Creating Chat GPT Applications

It’s fun creating Chat GPT applications for SaaS and user end tools. This example template is a simple text input UI with the capability of allowing an output via ChatGPT via openAI.

The output below is the end result without CSS <style> tags.

In this example:

  • HTML is used to structure the page, including an input textarea, a button to trigger text generation, and a div to display the output.
  • CSS is used for basic styling to make the interface look neat and organized.
  • JavaScript contains a function generateText() which sends a POST request to the server endpoint “/generate” with the input text from the textarea. Upon receiving the response, it updates the output box with the generated text.

You would need to set up a server endpoint (“/generate”) to handle the request and interact with the OpenAI API. This server-side code would be responsible for calling the GPT API with the provided text and returning the generated output.

It’s the kind of work CookeCorp can do for prospective interested parties that want to develop their own platform for interacting with AI.

Example UI - GPT API Template

This application is missing API KEYS, so it won't work.


Development for this kind of project requires substantial financial investment and continued fiscal maintenance. However current trending developments thrust the use of A.I into the spotlight. Businesses globally are trying to figure out ways they can implement A.I into their processes.

CookeCorp already has frameworks for implementing various solutions for a plethora of different industry sectors. Giving our clients an edge with our knowledge of implementing these systems into application specific solutions.

 

				
					<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GPT API Demo</title>
<style>
    body {
        font-family: Arial, sans-serif;
        margin: 0;
        padding: 0;
        display: flex;
        justify-content: center;
        align-items: center;
        height: 100vh;
        background-color: #f4f4f4;
    }
    .container {
        width: 80%;
        max-width: 600px;
        border: 1px solid #ccc;
        border-radius: 5px;
        padding: 20px;
        box-sizing: border-box;
        background-color: #fff;
    }
    .input-box {
        margin-bottom: 20px;
    }
    .output-box {
        border: 1px solid #ccc;
        border-radius: 5px;
        padding: 10px;
        min-height: 100px;
        background-color: #f9f9f9;
    }
</style>
</head>
<body>
<div class="container">
    <h2>GPT API Demo</h2>
    <div class="input-box">
        <label for="inputText">Input Text:</label><br>
        <textarea id="inputText" rows="4" cols="50"></textarea>
    </div>
    <button onclick="generateText()">Generate Text</button>
    <div class="output-box" id="outputText"></div>
</div>

<script>
    async function generateText() {
        const inputText = document.getElementById('inputText').value;
        const response = await fetch('/generate', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({ text: inputText })
        });
        const result = await response.json();
        document.getElementById('outputText').innerText = result.output;
    }
</script>
</body>
</html>
				
			

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