 character limit" message.

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Also, make improve button active when I clear the input text area by clicking 'x' button which calls clearText() method.

You can update the clearText method to reset the output text area to its default state when clearing the input text area.

Here's the updated clearText method:

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clearText() { this.inputText = ""; this.outputText = ""; this.adjustTextAreaHeight(); },

Now, when you clear the input text area by clicking the 'x' button, the 'Improve' button will be active if there is at least one symbol in the input text area, and it will be disabled when the input text area is empty.

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Let's change 'Improve' button a bit. First of all remove the padding between input and output text areas. Make improve button a circle and instead 'Improve' text add a chevron right icon. Then place the changed Improve button between input and output text areas, but it should be on top of both text areas. Possibly add it to the 'relative' container of input text area.

To change the 'Improve' button according to your requirements, follow these steps:

  1. Remove padding between the input and output text areas.
  2. Change the 'Improve' button to a circle and add a chevron right icon.
  3. Position the 'Improve' button between the input and output text areas by placing it inside the 'relative' container of the input text area.

Here's the updated code:

  1. Remove padding between the input and output text areas by updating the class attribute of the parent <div>:
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<div class="flex w-full"> <!-- ... --> </div>
  1. Update the 'Improve' button to be a circle and use a chevron right icon:
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<button @click="improveText" :disabled="loading || inputText.length === 0 || inputText.length > 1500" :class="{ 'disabled:opacity-50': loading || inputText.length === 0 || inputText.length > 1500 }" class="absolute top-1/2 left-full transform -translate-y-1/2 -translate-x-1/2 w-12 h-12 bg-blue-600 text-white rounded-full flex items-center justify-center" > <span v-if="!loading"> <svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5" viewBox="0 0 20 20" fill="currentColor"> <path fill-rule="evenodd" d="M12.707 10l-5-5a1 1 0 00-1.414 1.414L9.586 10l-3.293 3.293a1 1 0 101.414 1.414l5-5a1 1 0 000-1.414z" clip-rule="evenodd"/> </svg> </span> <span v-else> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path> </svg> </span> </button>
  1. Position the 'Improve' button by placing it inside the 'relative' container of the input text area:
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<div class="w-1/2"> <div class="relative"> <textarea ref="inputTextArea" id="inputText" v-model="inputText" class="w-full p-2 border resize-none min-h-[300px]" placeholder="Enter text" @input="adjustTextAreaHeight" ></textarea> <!-- ... --> <!-- Add the 'Improve' button here --> </div> <!-- ... --> </div>

Now, the 'Improve' button is a circle with a chevron right icon, and it is positioned between the input and output text areas on top of both text areas.

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Awesome! I want to add some improvements to the structure. 3. Make the position of 'Improve' button as is (1/2 height of the container) but relative in pixels to the top of the container.

To position the 'Improve' button at a fixed distance from the top of the container, you can use the top property in the class attribute.

Update the 'Improve' button class as follows:

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<button @click="improveText" :disabled="loading || inputText.length === 0 || inputText.length > 1500" :class="{ 'disabled:opacity-50': loading || inputText.length === 0 || inputText.length > 1500 }" class="absolute top-24 left-full transform -translate-x-1/2 w-12 h-12 bg-blue-600 text-white rounded-full flex items-center justify-center" > <!-- ... --> </button>

Here, I replaced top-1/2 with top-24 (24 is an arbitrary value; adjust it as needed). This positions the 'Improve' button at a fixed distance (in pixels) from the top of the container.

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Add a button at the top of the page that let's users use their openai api for the app. Details of implementation: 1. Add button at the top of the page named 'Add OpenAI API Key' 2. When user clicks on the button a popup modal window opens up. 3. The pop up modal should contain and input where user can enter an openai api key and 'Save' button. 4. When user's API key is entered, they can use the app functionality with their api key

First, let's create the button and the modal with the form for entering the API key. Add this code at the top of your <template> section:

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<template> <div class="container mx-auto px-4"> <button @click="openModal = true" class="bg-blue-600 text-white py-2 px-4 rounded-md mb-4" > Add OpenAI API Key </button> <!-- ... --> </div> </template>

Now, let's add the modal structure and logic to open and close it. Add this code inside the <div> container, right after the "Add OpenAI API Key" button:

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<div v-if="openModal" class="fixed z-10 inset-0 overflow-y-auto" aria-labelledby="modal-title" role="dialog" aria-modal="true" > <div class="flex items-end justify-center min-h-screen pt-4 px-4 pb-20 text-center sm:block sm:p-0" > <div class="fixed inset-0 bg-gray-500 bg-opacity-75 transition-opacity" aria-hidden="true" @click="openModal = false" ></div> <span class="hidden sm:inline-block sm:align-middle sm:h-screen" aria-hidden="true" > &#8203; </span> <div class="inline-block align-bottom bg-white rounded-lg px-4 pt-5 pb-4 text-left overflow-hidden shadow-xl transform transition-all sm:my-8 sm:align-middle sm:max-w-lg sm:w-full sm:p-6"> <div class="sm:flex sm:items-start"> <div class="mt-3 text-center sm:mt-0 sm:ml-4 sm:text-left"> <h3 class="text-lg leading-6 font-medium text-gray-900" id="modal-title" > Enter your OpenAI API Key </h3> <div class="mt-2"> <input v-model="userAPIKey" type="text" class="border w-full p-2 mt-2 rounded-md" placeholder="Enter your API key here" /> </div> </div> </div> <div class="mt-5 sm:mt-4 sm:flex sm:flex-row-reverse"> <button @click="saveAPIKey" type="button" class="w-full inline-flex justify-center rounded-md border border-transparent shadow-sm px-4 py-2 bg-blue-600 text-base font-medium text-white hover:bg-blue-700 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-blue-500 sm:ml-3 sm:w-auto sm:text-sm" > Save </button> <button @click="openModal = false" type="button" class="mt-3 w-full inline-flex justify-center rounded-md border border-gray-300 shadow-sm px-4 py-2 bg-white text-base font-medium text-gray-700 hover:bg-gray-50 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-blue-500 sm:mt-0 sm:w-auto sm:text-sm" > Cancel </button> </div> </div> </div> </div>

Next, add the required data properties and methods to the <script> section:

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data() { return { openModal: false, user
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It seems that you stopped generating the response

Apologies for the incomplete response. Here's the continuation of the code.

Add the required data properties and methods to the <script> section:

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data() { return { openModal: false, userAPIKey: '', // ... }; }, methods: { saveAPIKey() { if (this.userAPIKey) { this.$store.commit('setAPIKey', this.userAPIKey); this.openModal = false; } }, // ... }

In the above code, we're using Vuex store to save the user's API key. If you're not already using Vuex in your project, you can install it and set it up as follows:

  1. Install Vuex by running npm install vuex@next or yarn add vuex@next.
  2. Create a new file src/store/index.js and add the following code:
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import { createStore } from 'vuex'; export default createStore({ state: { apiKey: '', }, mutations: { setAPIKey(state, apiKey) { state.apiKey = apiKey; }, }, getters: { getAPIKey(state) { return state.apiKey; }, }, });
  1. Add the store to your main Vue instance in src/main.js:
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import { createApp } from 'vue'; import App from './App.vue'; import store from './store'; createApp(App).use(store).mount('#app');

Now, you can use the userAPIKey value saved in the Vuex store for making requests to the OpenAI API. Update the improveText() method in your methods object to use the API key from the store:

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async improveText() { // ... try { const response = await axios.post( 'https://api.openai.com/v1/engines/davinci-codex/completions', { prompt: this.selectedPrompt + this.inputText, // ... }, { headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${this.$store.getters.getAPIKey}`, }, } ); // ... } catch (error) { // ... } },

With these changes, users can enter their own OpenAI API key and use the app with their key.

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Just want to remind you that I have a separate file for openai calls: src/openai.js. How we can modify the code you suggested to fit my current project structure? import axios from "axios"; const openai = axios.create({ baseURL: "https://api.openai.com/v1/chat/completions", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${import.meta.env.VITE_OPENAI_API_KEY}`, }, }); export default openai;

I apologize for the confusion. In order to modify the code to fit your current project structure, you can update the src/openai.js file to accept an API key as an argument when creating the axios instance. Here's how you can do that:

  1. Update your src/openai.js file to export a function that takes an API key as a parameter and returns the axios instance:
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import axios from "axios"; const createOpenaiInstance = (apiKey) => { return axios.create({ baseURL: "https://api.openai.com/v1/chat/completions", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${apiKey}`, }, }); }; export default createOpenaiInstance;
  1. Update your improveText() method in the Vue component to use the createOpenaiInstance() function with the API key from the Vuex store:
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import createOpenaiInstance from "@/openai"; // ... methods: { async improveText() { this.loading = true; const apiKey = this.$store.getters.getAPIKey || import.meta.env.VITE_OPENAI_API_KEY; const openai = createOpenaiInstance(apiKey); const payload = { model: "gpt-3.5-turbo", messages: [{ role: "system", content: this.selectedPrompt }, { role: "user", content: this.inputText }], max_tokens: 200, }; try { const response = await openai.post("", payload); this.outputText = response.data.choices[0].message.content; } catch (error) { console.error("Error: ", error); this.outputText = "An error occurred. Please try again."; } finally { this.loading = false; } }, // ... },

With these changes, the improveText() method will use either the user-provided API key from the Vuex store or fall back to the one from your .env file.

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Add additional logic to user-provided API key functionality: If there is no API key provided by user: 1. Disable 'Improve' button 2. Add the following text to output text area: 'Please provide an OpenAI API key to use the app'. Assume that user hasn't provided an api key at the initial state of the app.

To add the additional logic to the user-provided API key functionality, you can modify your Vue component as follows:

  1. Update the computed property to determine whether the 'Improve' button should be disabled:
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computed: { disableImproveButton() { return this.loading || this.inputText.length === 0 || this.inputText.length > 1500 || !this.$store.getters.getAPIKey; }, },
  1. Update the 'Improve' button's :disabled property and :class attribute to use the new disableImproveButton computed property:
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<button @click="improveText" :disabled="disableImproveButton" :class="{ 'disabled:opacity-50': disableImproveButton }" class="w-full bg-blue-600 text-white py-2 rounded-md mb-4 inline-flex items-center justify-center h-12" > <!-- ... --> </button>
  1. Add a watcher to update the output text area when the API key changes:
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watch: { "$store.getters.getAPIKey": function (newAPIKey, oldAPIKey) { if (!newAPIKey) { this.outputText = "Please provide an OpenAI API key to use the app."; } }, },
  1. Set the initial output text when the component is created:
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created() { if (!this.$store.getters.getAPIKey) { this.outputText = "Please provide an OpenAI API key to use the app."; } },

With these changes, the 'Improve' button will be disabled and the output text area will display the specified message when there is no user-provided API key. The app will assume that no API key has been provided initially.

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Make OpenAI key provided by the user persistent during this browser session. For example I don't want the api key to be cleared every time I reload the page.

To make the API key persistent during the browser session, you can use the sessionStorage object. Modify your Vuex store like this:

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// src/store.js import { createStore } from "vuex"; const store = createStore({ state: { openaiApiKey: sessionStorage.getItem("openaiApiKey") || "", }, mutations: { setAPIKey(state, apiKey) { state.openaiApiKey = apiKey; sessionStorage.setItem("openaiApiKey", apiKey); }, }, getters: { getAPIKey: (state) => state.openaiApiKey, }, }); export default store;

In this example, we are using sessionStorage to store the API key. When the Vuex store is created, it checks for the presence of an API key in sessionStorage. If it finds one, it uses that value; otherwise, it defaults to an empty string.

When the setAPIKey mutation is called, it not only updates the state but also saves the new API key in sessionStorage. This way, when the user reloads the page, the API key will persist during the session.

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Great! But I have a problem: the API key is not saved in the input of the modal when I reload the page. How to solve it?

To solve this issue, you need to set the initial value of the API key input field in the modal to the current value stored in Vuex.

First, make sure you're using the v-model directive in the input field of the modal to bind it to a data property. Let's call this data property enteredApiKey.

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<!-- Inside the modal --> <input type="text" v-model="enteredApiKey" placeholder="Enter OpenAI API Key" />

Then, in your Vue component, you need to set the initial value of enteredApiKey to the current value stored in the Vuex store when the component is created. You can do this using the created() lifecycle hook:

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import { useStore } from "vuex"; export default { data() { return { enteredApiKey: "", // other data properties }; }, created() { const store = useStore(); this.enteredApiKey = store.getters.getAPIKey; }, methods: { // your methods }, };

Now, when the component is created, it will set the value of enteredApiKey to the current value stored in the Vuex store, which will also set the value of the input field in the modal. When you reload the page, the API key will be displayed in the input field if it's present in the Vuex store.

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Move 'Add OpenAI API Key' button to the right of the header of the page

To move the "Add OpenAI API Key" button to the right of the header, you can make use of Tailwind CSS classes. Update the header part of your Vue component template as follows:

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<header class="flex items-center justify-between px-4 py-2 bg-gray-100"> <h1 class="text-xl font-semibold">Your App Title</h1> <button @click="showModal = true" class="bg-blue-600 text-white px-4 py-2 rounded-md" > Add OpenAI API Key </button> </header>

Here, I've wrapped the header content within a header tag and used the flex, items-center, and justify-between classes to create a flex container that aligns its children vertically centered and justifies them with space in between. This will place the "Add OpenAI API Key" button to the right side of the header.

Feel free to adjust the styles and classes to match your desired design.

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Add a success state to 'Add OpenAI API Key': - Make the color green - Add a tick icon before the text Set the button to success state, when the api key is added to store. If there is not API key in store, change it to default

To add a success state to the "Add OpenAI API Key" button, you can create a computed property that checks whether an API key is present in the store. You can then use this computed property to conditionally apply styles to the button.

First, create a computed property called hasApiKey:

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import { computed } from "vue"; import { useStore } from "vuex"; export default { // ... computed: { hasApiKey() { const store = useStore(); return !!store.getters.getAPIKey; }, }, // ... };

Then, in your template, use the hasApiKey computed property to conditionally apply the success styles to the button:

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<button @click="showModal = true" :class="{ 'bg-green-600': hasApiKey, 'bg-blue-600': !hasApiKey, 'text-white': true, 'px-4': true, 'py-2': true, 'rounded-md': true }" > <template v-if="hasApiKey"> <svg class="inline-block h-4 w-4 mr-2 text-white" fill="none" stroke="currentColor" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg" > <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" ></path> </svg> </template> Add OpenAI API Key </button>

This code uses the :class binding to apply the bg-green-600 class when hasApiKey is true, and the bg-blue-600 class when it's false. The tick icon is displayed inside the button using an inline SVG and the v-if directive, which only renders the icon when hasApiKey is true.

Now, when an API key is added to the store, the button will change to the success state with a green background and a tick icon. If there's no API key in the store, the button will have the default blue background.

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If we get a 401 response which means the api key is not correct: 1. Add text to output text area: 'Please check if you entered the correct API key.' 2. Change 'Add OpenAI API Key' button state to default 3. But don't change or remove the API key from store.

To handle a 401 response and apply the changes you described, you can modify the improveText method in your Vue component. Check for a 401 status code in the error handling block and apply the appropriate changes:

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import { ref, computed } from "vue"; import { useStore } from "vuex"; import openai from "@/openai"; export default { // ... methods: { async improveText() { this.loading = true; try { // ... (rest of the improveText method) const response = await openai.post("", postData); // ... (rest of the improveText method) } catch (error) { if (error.response && error.response.status === 401) { this.outputText = "Please check if you entered the correct API key."; this.$store.commit("setInvalidApiKey", true); } else { // ... (handle other errors) } } finally { this.loading = false; } }, }, // ... };

In the Vuex store, add a new state property invalidApiKey, a mutation to set its value, and a getter to access it:

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import { createStore } from "vuex"; export default createStore({ state: { apiKey: null, invalidApiKey: false, }, mutations: { setAPIKey(state, apiKey) { state.apiKey = apiKey; }, setInvalidApiKey(state, value) { state.invalidApiKey = value; }, }, getters: { getAPIKey(state) { return state.apiKey; }, isInvalidApiKey(state) { return state.invalidApiKey; }, }, });

Now, create a computed property called isInvalidApiKey in your Vue component to check whether the API key is invalid:

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import { computed } from "vue"; import { useStore } from "vuex"; export default { // ... computed: { isInvalidApiKey() { const store = useStore(); return store.getters.isInvalidApiKey; }, }, // ... };

Finally, update the "Add OpenAI API Key" button to conditionally apply the default state when the API key is invalid:

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<button @click="showModal = true" :class="{ 'bg-green-600': hasApiKey && !isInvalidApiKey, 'bg-blue-600': !hasApiKey || isInvalidApiKey, 'text-white': true, 'px-4': true, 'py-2': true, 'rounded-md': true }" > <!-- ... (rest of the button) --> </button>

Now, when a 401 response is received, the output text area will display the appropriate message, the "Add OpenAI API Key" button will change to the default state, and the API key in the store will remain unchanged.

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Adapt the interface for mobile devices: On desktop devices, the structure of the page should be as is, but for mobile screen size: 1. Place the input text area, then the 'improve' button below it, and the output text area below improve button

To make the layout responsive and adapt to mobile devices, you can use Tailwind CSS's utility classes. Update the structure of your Vue component's template as follows:

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<div class="container mx-auto px-4"> <div class="text-center mb-4"> <h1 class="text-4xl font-bold mb-4">Your AI Text Editor</h1> <div class="mb-4"> <label class="block text-lg mb-2">I want to write:</label> <!-- Tab pills go here --> </div> </div> <div class="flex flex-col-reverse md:flex-row"> <div class="w-full md:w-1/2 md:pr-2"> <!-- Input textarea and the clear button go here --> </div> <div class="flex items-center justify-center w-full md:w-auto py-4 md:py-0"> <!-- Improve button goes here --> </div> <div class="w-full md:w-1/2 md:pl-2"> <!-- Output textarea goes here --> </div> </div> </div>

Here, I've used the flex-col-reverse md:flex-row classes on the container of the input and output text areas, and the improve button. This will stack the elements vertically in reverse order on small screens (mobile devices) and display them horizontally on medium and larger screens (desktop devices).

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Don't use adjustTextAreaHeight() and syncTextAreaHeights() function for mobile devices

To prevent the adjustTextAreaHeight() and syncTextAreaHeights() functions from running on mobile devices, you can add a condition to check the screen width before running these functions. You can use window.innerWidth to get the current window width.

Here's an example of how to modify the adjustTextAreaHeight() function:

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methods: { adjustTextAreaHeight() { if (window.innerWidth >= 768) { // Only run on medium and larger screens this.$refs.inputTextArea.style.height = "auto"; this.$refs.inputTextArea.style.height = this.$refs.inputTextArea.scrollHeight + "px"; this.syncTextAreaHeights(); } }, // ... }

Similarly, modify the syncTextAreaHeights() function:

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methods: { // ... syncTextAreaHeights() { if (window.innerWidth >= 768) { // Only run on medium and larger screens this.$refs.outputTextArea.style.height = this.$refs.inputTextArea.style.height; } }, }

Now, the adjustTextAreaHeight() and syncTextAreaHeights() functions will only run on medium and larger screens (≥ 768 pixels wide).

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I moved 'Improve' button to the same container with input and output text area. Here is my realization: <span> <svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 md:hidden" fill="currentColor"> </svg> </span> <span> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none"> </svg> </span> How to make chevron icon only seen on desktop, and text 'Improve' on mobile here?

You can use the Tailwind CSS utility classes hidden and block along with the md: responsive prefix to hide or show the elements based on the screen size. Here's how to modify your button code:

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<button @click="improveText" :disabled="disableImproveButton" :class="{ 'disabled:opacity-50': disableImproveButton }" class="w-full inline-flex bg-blue-600 text-white rounded-full h-12 md:w-12 md:flex md:absolute left-1/2 md:-translate-x-1/2 md:top-24 md:-translate-y-1/2 items-center justify-center" > <!-- Chevron icon for desktop (hidden on mobile) --> <svg xmlns="http://www.w3.org/2000/svg" class="hidden md:block h-5 w-5" viewBox="0 0 20 20" fill="currentColor" > <path fill-rule="evenodd" d="M12.707 10l-5-5a1 1 0 00-1.414 1.414L9.586 10l-3.293 3.293a1 1 0 101.414 1.414l5-5a1 1 0 000-1.414z" clip-rule="evenodd" /> </svg> <!-- Text for mobile (hidden on desktop) --> <span class="md:hidden">Improve</span> <!-- Loading spinner --> <span v-if="loading"> <svg class="animate-spin h-5 w-5 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" > <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4" ></circle> <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z" ></path> </svg> </span> </button>

The hidden class will hide the element by default, and the md:block class will display the element as a block on medium and larger screens. Similarly, the md:hidden class will hide the "Improve" text on medium and larger screens.

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Add 'Copy' button with 'Copy' icon to output text area similar way as 'Clear' button was added to input text area. The SVG of the copy icon is the following: <svg xmlns="http://www.w3.org/2000/svg"></svg> The SVG color should be gray. Show 'Copy' button only when there is text in output text area. The 'Copy' button should copy the text of the output container to the clipboard.

To add the 'Copy' button inside the output text area and implement the desired functionality, follow these steps:

  1. Add a reference to the output text area in the template:
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<textarea ref="outputTextArea" readonly class="..."></textarea>
  1. Add the 'Copy' button inside the output text area container:
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<button v-if="outputText.length > 0" @click="copyToClipboard" class="absolute top-2 right-2" > <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 96 960 960" class="h-5 w-5 text-gray-500" > <path d="M180 975q-24 0-42-18t-18-42V312h60v603h474v60H180Zm120-120q-24 0-42-18t-18-42V235q0-24 18-42t42-18h440q24 0 42 18t18 42v560q0 24-18 42t-42 18H300Zm0-60h440V235H300v560Zm0 0V235v560Z" /> </svg> </button>
  1. Add the copyToClipboard method in the methods section of your Vue component:
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methods: { // ... copyToClipboard() { // Create a temporary textarea element const tempTextArea = document.createElement("textarea"); tempTextArea.value = this.outputText; document.body.appendChild(tempTextArea); // Select and copy the text tempTextArea.select(); document.execCommand("copy"); // Remove the temporary textarea element document.body.removeChild(tempTextArea); }, },

With these changes, the 'Copy' button should now appear inside the output text area when there is text, and clicking on it will copy the output text to the clipboard.

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Add an instructional text to the modal where user sets the openai api key. Place this text under the input Follow this steps to retrieve OpenAI API key: Show details Make show details a link, that expands and collapses the following text: """1. Go to the OpenAI website: https://www.openai.com/ 2. Click on "Get Started" or "Sign in" if you already have an account. 3. Create an account or sign in to your existing account. 4. After signing in, you'll be directed to the OpenAI Dashboard. 5. Navigate to the API section by clicking "API" in the left sidebar menu or by visiting: https://platform.openai.com/signup 6. Follow the instructions to access or sign up for the API. If you're eligible, you'll be provided with an API key. 7. The API key should look like a long alphanumeric string (e.g., "sk-12345abcdeABCDEfghijKLMNOP").""" When the text is expanded, change 'Show details' link to 'Hide details'. When it's in 'Hide details' state, collapse the text.

To add the instructional text and expand/collapse functionality, follow these steps:

  1. Add a data property showDetails and set its initial value to false:
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data() { return { // ... showDetails: false, }; },
  1. Add the instructional text and the expand/collapse link in the modal under the input field:
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<p class="mt-2"> Follow these steps to retrieve OpenAI API key: <a href="#" @click.prevent="showDetails = !showDetails" class="text-blue-600" > {{ showDetails ? "Hide details" : "Show details" }} </a> </p>
  1. Add the expandable details text under the link with a v-if directive:
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<div v-if="showDetails" class="mt-2 text-sm"> <ol> <li>Go to the OpenAI website: https://www.openai.com/</li> <li>Click on "Get Started" or "Sign in" if you already have an account.</li> <li>Create an account or sign in to your existing account.</li> <li>After signing in, you'll be directed to the OpenAI Dashboard.</li> <li>Navigate to the API section by clicking "API" in the left sidebar menu or by visiting: https://platform.openai.com/signup</li> <li>Follow the instructions to access or sign up for the API. If you're eligible, you'll be provided with an API key.</li> <li>The API key should look like a long alphanumeric string (e.g., "sk-12345abcdeABCDEfghijKLMNOP").</li> </ol> </div>

With these changes, the expand/collapse functionality should work as expected. The instructional text will be shown when the "Show details" link is clicked, and it will be hidden when the "Hide details" link is clicked.

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Some edits: 1. Make the instructional text secondary and smaller font. 2. Add numbered list to the instructions

To make the instructional text secondary and with a smaller font, as well as add a numbered list to the instructions, update the HTML code as follows:

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<p class="mt-2 text-gray-600 text-sm"> Follow these steps to retrieve OpenAI API key: <a href="#" @click.prevent="showDetails = !showDetails" class="text-blue-600" > {{ showDetails ? "Hide details" : "Show details" }} </a> </p> <div v-if="showDetails" class="mt-2 text-sm text-gray-600"> <ol class="list-decimal list-outside pl-6"> <li>Go to the OpenAI website: https://www.openai.com/</li> <li>Click on "Get Started" or "Sign in" if you already have an account.</li> <li>Create an account or sign in to your existing account.</li> <li>After signing in, you'll be directed to the OpenAI Dashboard.</li> <li>Navigate to the API section by clicking "API" in the left sidebar menu or by visiting: https://platform.openai.com/signup</li> <li>Follow the instructions to access or sign up for the API. If you're eligible, you'll be provided with an API key.</li> <li>The API key should look like a long alphanumeric string (e.g., "sk-12345abcdeABCDEfghijKLMNOP").</li> </ol> </div>

This code sets the text color to a secondary gray (text-gray-600) and reduces the font size to text-sm for both the instruction paragraph and the expandable details. Additionally, the list-decimal list-outside pl-6 classes create a numbered list with appropriate indentation for the instructions.

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Also open https://www.openai.com/ link in new window

To open the OpenAI website link in a new window, you should add the target="_blank" attribute to the anchor tag. Additionally, it's recommended to add the rel="noopener noreferrer" attribute to improve security and performance. Update the first list item in the instructions as follows:

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<ol class="list-decimal list-outside pl-6"> <li> Go to the OpenAI website: <a href="https://www.openai.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600" > https://www.openai.com/ </a> </li> <!-- The rest of the list items --> </ol>

With these changes, the OpenAI website link will open in a new browser window or tab when clicked.

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Add 'Delete' button to modal window, that deletes entered Open AI API key from the app.

To add a "Delete" button to the modal window, update the modal content by adding a new button with a click event that clears the stored API key. Here's the code for the updated modal:

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<!-- Modal content --> <div class="p-4"> <h3 class="text-lg font-semibold mb-4">Add OpenAI API Key</h3> <div class="mb-4"> <label for="api-key" class="block text-sm font-medium text-gray-700">API Key</label> <input v-model="tempApiKey" type="text" id="api-key" class="mt-1 block w-full rounded-md border-gray-300 shadow-sm focus:border-blue-300 focus:ring focus:ring-blue-200 focus:ring-opacity-50"> </div> <div v-if="showDetails" class="mb-4"> <!-- Instructional text with numbered list --> </div> <button @click="saveApiKey" class="bg-blue-600 text-white py-2 px-4 rounded-md mr-2">Save</button> <button @click="deleteApiKey" class="bg-red-600 text-white py-2 px-4 rounded-md">Delete</button> </div>

In your Vue component, add a new method called deleteApiKey() that removes the API key from the store and clears the temporary API key in the input field:

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methods: { // Other methods... deleteApiKey() { this.$store.commit("setApiKey", null); this.tempApiKey = ""; }, }

Now, when you click the "Delete" button in the modal window, it will remove the stored API key and clear the input field.

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It's still not quite there, the code that worked for me in the deleteApiKey() function is the following: deleteAPIKey() { sessionStorage.removeItem('openaiApiKey'); this.$store.commit('setAPIKey', ""); this.userAPIKey = ""; this.showModal = false; },

Apologies for the confusion, and thank you for sharing your working solution. Your implementation of the deleteAPIKey() function using sessionStorage.removeItem('openaiApiKey') is indeed the correct way to remove the stored API key from the browser session storage. The rest of the function clears the API key from the store and input field, and closes the modal.

Here's your updated deleteAPIKey() function:

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methods: { // Other methods... deleteAPIKey() { sessionStorage.removeItem('openaiApiKey'); this.$store.commit('setAPIKey', ""); this.userAPIKey = ""; this.showModal = false; }, }

This should work as expected, deleting the API key from both the session storage and the application state.

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Regarding the copy button. I don't want to display it when there is no API key or when there was an error in responce

To ensure the 'Copy' button only displays when there is a valid API key and no errors in the response, you can update the v-if condition in the button's HTML code. You can use a computed property to check these conditions.

Add the following computed property to your Vue component:

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computed: { // Other computed properties... showCopyButton() { return ( this.$store.state.apiKey && this.outputText.length > 0 && this.outputText !== "Please check if you entered the correct API key." ); }, },

Now, update the 'Copy' button's v-if condition to use the showCopyButton computed property:

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<button v-if="showCopyButton" @click="copyToClipboard" class="your-copy-button-classes" > <!-- Copy Icon SVG --> </button>

With this change, the 'Copy' button will only be displayed when there is a valid API key, text in the output area, and the output text is not the error message.

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Don't create another computed property, just use existing ones for the condition: hasApiKey() { const store = useStore(); return !!store.getters.getAPIKey; }, isInvalidApiKey() { const store = useStore(); return store.getters.isInvalidApiKey; },

You can utilize the existing computed properties to create the v-if condition directly in the template for the 'Copy' button. Update the 'Copy' button's v-if condition as follows:

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<button v-if="hasApiKey && outputText.length > 0 && !isInvalidApiKey" @click="copyToClipboard" class="your-copy-button-classes" > <!-- Copy Icon SVG --> </button>

This updated condition checks if there is a valid API key, if there is text in the output area, and if the API key is not invalid. The 'Copy' button will be displayed only when these conditions are met.

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Use Inter from google fonts as a main font

To use the Inter font from Google Fonts, follow these steps:

  1. Go to Google Fonts (https://fonts.google.com/) and search for "Inter".
  2. Click on the Inter font and select the font weights/styles you want to use in your project.
  3. Click on the "Embed" tab and copy the provided <link> code.

Now, in your Vue.js project, add the copied <link> code to the public/index.html file in the <head> section:

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<!DOCTYPE html> <html lang="en"> <head> ... <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&display=swap" rel="stylesheet" /> </head> ... </html>

Finally, apply the Inter font to your project by updating the src/assets/css/tailwind.css file:

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@import 'tailwindcss/base'; @import 'tailwindcss/components'; @import 'tailwindcss/utilities'; @layer base { body { font-family: 'Inter', sans-serif; } }

Now, the Inter font should be applied as the main font for your project. Adjust the font weights/styles according to your preferences by modifying the @import line in the index.html file and the font styles in your CSS classes.

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I edited a block that selects prompts a bit, but I don't want it to take the full width because I have a background and I want it to be centered. here is the block: <div> A blog A message Just correct </div>

To center the block and avoid taking the full width, you can wrap the existing block in a container and use flexbox to center the content. Here's the updated code:

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<div class="flex justify-center"> <div class="flex justify-center mb-8 bg-gray-200 rounded-full"> <button @click="selectedPrompt = 'blog'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'blog', 'bg-gray-200 text-gray-800': selectedPrompt !== 'blog' }" class="px-4 py-2 rounded-full" > A blog </button> <button @click="selectedPrompt = 'teammate'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'teammate', 'bg-gray-200 text-gray-800': selectedPrompt !== 'teammate' }" class="px-4 py-2 rounded-full" > A message </button> <button @click="selectedPrompt = 'correct'" :class="{ 'bg-blue-600 text-white': selectedPrompt === 'correct', 'bg-gray-200 text-gray-800': selectedPrompt !== 'correct' }" class="px-4 py-2 rounded-full" > Just correct </button> </div> </div>

This will create a flex container that takes the full width of its parent, and then center the existing block with buttons within that container.

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I want to remove borders from input and output text areas, make them more rounded, and add bigger paddings.

You can update the styles for both input and output text areas to remove borders, make them more rounded, and add bigger paddings. Here's the updated code:

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<textarea ref="inputTextArea" v-model="inputText" @input="adjustTextAreaHeight($event.target)" class="w-full h-48 resize-none border-none rounded-2xl p-4 shadow-md bg-white text-gray-800 placeholder-gray-500" placeholder="Enter your text here" ></textarea> <textarea ref="outputTextArea" readonly v-model="outputText" class="w-full h-48 resize-none border-none rounded-2xl p-4 shadow-md bg-white text-gray-800" ></textarea>

The changes are as follows:

  1. Remove border by adding border-none.
  2. Make them more rounded by changing rounded-md to rounded-2xl.
  3. Add bigger paddings by changing p-2 to p-4.

These changes will apply the new styles to both input and output text areas.

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Don't change border color on input and output text areas when in focus

To prevent the border color change on input and output text areas when they are in focus, you can use the focus:border-none class. Here's the updated code:

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<textarea ref="inputTextArea" v-model="inputText" @input="adjustTextAreaHeight($event.target)" class="w-full h-48 resize-none border-none rounded-2xl p-4 shadow-md bg-white text-gray-800 placeholder-gray-500 focus:border-none focus:ring-0" placeholder="Enter your text here" ></textarea> <textarea ref="outputTextArea" readonly v-model="outputText" class="w-full h-48 resize-none border-none rounded-2xl p-4 shadow-md bg-white text-gray-800 focus:border-none focus:ring-0" ></textarea>

I added focus:border-none focus:ring-0 classes to both input and output text areas. These classes will prevent any border changes when the text areas are in focus.

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Make the color of character limit counter red, when the input text area is over the limit

To change the color of the character limit counter to red when the input text area is over the limit, you can use the text-red-500 class and a conditional class binding. Here's the updated code for the character limit counter:

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<div :class="{ 'text-red-500': inputText.length > 1500 }" class="text-gray-600 text-sm mb-4" > {{ inputText.length }}/1500 </div>

The :class="{ 'text-red-500': inputText.length > 1500 }" binding will apply the text-red-500 class when the input text length exceeds 1500 characters.

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I edited the header a bit, here is the updated code: <header> <h1>Write like <span class="pl-1 pr-1 bg-green-200">a</span> native</h1> <svg class="text-white inline-block h-4 w-4 mr-1 fill-current" clip-rule="evenodd" fill-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="2" xmlns="http://www.w3.org/2000/svg"></svg> API Key added Add OpenAI API Key </header> How do I make app name (h1 tag) truncated with ellipsis on small screens. Take into consideration that h1 is a child of flex container.

To truncate the app name (h1 tag) with ellipsis on small screens, you can add the necessary utility classes from Tailwind CSS to the h1 tag. Here's how you can update the h1 tag:

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<h1 class="text-base text-slate-600 max-w-xs sm:max-w-full overflow-hidden whitespace-nowrap overflow-ellipsis"> Write like <span class="pl-1 pr-1 bg-green-200">a</span> native </h1>
  • max-w-xs: Limit the width of the h1 tag on small screens.
  • sm:max-w-full: Allow the h1 tag to take full width on screens larger than the sm breakpoint.
  • overflow-hidden: Hide the overflowing text.
  • whitespace-nowrap: Prevent wrapping of the text.
  • overflow-ellipsis: Add ellipsis to the overflowing text.

These utility classes should help you achieve the desired truncation with ellipsis on small screens.

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Great! And how to make sure that text in the button doesn't wrap to a next line

To ensure the text inside the button doesn't wrap to the next line, you can add the whitespace-nowrap utility class to the button. Update your button like this:

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<button @click="showModal = true" :class="{ 'bg-green-600': hasApiKey && !isInvalidApiKey, 'bg-blue-600': !hasApiKey || isInvalidApiKey, 'text-white': true, 'px-4': true, 'py-2': true, 'rounded-md': true, 'whitespace-nowrap': true }" > <!-- Rest of the button code --> </button>

By adding the whitespace-nowrap class, you prevent the text inside the button from wrapping to the next line.

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I've changed the copy of prompt selectors, now it's - blog - message - correct So, create a brief explanation of what this app does, make sure to mention different types of prompts it uses.

This app is an AI-powered text improvement tool designed to help you write more effectively and naturally. It offers three different types of prompts to enhance your writing experience:

  1. Blog: Use this prompt when you're writing blog posts or articles. The AI will help you generate more engaging and informative content by providing suggestions and improvements to your original text.

  2. Message: This prompt is perfect for crafting messages, emails, or other types of communication. The AI will assist you in making your messages clear, concise, and professional.

  3. Correct: Choose this prompt when you simply need to correct grammar, spelling, and punctuation in your text. The AI will focus on polishing your writing while maintaining the original meaning and style.

Simply select the appropriate prompt, enter your text in the input area, and let the app's AI provide you with an improved version of your writing.

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Can you make it even more succint?

This app is an AI-powered text improvement tool with three prompt options:

  1. Blog: Enhance your blog posts or articles.
  2. Message: Craft clear and concise messages or emails.
  3. Correct: Polish grammar, spelling, and punctuation.

Select a prompt, input your text, and let the AI improve your writing.

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Maybe not that succint

This app uses AI to help you improve your writing. It offers three prompt options to cater to different types of text:

  1. Blog: Designed to enhance your blog posts or articles, making them more engaging and informative.
  2. Message: Perfect for crafting clear and concise messages, emails, or other forms of written communication.
  3. Correct: Focused on refining grammar, spelling, and punctuation for polished and error-free text.

Simply choose a prompt, enter your text, and let the AI work its magic to elevate your writing.

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Great! Now style it beautifully and add it to the bottom of the app. Make sure to use bg-slate-100 as a background.

Here's a beautifully styled explanation component for your app, designed to match your current theme with a bg-slate-100 background. Add this code to your application just before the closing </main> tag.

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<div class="bg-slate-100 px-4 py-6 mt-6 rounded-md"> <h2 class="text-xl font-bold mb-4">How does this app work?</h2> <p class="text-base"> This app uses AI to help you improve your writing. It offers three prompt options to cater to different types of text: </p> <ul class="list-disc list-inside mt-4"> <li> <span class="font-semibold">Blog:</span> Designed to enhance your blog posts or articles, making them more engaging and informative. </li> <li> <span class="font-semibold">Message:</span> Perfect for crafting clear and concise messages, emails, or other forms of written communication. </li> <li> <span class="font-semibold">Correct:</span> Focused on refining grammar, spelling, and punctuation for polished and error-free text. </li> </ul> <p class="text-base mt-4"> Simply choose a prompt, enter your text, and let the AI work its magic to elevate your writing. </p> </div>

This code will create a styled explanation block with a heading, paragraphs, and a bulleted list. It will appear at the bottom of your app with a slight margin-top to provide some separation from the main content.

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Some edits to app description: - make it not as wide, make it a narrow column on bigger screens. - make the text secondary color - reduce the font-size of the header and main text.

Here's the updated and more compact version of the app description component:

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<div class="bg-slate-100 px-4 py-6 mt-6 rounded-md max-w-md mx-auto"> <h2 class="text-lg font-semibold text-slate-600 mb-4">How does this app work?</h2> <p class="text-sm text-slate-500"> This app uses AI to help you improve your writing. It offers three prompt options to cater to different types of text: </p> <ul class="list-disc list-inside mt-4 text-sm text-slate-500"> <li> <span class="font-semibold">Blog:</span> Designed to enhance your blog posts or articles, making them more engaging and informative. </li> <li> <span class="font-semibold">Message:</span> Perfect for crafting clear and concise messages, emails, or other forms of written communication. </li> <li> <span class="font-semibold">Correct:</span> Focused on refining grammar, spelling, and punctuation for polished and error-free text. </li> </ul> <p class="text-sm text-slate-500 mt-4"> Simply choose a prompt, enter your text, and let the AI work its magic to elevate your writing. </p> </div>

This code sets a max-width for the component and centers it with mx-auto, reducing the header and main text font sizes, and changing the text color to a secondary color (text-slate-500). The result is a more compact and less prominent app description on larger screens.

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Add a small link under the prompt picker with text 'How does it work?'. When user clicks the link it should transition them to app explanation.

You can add the link under the prompt picker and use smooth scrolling to transition the user to the app explanation when the link is clicked. First, add an ID attribute to the app description div so that we can reference it:

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<div id="app-description" class="bg-slate-100 px-4 py-6 mt-6 rounded-md max-w-md mx-auto"> ... </div>

Now, add the link under the prompt picker:

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<div class="flex-inline justify-center mb-4 bg-gray-200 rounded-full"> ... </div> <a href="#app-description" class="text-sm text-blue-600 block text-center mb-8">How does it work?</a>

Finally, add the following CSS to enable smooth scrolling:

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html { scroll-behavior: smooth; }

Now, when the user clicks the "How does it work?" link, the page will smoothly scroll to the app explanation section.

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Add a footer to the app that mentions Sasha Petrov and year of creation. The name should open the following link: https://petrov.substack.com/

You can create a simple footer component that includes the required information and link. Add the following code to the bottom of your main template, right after the app description div:

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<footer class="text-center text-sm text-gray-500 mt-8"> &copy; {{ new Date().getFullYear() }} <a href="https://petrov.substack.com/" target="_blank" class="text-blue-600">Sasha Petrov</a> </footer>

This code creates a footer with the current year and a link to Sasha Petrov's Substack page. The link will open in a new tab.

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I want to apply arvo font from google fonts to app name

To apply the Arvo font from Google Fonts to the app name, follow these steps:

  1. Import the Arvo font in your project by adding the following line to your index.html file, within the <head> tag:
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<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Arvo&display=swap" />
  1. Apply the Arvo font to the app name (h1 tag) by updating your CSS. Add the following rule to your styles:
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h1 { font-family: 'Arvo', serif; }

Now the app name should use the Arvo font.

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Add bottom padding to list items in app instruction.

To add bottom padding to the list items in the app instructions, you can update your CSS. Add the following rule to your styles:

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.app-instruction ul li { padding-bottom: 8px; }

This will add 8 pixels of bottom padding to each list item in the app instructions. You can adjust the value to your preference if you want more or less padding.

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How can I refactor and improve my app code to meet the best practices of front-end development on vue.js 3.

To improve your Vue.js 3 app code and follow best practices, consider the following suggestions:

  1. Use a consistent style guide: Adopt a style guide like the official Vue.js style guide (https://v3.vuejs.org/style-guide/) to ensure your code is consistent and easy to maintain.

  2. Break down the application into components: Divide your application into smaller, reusable components. This improves readability and maintainability of your code.

  3. Use Vuex for state management: If your app has complex state management or shares state across multiple components, consider using Vuex (https://vuex.vuejs.org/).

  4. Use Vue Router for navigation: If your app has multiple pages or views, use Vue Router (https://router.vuejs.org/) for client-side routing and navigation.

  5. Use computed properties and watchers efficiently: Make use of computed properties for calculations based on reactive data and watchers for side effects when data changes.

  6. Optimize for performance: Use v-if and v-show directives, lazy loading, and other techniques to optimize the performance of your application.

  7. Accessibility: Ensure your app follows accessibility best practices, like using semantic HTML, proper ARIA attributes, and keyboard navigation.

  8. Internationalization: If your app supports multiple languages, use a library like Vue I18n (https://kazupon.github.io/vue-i18n/) for translations and localization.

  9. Use CSS preprocessors: Use a CSS preprocessor like SCSS, LESS, or Stylus to maintain and organize your styles more efficiently.

  10. Write unit tests: Add unit tests to your components using a testing framework like Jest (https://jestjs.io/) and the Vue Test Utils library (https://vue-test-utils.vuejs.org/).

  11. Use custom directives: If you find yourself using the same functionality across multiple components, consider creating a custom directive.

  12. Keep your code DRY (Don't Repeat Yourself): Extract repetitive code into reusable functions, mixins, or components.

  13. Use eslint-plugin-vue: Use eslint-plugin-vue (https://eslint.vuejs.org/) to lint your Vue.js code, ensuring it follows best practices and catches potential issues.

By applying these best practices and continuously refactoring your code, you'll improve the overall quality, readability, and maintainability of your Vue.js 3 app.

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Can you give me recommendations based on my code?

Certainly! Here are some recommendations based on the code snippets you've provided throughout our conversation:

  1. Organize your code into components: You can break down your application into smaller, more manageable components. For example, you could have components for the header, input and output text areas, prompt selector, app description, and footer.

  2. Use a CSS preprocessor: You've used inline styles in some of your code snippets. It would be better to use a CSS preprocessor like SCSS to organize your styles more efficiently.

  3. Use template literals for multi-line strings: Instead of using triple quotes (""") for multi-line strings, consider using template literals with backticks (``) for better readability and to avoid potential issues.

  4. Use Vue Router for navigation: If you plan on expanding your app to include additional views, consider using Vue Router to handle client-side navigation.

  5. Accessibility improvements: Ensure that your app is accessible by adding appropriate ARIA attributes, such as aria-label, where necessary.

  6. Use more descriptive variable and method names: Use more descriptive names for your variables and methods to make your code easier to understand.

  7. Use computed properties for conditional classes: For conditional classes, you can use computed properties to make your code more readable and maintainable.

  8. Handle API errors more gracefully: When an API error occurs, provide more user-friendly error messages and appropriate UI updates.

  9. Optimize performance: Use v-if and v-show directives, lazy loading, and other techniques to optimize the performance of your application.

  10. Add unit tests: Write unit tests for your components using a testing framework like Jest and the Vue Test Utils library.

By implementing these recommendations, you can improve the overall quality, readability, and maintainability of your Vue.js 3 app.

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Help me organize my code into components

Sure! I'll help you break down your application into smaller components. Here's a suggested structure for your application:

  1. AppHeader.vue
  2. InputTextArea.vue
  3. OutputTextArea.vue
  4. PromptSelector.vue
  5. AppDescription.vue
  6. AppFooter.vue

Here's how you can create each component:

  1. AppHeader.vue:
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<template> <header class="flex items-center justify-between px-4 py-2"> <!-- header content --> </header> </template> <script> export default { name: 'AppHeader', // props, methods, computed properties, etc. }; </script>
  1. InputTextArea.vue:
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<template> <div> <!-- Input text area content --> </div> </template> <script> export default { name: 'InputTextArea', // props, methods, computed properties, etc. }; </script>
  1. OutputTextArea.vue:
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<template> <div> <!-- Output text area content --> </div> </template> <script> export default { name: 'OutputTextArea', // props, methods, computed properties, etc. }; </script>
  1. PromptSelector.vue:
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<template> <div> <!-- Prompt selector content --> </div> </template> <script> export default { name: 'PromptSelector', // props, methods, computed properties, etc. }; </script>
  1. AppDescription.vue:
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<template> <div> <!-- App description content --> </div> </template> <script> export default { name: 'AppDescription', // props, methods, computed properties, etc. }; </script>
  1. AppFooter.vue:
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<template> <footer> <!-- Footer content --> </footer> </template> <script> export default { name: 'AppFooter', // props, methods, computed properties, etc. }; </script>

Once you've created these components, you can import them in your main App.vue file and use them as follows:

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<template> <div id="app"> <AppHeader /> <InputTextArea /> <OutputTextArea /> <PromptSelector /> <AppDescription /> <AppFooter /> </div> </template> <script> import AppHeader from './components/AppHeader.vue'; import InputTextArea from './components/InputTextArea.vue'; import OutputTextArea from './components/OutputTextArea.vue'; import PromptSelector from './components/PromptSelector.vue'; import AppDescription from './components/AppDescription.vue'; import AppFooter from './components/AppFooter.vue'; export default { name: 'App', components: { AppHeader, InputTextArea, OutputTextArea, PromptSelector, AppDescription, AppFooter, }, }; </script>

Now your code is organized into smaller, more manageable components, making it easier to maintain and understand.

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And how do I handle all the app logic through out all the components as all of them are dependent and everything is in a single App.vue file right now.

To manage the logic between components, you can use a combination of props, custom events (emitters), and Vuex if needed. I'll show you how to manage the state and logic by using props and custom events as a starting point.

  1. AppHeader.vue: Pass down the necessary data and methods as props, and emit events when needed.
  2. InputTextArea.vue: Pass down the necessary data and methods as props, and emit events when needed.
  3. OutputTextArea.vue: Pass down the necessary data and methods as props, and emit events when needed.
  4. PromptSelector.vue: Pass down the necessary data and methods as props, and emit events when needed.

In each component, you can define props and use $emit to emit custom events to the parent component. Here's an example using the InputTextArea.vue component:

InputTextArea.vue:

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<template> <div> <!-- Input text area content --> <!-- Use the passed down props and emit events --> </div> </template> <script> export default { name: 'InputTextArea', props: ['inputText', 'inputLimit', 'disableImproveButton'], methods: { onInput(event) { this.$emit('update-input', event.target.value); }, }, }; </script>

In the App.vue, pass the required data as props and listen for custom events:

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<template> <div id="app"> <AppHeader :has-api-key="hasApiKey" :is-invalid-api-key="isInvalidApiKey" @open-api-key-modal="showModal = true" /> <InputTextArea :input-text="inputText" :input-limit="inputLimit" :disable-improve-button="disableImproveButton" @update-input="updateInputText" /> <OutputTextArea :output-text="outputText" :is-loading="isLoading" @copy-text="copyTextToClipboard" /> <PromptSelector :selected-prompt="selectedPrompt" @select-prompt="selectedPrompt = $event" /> <AppDescription /> <AppFooter /> </div> </template> <script> import AppHeader from './components/AppHeader.vue'; import InputTextArea from './components/InputTextArea.vue'; import OutputTextArea from './components/OutputTextArea.vue'; import PromptSelector from './components/PromptSelector.vue'; import AppDescription from './components/AppDescription.vue'; import AppFooter from './components/AppFooter.vue'; export default { name: 'App', components: { AppHeader, InputTextArea, OutputTextArea, PromptSelector, AppDescription, AppFooter, }, // data, computed, methods... methods: { updateInputText(value) { this.inputText = value; }, // other methods... }, }; </script>

In this example, the InputTextArea.vue component receives inputText, inputLimit, and disableImproveButton as props. It emits an 'update-input' event when the input text is updated. In the App.vue, we listen to the update-input event and update the inputText data property accordingly.

You can apply the same pattern to the other components, passing down the necessary data and methods as props, and emitting events when needed. This will help you decouple your logic and make your components more reusable.

If you find that managing the state between components gets too complex, consider using Vuex to manage the application state in a more structured way.

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How to set a favicon for my app

To set a favicon for your app, follow these steps:

  1. Prepare your favicon image. Typically, a favicon is a small square image (usually 16x16, 32x32, or 48x48 pixels) in either PNG, GIF, or ICO format.

  2. Place the favicon image in the public folder of your Vue.js project. For example, if your favicon is called favicon.ico, place it in the public folder.

  3. In the public/index.html file, add a <link> element inside the <head> section, referencing the favicon file. If you placed favicon.ico in the public folder, your index.html should look like this:

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<!DOCTYPE html> <html lang="en"> <head> <!-- ... --> <link rel="icon" href="/favicon.ico" /> <!-- ... --> </head> <body> <!-- ... --> </body> </html>

Now, when you build and serve your Vue.js app, the favicon should appear in the browser's address bar and browser tabs.

If you want to support different devices and resolutions, you can create multiple favicon sizes (e.g., 16x16, 32x32, 48x48, etc.) and add <link> elements for each size. You can also use online favicon generators to create different sizes and formats from a single image, as well as generate the necessary <link> elements for your index.html.

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I want to remove unused libraries: vue-textarea-autosize, ionicons

To remove unused libraries from your project, follow these steps:

  1. Remove the package from your project dependencies: For vue-textarea-autosize, run:
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npm uninstall vue-textarea-autosize

For ionicons, run:

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npm uninstall ionicons
  1. Remove the imports and any references to the libraries in your code. For vue-textarea-autosize, search for any import statements that look like this:
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import VueTextareaAutosize from "vue-textarea-autosize";

Remove the import statement and any references to VueTextareaAutosize in your code.

For ionicons, search for any import statements that look like this:

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import "ionicons";

Remove the import statement and any references to Ionicons in your code.

  1. If the libraries were registered as global components or plugins, make sure to remove those registrations as well. Check your main.js (or equivalent) file for any lines like:
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app.use(VueTextareaAutosize);

or

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app.component("ion-icon", Ionicons);

Remove those lines.

  1. Save your changes and rebuild your project to ensure that everything is working correctly without the removed libraries.

Remember to double-check your code to ensure you've removed all references to the removed libraries before rebuilding your project.

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Create a README.md file based on app description

Here's a template for a README.md file based on your app description:

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# Write Like a Native Write Like a Native is a Vue.js web app that helps you improve your English text by using OpenAI's GPT-3. The app offers three types of prompts to choose from: - **Blog**: Improves the text in a way that makes it more suitable for a blog post. - **Message**: Adjusts the text to be more conversational, ideal for messaging with friends or colleagues. - **Correct**: Corrects grammar and punctuation errors in the text. ## How it works 1. Enter your text in the input text area. 2. Choose one of the three prompt options: Blog, Message, or Correct. 3. Click the "Improve" button. 4. The app will use OpenAI's GPT-3 to improve your text based on the chosen prompt. 5. The improved text will be displayed in the output text area. ## Requirements To use Write Like a Native, you need to have an OpenAI API key. If you don't have one, follow the instructions in the app to get your API key. Once you have the key, enter it in the app, and you're ready to start improving your text. ## Credits Write Like a Native is developed by [Sasha Petrov](https://petrov.substack.com/). Copyright &copy; 2023. All rights reserved.

You can modify this template as needed to better describe your app, add installation instructions, or provide any other relevant information.

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Add this meta description:

To add a meta description to your Vue.js app, you can follow these steps:

  1. Open the public/index.html file in your project directory.
  2. Locate the <head> section of the document.
  3. Inside the <head> section, add the following meta tag:
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<meta name="description" content="Write Like a Native is a web app that uses OpenAI's GPT-3 to improve your English text, making it more suitable for blog posts, messages, or correcting grammar and punctuation errors.">

Your updated <head> section should now look something like this:

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<head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width,initial-scale=1.0"> <meta name="description" content="Write Like a Native is a web app that uses OpenAI's GPT-3 to improve your English text, making it more suitable for blog posts, messages, or correcting grammar and punctuation errors."> <link rel="icon" href="<%= BASE_URL %>favicon.ico"> <title>Write Like a Native</title> </head>

This will add the meta description to your app, which can be helpful for search engine optimization (SEO) and providing a brief description of your app when shared on social media platforms.

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Add ‘Learn more’ link to app description. 

 By clicking on ‘Learn more’ show the text provided below. The text is hidden by default. When clicked change ‘Learn more’ to ‘Learn less’.

 ‘Learn less’ should hide the text. Make sure that functionality is SEO friendly. Provided text: If you're looking to improve your writing skills and create high-quality content, AI-powered writing assistants can be game-changers. From enhancing blog posts and articles to crafting clear and concise messages, artificial intelligence offers a wide range of tools to elevate your writing. In this article, we'll discuss how AI-based writing aids can help you achieve better communication, whether for personal or professional purposes. Artificial Intelligence for Clear and Concise Messages AI-driven message clarity helpers, like "Write like a native," can assist you in crafting natural and conversational messages. These tools focus on email drafting assistance, improving grammar and spelling, and ensuring your written communication is simple yet effective. By acting as an editor, spelling corrector, and grammar improver, AI writing aids help you sound like a native speaker in any messaging app or email. AI-Powered Blog Post and Article Enhancement Intelligent blog post editors and AI-based content optimization tools, such as "Write like a native," are designed to improve the quality and readability of your content on platforms like Substack or Medium. These AI-powered writing assistants work by refining your text paragraph by paragraph, ensuring your content is engaging, informative, and free of pretentious language. Error-Free Text Generation with AI AI-assisted proofreading tools and punctuation and style checkers, like "Write like a native," focus on correcting grammar, spelling, and punctuation to produce polished, error-free text. By simply providing a word, sentence, or paragraph, you'll receive the improved text without any additional explanations. This advanced writing support can be especially beneficial for non-native speakers aiming to improve their writing quality. In conclusion, AI-driven writing tools offer a wide range of assistance to elevate your written communication skills. From AI-powered writing assistants for blog posts and articles to tools that improve message clarity and error-free texts, the possibilities for better writing are endless. Embrace the power of AI-based writing aids and experience the difference in your writing today.

You can achieve this functionality by adding a showMore data property and toggling it when the "Learn more" or "Learn less" link is clicked. This will show or hide the additional text in a SEO friendly way. Here's how to do it:

  1. Add a showMore data property to your Vue.js app:
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data() { return { // ... other data properties ... showMore: false, }; },
  1. Add the "Learn more" / "Learn less" link and the additional text to your app description:
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<!-- App description --> <div class="app-description"> <!-- ... other description elements ... --> <a @click="showMore = !showMore" class="learn-more"> {{ showMore ? "Learn less" : "Learn more" }} </a> <div v-if="showMore" class="additional-text"> <p> If you're looking to improve your writing skills and create high-quality content, AI-powered writing assistants can be game-changers. From enhancing blog posts and articles to crafting clear and concise messages, artificial intelligence offers a wide range of tools to elevate your writing. In this article, we'll discuss how AI-based writing aids can help you achieve better communication, whether for personal or professional purposes. </p> <!-- ... other paragraphs ... --> <p> In conclusion, AI-driven writing tools offer a wide range of assistance to elevate your written communication skills. From AI-powered writing assistants for blog posts and articles to tools that improve message clarity and error-free texts, the possibilities for better writing are endless. Embrace the power of AI-based writing aids and experience the difference in your writing today. </p> </div> </div>
  1. Style the "Learn more" / "Learn less" link and the additional text as needed:
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.learn-more { /* Add your styles for the link */ } .additional-text { /* Add your styles for the additional text */ }

Now, when users click the "Learn more" link, the additional text will be shown, and the link text will change to "Learn less". Clicking the "Learn less" link will hide the additional text. Since the text is part of the HTML markup, it remains SEO friendly.

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Add a feedback button to header that opens https://twitter.com/deepnavy in new tab

To add a feedback button to the header that opens the Twitter link in a new tab, follow these steps:

  1. Add the "Feedback" button to the header in your HTML:
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<header class="flex items-center justify-between px-4 py-2"> <!-- ... other header elements ... --> <a href="https://twitter.com/deepnavy" target="_blank" rel="noopener noreferrer" class="feedback-btn" > Feedback </a> </header>
  1. Style the "Feedback" button as needed:
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.feedback-btn { /* Add your styles for the feedback button */ background-color: #1da1f2; color: #ffffff; padding: 8px 16px; border-radius: 4px; text-decoration: none; font-size: 14px; display: inline-block; }

Now, you should have a "Feedback" button in your header that opens the specified Twitter link in a new tab when clicked. The rel="noopener noreferrer" attribute helps to improve security and performance when opening the link in a new tab.

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How to install google analytics for my app?

To install Google Analytics in your Vue.js app, follow these steps:

  1. Sign in to your Google Analytics account or create a new one at https://analytics.google.com/.

  2. Click on "Admin" in the bottom-left corner, and then click on "Create Property" or "Create Account" if you haven't created an account yet. Follow the instructions to set up a new property.

  3. After setting up the property, you'll get a Tracking ID (in the format of "UA-XXXXXXXXX-X") and a tracking code snippet.

  4. Install the vue-gtag package in your Vue.js project by running:

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npm install vue-gtag
  1. Open your main.js or main.ts file and import the vue-gtag package. Then, use it with Vue by adding the following code:
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import { createApp } from "vue"; import App from "./App.vue"; import router from "./router"; import VueGtag from "vue-gtag"; const app = createApp(App); app.use(router); app.use(VueGtag, { config: { id: "UA-XXXXXXXXX-X", // Replace this with your actual Tracking ID }, }); app.mount("#app");
  1. Replace "UA-XXXXXXXXX-X" with your actual Google Analytics Tracking ID.

Now, Google Analytics will automatically track page views in your Vue.js app as users navigate through it. You can also track custom events and other interactions by following the vue-gtag documentation: https://github.com/MatteoGabriele/vue-gtag

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I generated a static website from my app using Render.com. I put the API key in Environment Variables or .env file, but it is still exposed in compiled js file on front end.

 It also has some logic, when we pick a particular prompt out of 3 to call OpenAI API. Help me moving part of api to a flask server. This is my vue js code that calls the API: """ Here is the improveText method from App.vue methods: { async improveText() { this.loading = true; const apiKey = this.$store.getters.getAPIKey; const openai = createOpenaiInstance(apiKey); const prompts = { correct: "I want you to act as a spelling corrector and grammar improver. I will send you a word, sentence, or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", teammate: "I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a message to my teammate in a messaging app or email. I want to sound like a native speaker but keep it simple, natural, and conversational. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", blog: "I want you to act as an editor, spelling corrector, and grammar improver. I’m writing a blog post for Substack or an article for Medium. I want to sound more like a native speaker but keep it simple and avoid words and phrases that may sound too pretentious. I will send you a sentence or paragraph, and you’ll send me the result. Reply only with the improved text and nothing else, do not write explanations.", }; const messages = [ { role: "system", content: prompts[this.selectedPrompt] }, { role: "user", content: this.inputText }, ]; const payload = { model: "gpt-3.5-turbo", messages: messages, // max_tokens: 200, }; try { const response = await openai.post("", payload); this.outputText = response.data.choices[0].message.content.trim(); } catch (error) { console.error(error); if (error.response &amp;&amp; error.response.status === 401) { this.outputText = "Please check if you entered the correct API key."; this.$store.commit("setInvalidApiKey", true); } else { this.outputText = "Error: Unable to fetch results"; } } finally { this.loading = false; this.syncTextAreaHeights(); } }, here is openai.js that I use to set up the API call: import axios from "axios"; const createOpenaiInstance = (apiKey) =&gt; { return axios.create({ baseURL: "https://api.openai.com/v1/chat/completions", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${apiKey}`, }, }); }; export default createOpenaiInstance; """

To move the API call to a Flask server, follow these steps:

  1. First, install Flask in your project folder by running:
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pip install flask
  1. Create a new file named app.py in your project folder, and add the following code to it:
pythonCopy code
from flask import Flask, request, jsonify import os import requests app = Flask(__name__) @app.route('/api/improve-text', methods=['POST']) def improve_text(): data = request.get_json() selected_prompt = data.get('selectedPrompt') input_text = data.get('inputText') # Add your OpenAI API key as an environment variable api_key = os.getenv("OPENAI_API_KEY") headers = { "Content-Type": "application/json", "Authorization": f"Bearer {api_key}", } prompts = { "correct": "...", "teammate": "...", "blog": "...", } messages = [ {"role": "system", "content": prompts[selected_prompt]}, {"role": "user", "content": input_text}, ] payload = { "model": "gpt-3.5-turbo", "messages": messages, } url = "https://api.openai.com/v1/chat/completions" response = requests.post(url, headers=headers, json=payload) if response.status_code == 200: return jsonify(response.json()) else: return jsonify({"error": "Unable to fetch results"}), 500 if __name__ == '__main__': app.run(host='0.0.0.0', debug=True)
  1. Now, update your openai.js file to point to the Flask server:
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import axios from "axios"; const createOpenaiInstance = () => { return axios.create({ baseURL: "http://localhost:5000/api", headers: { "Content-Type": "application/json", }, }); }; export default createOpenaiInstance;
  1. Update the improveText() method in App.vue to remove the API key from the frontend:
javascriptCopy code
async improveText() { this.loading = true; const openai = createOpenaiInstance(); const payload = { selectedPrompt: this.selectedPrompt, inputText: this.inputText, }; try { const response = await openai.post("/improve-text", payload); this.outputText = response.data.choices[0].message.content.trim(); } catch (error) { console.error(error); if (error.response && error.response.status === 401) { this.outputText = "Please check if you entered the correct API key."; this.$store.commit("setInvalidApiKey", true); } else { this.outputText = "Error: Unable to fetch results"; } } finally { this.loading = false; this.syncTextAreaHeights(); } },
  1. Make sure you set the OPENAI_API_KEY environment variable before running the Flask server:
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export OPENAI_API_KEY=your_openai_api_key_here
  1. Run the Flask server with:
bashCopy code
python app.py

Now, your Vue.js app will call your Flask server, which in turn will call the OpenAI API. This way, you're hiding the API key on the server side and not exposing it on the client side. Remember to replace http://localhost:5000 with the URL of your deployed Flask server when you deploy your Vue.js app to production.

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Please use openAi python library and chat completion model

First, install the openai Python library in your project folder by running:

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pip install openai

Then, update the app.py file to use the OpenAI Python library and the chat completion model:

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from flask import Flask, request, jsonify import os import openai app = Flask(__name__) # Load the OpenAI API key from an environment variable openai.api_key = os.getenv("OPENAI_API_KEY") @app.route('/api/improve-text', methods=['POST']) def improve_text(): data = request.get_json() selected_prompt = data.get('selectedPrompt') input_text = data.get('inputText') prompts = { "correct": "...", "teammate": "...", "blog": "...", } messages = [ {"role": "system", "content": prompts[selected_prompt]}, {"role": "user", "content": input_text}, ] payload = { "model": "gpt-3.5-turbo", "messages": messages, } try: response = openai.ChatCompletion.create(**payload) return jsonify(response) except Exception as e: print(e) return jsonify({"error": "Unable to fetch results"}), 500 if __name__ == '__main__': app.run(host='0.0.0.0', debug=True)

Now, the Flask server uses the OpenAI Python library and the chat completion model. The rest of the code remains the same as in the previous answer. Remember to set the OPENAI_API_KEY environment variable before running the Flask server:

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export OPENAI_API_KEY=your_openai_api_key_here

Then, run the Flask server with:

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python app.py

Your Vue.js app will continue to call your Flask server, which in turn will call the OpenAI API using the OpenAI Python library.

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how do I put OPENAI_API_KEY in .env file?

To use the .env file to store your OPENAI_API_KEY, you can follow these steps:

  1. Install the python-dotenv library in your project folder:
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pip install python-dotenv
  1. Create a .env file in the same directory as your app.py:
makefileCopy code
OPENAI_API_KEY=your_openai_api_key_here
  1. Update your app.py to load the environment variables from the .env file using the load_dotenv function:
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from flask import Flask, request, jsonify import os import openai from dotenv import load_dotenv # Load environment variables from the .env file load_dotenv() app = Flask(__name__) # Load the OpenAI API key from an environment variable openai.api_key = os.getenv("OPENAI_API_KEY") # ... rest of the code

Now, when you run the Flask server, it will load the OPENAI_API_KEY from the .env file.

Make sure not to commit the .env file to your version control system (such as Git). Add the .env file to your .gitignore file to prevent accidentally committing it:

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# .gitignore .env

This will keep your API key secure and out of your version control history.

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I got this error when running the app: * Serving Flask app 'app' * Debug mode: on Address already in use Port 5000 is in use by another program. Either identify and stop that program, or start the server with a different port. On macOS, try disabling the 'AirPlay Receiver' service from System Preferences -&gt; Sharing.

This error occurs because port 5000 is already being used by another process. To resolve this, you have two options:

  1. Find and terminate the process using port 5000:

On Linux and macOS, you can use the lsof command to find the process using port 5000:

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lsof -i :5000

This will display the process information, including the process ID (PID). To terminate the process, use the kill command followed by the PID:

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kill <PID>

Replace <PID> with the actual process ID found from the lsof command.

On Windows, you can use the netstat command to find the process using port 5000:

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netstat -ano | findstr :5000

This will display the process information, including the process ID (PID). To terminate the process, use the taskkill command followed by the PID:

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taskkill /F /PID <PID>

Replace <PID> with the actual process ID found from the netstat command.

  1. Change the port for your Flask application:

In your app.py file, update the app.run() line to use a different port number. For example, to use port 8080, change the line to:

pythonCopy code
app.run(debug=True, port=8080)

Now, when you start your Flask server, it will run on the specified port (e.g., 8080) instead of the default port 5000. Make sure to update your API calls in the frontend to use the new port number.

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How can I test my flask server without connecting it to front end for now?

You can test your Flask server without connecting it to the frontend by using a tool like curl in the command line or an API testing tool like Postman.

First, make sure your Flask server is running. If it is running on localhost with port 5000, you can test an endpoint using curl in the command line. For example, if you have an endpoint named /improve_text, you can make a POST request like this:

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curl -X POST -H "Content-Type: application/json" -d '{"input_text": "your input text here", "selected_prompt": "correct"}' http://localhost:5000/improve_text

Replace "your input text here" with the text you want to improve, and "selected_prompt" with the desired prompt type.

If you prefer to use Postman, follow these steps:

  1. Download and install Postman from their website.
  2. Open Postman and create a new request by clicking the "+" button.
  3. In the new request tab, select the "POST" method from the dropdown menu.
  4. Enter the URL of your endpoint (e.g., http://localhost:5000/improve_text).
  5. Click on the "Body" tab below the URL, and select "raw" and "JSON" from the dropdown menu.
  6. Enter your JSON payload in the text box, for example:
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{ "input_text": "your input text here", "selected_prompt": "correct" }
  1. Replace "your input text here" with the text you want to improve, and "selected_prompt" with the desired prompt type.
  2. Click the "Send" button to make the POST request to your Flask server.

Both methods will return the response from your Flask server, allowing you to test and debug the server without connecting it to the frontend.

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I got this mistake in postman: 404 Not Found <h1>Not Found</h1> <p>The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.</p> But I see some activity in flask terminal: 127.0.0.1 - - [06/May/2023 09:48:21] "GET /improve_text HTTP/1.1" 404 - 127.0.0.1 - - [06/May/2023 09:49:06] "POST /improve_text HTTP/1.1" 404 - 127.0.0.1 - - [06/May/2023 09:49:57] "POST /api/improve_text HTTP/1.1" 404 -

It seems that your Flask server cannot find the /improve_text route. Double-check your Flask server code and make sure the route is correctly defined.

Here's an example of how the /improve_text route should be defined in your app.py file:

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from flask import Flask, request, jsonify import openai app = Flask(__name__) # Load your API key from an environment variable or secret management service openai.api_key = "your_openai_api_key_here" @app.route("/improve_text", methods=["POST"]) def improve_text(): # Your logic for handling the text improvement and OpenAI API call # Don't forget to return a response, e.g., the improved text as JSON return jsonify({"improved_text": "your_improved_text_here"}) if __name__ == "__main__": app.run(debug=True)

Make sure your route has the @app.route decorator with the correct path (/improve_text) and the proper HTTP method (methods=["POST"]). Also, check that the function name matches the one in the decorator, in this case, improve_text.

If you still encounter issues, please provide your updated app.py code, and I'll help you identify the problem.

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Now I got this error: 415 Unsupported Media Type <h1>Unsupported Media Type</h1> <p>Did not attempt to load JSON data because the request Content-Type was not 'application/json'.</p>

The error is caused by the content type of the request. To fix it, make sure you're sending a JSON payload with the correct content type in your Postman request.

In Postman:

  1. Set the request method to POST.
  2. Enter the URL of your Flask endpoint (e.g., http://localhost:5000/improve_text).
  3. Click on the "Body" tab below the URL input.
  4. Select the "raw" radio button.
  5. In the dropdown menu to the right of the radio buttons, select "JSON".
  6. Enter your JSON payload in the text area, for example:
jsonCopy code
{ "prompt": "blog", "input_text": "This is a sample text to be improved." }
  1. Click the "Send" button to make the request.

Make sure your Flask server is running, and you should now receive a JSON response without the "Unsupported Media Type" error.

If you still encounter issues, please provide more information about the request you're sending with Postman, and I'll help you troubleshoot the problem.

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Now I get this error: Traceback (most recent call last): File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 2213, in __call__ return self.wsgi_app(environ, start_response) File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 2193, in wsgi_app response = self.handle_exception(e) File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 2190, in wsgi_app response = self.full_dispatch_request() File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 1486, in full_dispatch_request rv = self.handle_user_exception(e) File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 1484, in full_dispatch_request rv = self.dispatch_request() File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/venv/lib/python3.10/site-packages/flask/app.py", line 1469, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) File "/Users/oleksandr/dev/test-prj/writelikenativ-backend/my_module/app.py", line 26, in improve_text {"role": "system", "content": prompts[selected_prompt]}, KeyError: None

It seems that the selected_prompt variable is None, which causes a KeyError when trying to access the corresponding value in the prompts dictionary. This could be happening if the request payload you sent from Postman doesn't have the "prompt" key or its value is null.

To handle this case, you can add a check to ensure that the selected_prompt variable has a value before accessing the prompts dictionary.

Update your app.py by adding a check for selected_prompt:

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@app.route('/improve_text', methods=['POST']) def improve_text(): data = request.get_json() selected_prompt = data.get("prompt") input_text = data.get("input_text") if not selected_prompt or not input_text: return jsonify({"error": "Missing prompt or input_text"}), 400 # Rest of the code...

Now, if the "prompt" or "input_text" key is missing or has a null value in the request payload, the server will return a 400 Bad Request status code with an error message.

Make sure to send a valid payload from Postman, including both "prompt" and "input_text" keys with proper values:

jsonCopy code
{ "prompt": "blog", "input_text": "This is a sample text to be improved." }
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When I tried to call my flask server api from my vue js app, I got this error: cess to XMLHttpRequest at 'http://localhost:8080/api/improve-text' from origin 'http://localhost:5173' has been blocked by CORS policy: Response to preflight request doesn't pass access control check: No 'Access-Control-Allow-Origin' header is present on the requested resource.

This error occurs because your Flask server does not allow Cross-Origin Resource Sharing (CORS) by default. To allow CORS, you need to install the Flask-CORS package and enable CORS on your Flask app.

  1. Install the Flask-CORS package:
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pip install flask-cors
  1. Update your app.py file to enable CORS:
pythonCopy code
from flask import Flask, request, jsonify from flask_cors import CORS app = Flask(__name__) CORS(app) # The rest of your app.py code

Now your Flask server should accept requests from your Vue.js app running on a different port or domain.

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How to make sure only my app will be able to call the api and not others?

To restrict access to your API only to your specific app, you can use the CORS package to define a list of allowed origins. Here's how you can do that:

  1. Update your app.py file to allow only specific origins:
pythonCopy code
from flask import Flask, request, jsonify from flask_cors import CORS app = Flask(__name__) # Replace 'http://your-app-domain.com' with your app's domain cors = CORS(app, resources={r"/api/*": {"origins": ["http://your-app-domain.com"]}}) # The rest of your app.py code

Now, only requests from the specified domain(s) will be allowed to access your API. Keep in mind that CORS is not a security measure, and more determined attackers could still bypass it. You should always implement proper authentication and authorization mechanisms to protect your API from unauthorized access.

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How to deploy my flask app with Render.com, so that it works correctly with my VUE js app. And how do I handle local and production addresses in both frondend and backend? My production one is https://writelikenative.com/

To deploy your Flask app with Render.com, follow these steps:

  1. Create a requirements.txt file in your Flask app's root directory, listing all the required packages and their versions.
  2. Create a Procfile in your Flask app's root directory with the following content:
makefileCopy code
web: gunicorn app:app

This tells Render to use gunicorn as the WSGI server for your Flask app. Make sure to replace app:app with the correct import path for your Flask app instance.

  1. Push your Flask app to a Git repository (e.g., GitHub or GitLab).
  2. Sign up or log in to your Render account.
  3. Click "New Service" and then "Web Service".
  4. Connect your Git repository and choose the branch you want to deploy.
  5. Enter the following build command: pip install -r requirements.txt.
  6. Click "Create" to deploy your Flask app.

Now, to handle local and production addresses in both frontend and backend:

In your Vue.js app:

  1. Create a .env file in the root of your Vue.js project.
  2. Add the following environment variables:
arduinoCopy code
VUE_APP_API_BASE_URL_LOCAL=http://localhost:5000 VUE_APP_API_BASE_URL_PROD=https://your-flask-app-subdomain.onrender.com

Replace https://your-flask-app-subdomain.onrender.com with the actual URL of your deployed Flask app on Render.

  1. In your Vue.js app, you can now access the appropriate API base URL based on the environment (local or production):
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const apiBaseUrl = process.env.NODE_ENV === "production" ? process.env.VUE_APP_API_BASE_URL_PROD : process.env.VUE_APP_API_BASE_URL_LOCAL;

In your Flask app:

  1. Add the following environment variables to your .env file:
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FLASK_APP_BASE_URL_LOCAL=http://localhost:5000 FLASK_APP_BASE_URL_PROD=https://your-flask-app-subdomain.onrender.com
  1. In your Flask app, you can now access the appropriate base URL based on the environment:
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import os app_base_url = os.environ.get("FLASK_APP_BASE_URL_PROD") if os.environ.get("FLASK_ENV") == "production" else os.environ.get("FLASK_APP_BASE_URL_LOCAL")

Remember to replace https://your-flask-app-subdomain.onrender.com with the actual URL of your deployed Flask app on Render.

Finally, update your CORS settings in the Flask app to allow requests from your production domain:

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from flask import Flask, request, jsonify from flask_cors import CORS app = Flask(__name__) allowed_origins = ["http://localhost:8080", "https://writelikenative.com"] cors = CORS(app, resources={r"/api/*": {"origins": allowed_origins}}) # The rest of your app.py code

This allows both your local Vue.js app and the production app at https://writelikenative.com to make requests to your Flask API.

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What is the content of requirements.txt

The requirements.txt file should list all the Python packages required for your Flask app to run properly, along with their respective versions. Based on your previous messages, your requirements.txt file might look like this:

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Flask==2.1.1 Flask-Cors==3.1.1 gunicorn==20.1.0 openai==0.27.0 python-dotenv==0.19.2

Make sure to adjust the version numbers according to the actual versions of the packages you are using. You can find the versions of the packages installed in your virtual environment by running pip freeze.

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I want the debug mode on for local environment, but turned off for production if __name__ == '__main__': app.run(debug=True)

To achieve this, you can use the os.environ.get() function to check the value of an environment variable. You can set an environment variable named FLASK_ENV with the values development for the local environment and production for the production environment.

First, update your .env file to include the FLASK_ENV variable:

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FLASK_ENV=development

Next, in your Flask app, use the following code:

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import os from dotenv import load_dotenv load_dotenv() app = Flask(__name__) # ... if __name__ == '__main__': if os.environ.get("FLASK_ENV") == "development": app.run(debug=True) else: app.run(debug=False)

Now, your Flask app will run in debug mode when the FLASK_ENV variable is set to development, and without debug mode when it's set to production or any other value.

On the production server, you can set the FLASK_ENV environment variable to production. For Render.com, you can add it as an environment variable in your service settings.

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How to set process.env.NODE_ENV to the right value when you are not in production?

In a Vue.js project, process.env.NODE_ENV is automatically set to the appropriate value based on the current build mode. By default, there are two build modes: development and production. When running your development server, the NODE_ENV is set to 'development', and when building for production, it is set to 'production'.

If you want to access this value in your Vue.js app, you can do so by referring to process.env.NODE_ENV. For example:

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if (process.env.NODE_ENV === 'development') { console.log('Running in development mode'); } else if (process.env.NODE_ENV === 'production') { console.log('Running in production mode'); }

To run your development server, use the command:

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npm run serve

To build for production, use the command:

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npm run build

If you want to define your custom environment variables, you can create .env files for different build modes. For example, create .env.development and .env.production files in your project root folder, and set environment variables in these files:

.env.development:

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VUE_APP_API_URL=http://localhost:8080

.env.production:

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VUE_APP_API_URL=https://api.example.com

Now you can access these variables in your app using process.env.VUE_APP_API_URL. Vue CLI will automatically load the correct environment variables based on the current build mode.

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Can flask check the environment automatically without the need to set FLASK_ENV variable?

Flask does not automatically detect the environment without setting the FLASK_ENV variable. However, you can set up a simple check in your Flask app to determine if it's running in a production environment based on the presence of an environment variable or a specific file.

For example, you can check if a .env.production file exists in your project directory and set the app.config['ENV'] value accordingly:

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import os from flask import Flask app = Flask(__name__) if os.path.exists('.env.production'): app.config['ENV'] = 'production' else: app.config['ENV'] = 'development' if app.config['ENV'] == 'production': app.debug = False else: app.debug = True

This method assumes that the .env.production file is present only in the production environment. If you deploy your application with a platform like Render.com, you can include the .env.production file only in the production branch or during the deployment process.

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When I tried to deploy the app on Render.com I got this error: May 6 12:18:48 PM ==&gt; Starting service with 'gunicorn app:app' May 6 12:18:50 PM Traceback (most recent call last): May 6 12:18:50 PM File "/opt/render/project/src/.venv/bin/gunicorn", line 8, in May 6 12:18:50 PM sys.exit(run()) May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 67, in run May 6 12:18:50 PM WSGIApplication("%(prog)s [OPTIONS] [APP_MODULE]").run() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 231, in run May 6 12:18:50 PM super().run() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 72, in run May 6 12:18:50 PM Arbiter(self).run() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/arbiter.py", line 58, in __init__ May 6 12:18:50 PM self.setup(app) May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/arbiter.py", line 118, in setup May 6 12:18:50 PM self.app.wsgi() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 67, in wsgi May 6 12:18:50 PM self.callable = self.load() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 58, in load May 6 12:18:50 PM return self.load_wsgiapp() May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 48, in load_wsgiapp May 6 12:18:50 PM return util.import_app(self.app_uri) May 6 12:18:50 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/util.py", line 359, in import_app May 6 12:18:50 PM mod = importlib.import_module(module) May 6 12:18:50 PM File "/opt/render/project/python/Python-3.10.9/lib/python3.10/importlib/__init__.py", line 126, in import_module May 6 12:18:50 PM return _bootstrap._gcd_import(name[level:], package, level) May 6 12:18:50 PM File "", line 1050, in _gcd_import May 6 12:18:50 PM File "", line 1027, in _find_and_load May 6 12:18:50 PM File "", line 1004, in _find_and_load_unlocked May 6 12:18:50 PM ModuleNotFoundError: No module named 'app' May 6 12:19:01 PM ==&gt; Starting service with 'gunicorn app:app' May 6 12:19:03 PM Traceback (most recent call last): May 6 12:19:03 PM File "/opt/render/project/src/.venv/bin/gunicorn", line 8, in May 6 12:19:03 PM sys.exit(run()) May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 67, in run May 6 12:19:03 PM WSGIApplication("%(prog)s [OPTIONS] [APP_MODULE]").run() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 231, in run May 6 12:19:03 PM super().run() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 72, in run May 6 12:19:03 PM Arbiter(self).run() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/arbiter.py", line 58, in __init__ May 6 12:19:03 PM self.setup(app) May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/arbiter.py", line 118, in setup May 6 12:19:03 PM self.app.wsgi() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/base.py", line 67, in wsgi May 6 12:19:03 PM self.callable = self.load() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 58, in load May 6 12:19:03 PM return self.load_wsgiapp() May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 48, in load_wsgiapp May 6 12:19:03 PM return util.import_app(self.app_uri) May 6 12:19:03 PM File "/opt/render/project/src/.venv/lib/python3.10/site-packages/gunicorn/util.py", line 359, in import_app May 6 12:19:03 PM mod = importlib.import_module(module) May 6 12:19:03 PM File "/opt/render/project/python/Python-3.10.9/lib/python3.10/importlib/__init__.py", line 126, in import_module May 6 12:19:03 PM return _bootstrap._gcd_import(name[level:], package, level) May 6 12:19:03 PM File "", line 1050, in _gcd_import May 6 12:19:03 PM File "", line 1027, in _find_and_load May 6 12:19:03 PM File "", line 1004, in _find_and_load_unlocked May 6 12:19:03 PM ModuleNotFoundError: No module named 'app'

The error you're encountering (ModuleNotFoundError: No module named 'app') is because Gunicorn cannot find the 'app' module. To fix this, make sure the app module is properly defined and in the correct location.

First, ensure your Flask application is defined in a file named app.py in your project root directory. The structure should look like this:

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my_project/ app.py requirements.txt ...

Inside app.py, make sure the Flask app instance is named app, like this:

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from flask import Flask app = Flask(__name__) # Your route definitions and other code go here if __name__ == '__main__': app.run()

If your app is defined inside a different file or a subdirectory, you need to update the gunicorn command in your render.yaml file to reflect the correct path. For example, if your Flask app is defined in my_module/app.py, update the gunicorn command like this:

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services: - type: web name: your-app-name env: python buildCommand: pip install -r requirements.txt startCommand: gunicorn my_module.app:app ...

Remember to replace my_module with the actual name of your module or subdirectory.

Once you've made the necessary changes, try redeploying your app on Render.com. If you still encounter issues, double-check your file structure and gunicorn command to ensure they're correct.