In this article, we dive into the world of modern AI technology, particularly focusing on plugins for ChatGPT. We’ll explore how these plugins can be useful, with concrete examples in Swedish language learning, calendar booking, and SEO optimization. If you’re curious about how AI can be integrated into web applications, this post is for you!
What is ChatGPT and its Plugins?
For those unfamiliar, ChatGPT is one of the most advanced conversational AIs created by OpenAI. Plugins allow for custom additions or features to the existing ChatGPT model, similar to apps for your smartphone.
1. Learn Swedish with ChatGPT
First, we looked at a simple plugin offering an interactive tutor to help users learn Swedish. Through conversation, users can interact with the AI to understand the meaning of words or phrases in Swedish.
class SwedishTutorPlugin:
def handle(self, user_input):
if user_input == "Hej":
return "Hello (English) | Hej (Swedish)"
else:
return "Sorry, I don't have a translation for that."
plugin = SwedishTutorPlugin()
print(plugin.handle("Hej"))2. Calendar Booking Plugin
This more advanced plugin is designed to help users book meetings in their calendar. The user is guided through a series of questions to determine the details of their calendar event.
class CalendarBookingPlugin:
def __init__(self):
self.state = "IDLE"
self.event_details = {'title': '', 'date': '', 'time': ''}
def handle(self, user_input):
if self.state == "IDLE":
self.state = "ASK_TITLE"
return "What is the title of the meeting?"
elif self.state == "ASK_TITLE":
self.event_details['title'] = user_input
self.state = "ASK_DATE"
return "What is the date of the meeting?"
elif self.state == "ASK_DATE":
self.event_details['date'] = user_input
self.state = "ASK_TIME"
return "What time is the meeting?"
elif self.state == "ASK_TIME":
self.event_details['time'] = user_input
self.state = "CONFIRM"
return f"Meeting '{self.event_details['title']}' scheduled for {self.event_details['date']} at {self.event_details['time']}."
else:
return "I don't understand."
plugin = CalendarBookingPlugin()
response = plugin.handle("Boka ett nytt möte")3. SEO Optimization Plugin
With the increasing importance of digital presence, we created an SEO optimization plugin in Python. This plugin analyzes a given text and provides suggestions on how to improve SEO.
class SEOPlugin:
def __init__(self):
self.keywords = []
def handle(self, user_input):
# Simple keyword extraction logic
self.keywords = user_input.split()
return f"Suggested keywords: {', '.join(self.keywords)}"
plugin = SEOPlugin()For web applications, we then translated this logic into JavaScript:
class SEOPlugin {
constructor() {
this.keywords = [];
}
setKeywords(input) {
this.keywords = input.split(' ');
}
analyzeText(text) {
this.setKeywords(text);
return `Suggested keywords: ${this.keywords.join(', ')}`;
}
}
let plugin = new SEOPlugin();Conclusion
Using ChatGPT for SEO: A Web-Based Keyword Extractor
In today’s digital world, the right keywords can make a significant difference in getting your website noticed. But how do you know which keywords are most relevant? ChatGPT might be the answer! In this article, we go through how you can create a web-based keyword extractor that leverages the power of ChatGPT.
1. What We Wanted to Achieve
We aimed to build a simple website where users can input a title and description. The tool would then generate SEO keywords for them. By integrating ChatGPT, we could offer keywords based not only on word frequency but also on the actual meaning of the text.
2. Design
Our interface is simple. The user is presented with fields for a title and description, as well as a button to extract keywords. When the button is clicked, the suggested keywords are displayed on the screen.
3. Code
Our project consisted of three main components: HTML for the interface, CSS for styling, and JavaScript for interactivity and integration with ChatGPT.
a. HTML
We created a clean and minimalist design with form components:
<!DOCTYPE html>
<html lang="sv">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SEO Nyckelord Extractor</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<div class="container">
<h1>SEO Nyckelord Extractor</h1>
<p>
Detta verktyg hjälper dig att identifiera viktiga nyckelord från rubriker och beskrivningar av dina sidor, produkter eller inlägg. Med integrationen av ChatGPT får vi inte bara nyckelord baserat på ordens frekvens, utan även baserat på den faktiska betydelsen av texten.
</p>
<label for="title">Rubrik:</label>
<input type="text" id="title">
<label for="description">Beskrivning:</label>
<textarea id="description" rows="10"></textarea>
<button onclick="extractAndShowKeywords()">Extrahera Nyckelord</button>
<div id="feedback"></div>
</div>
<script src="script.js"></script>
</body>
</html>b. CSS
Styling was kept simple and elegant to avoid distracting the user:
body {
font-family: "Orbitron", sans-serif;
line-height: 1.6;
background-color: #f7f7f7;
color: #333;
margin: 0;
padding: 0;
}
.container {
width: 90%;
max-width: 600px;
margin: 50px auto;
padding: 20px;
box-shadow: 0px 4px 20px rgba(0, 0, 0, 0.1);
background-color: #ffffff;
border-radius: 5px;
}
label {
display: block;
margin-top: 20px;
font-weight: bold;
}
input,
textarea {
width: 100%;
padding: 10px;
margin-top: 5px;
border: 1px solid #e0e0e0;
border-radius: 4px;
font-size: 16px;
transition: border 0.3s;
}
input:focus,
textarea:focus {
border-color: #45a050;
outline: none;
}
button {
display: block;
margin: 20px 0;
padding: 10px 20px;
background-color: #45a050;
color: white;
border: none;
border-radius: 4px;
cursor: pointer;
transition: background-color 0.3s;
}
button:hover {
background-color: #39ff14;
}
#feedback {
margin-top: 20px;
font-weight: bold;
}c. JavaScript
This is the heart of our application. Using JavaScript, we can call ChatGPT and return relevant keywords:
function extractKeywordsWithGPT(title, description) {
const combinedText = `${title} ${description}`;
// Send combinedText to ChatGPT (assume we have an API function for this)
return callGPTAPIForKeywords(combinedText).then((keywords) => {
return keywords;
});
}
function callGPTAPIForKeywords(text) {
// Assume you have an endpoint (API URL) where ChatGPT runs
const apiEndpoint = "YOUR_API_ENDPOINT_HERE";
return fetch(apiEndpoint, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
prompt: `Extract keywords from the following text: "${text}"`,
}),
})
.then((response) => response.json())
.then((data) => {
// Assume the response contains a string with comma-separated keywords
return data.keywords;
});
}
function extractAndShowKeywords() {
const title = document.getElementById("title").value;
const description = document.getElementById("description").value;
extractKeywordsWithGPT(title, description).then((keywords) => {
document.getElementById("feedback").innerHTML = `Suggested Keywords: <strong>${keywords}</strong>`;
});
}Closing Thoughts
The integration of ChatGPT with a simple web solution demonstrates AI’s potential in the field of search engine optimization. Given the ever-changing algorithms and increasing online competition, such tools can play a critical role in helping content creators improve their online visibility.
Now, we have included code examples for each scenario to give a fuller picture of how these plugins can look and function.
Pricing and Info about OpenAI API
To explore the potential of ChatGPT and other advanced AI models, check out OpenAI’s API platform. It offers access to the latest models and guidelines for best practices in using the technology securely and effectively.
By embracing these AI-driven tools, web
