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aa.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Acheive Anything</title>
<style>
/* Styles for the particle effect */
body {
margin: 0;
overflow: hidden;
background-color: #111;
}
#particles-js {
position: fixed;
width: 100%;
height: 100%;
z-index: -1;
}
/* Styles for the modal content */
.modal-content {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
padding: 20px;
background-color: #333;
box-shadow: 0px 0px 20px rgba(255, 255, 255, 0.5);
border-radius: 20px;
width: 600px; /* Increased width */
max-height: 600px; /* Maximum height */
overflow-y: auto; /* Enable vertical scrolling if needed */
color: #fff;
}
/* Style for input fields */
textarea, input[type="text"] {
width: calc(100% - 20px);
height: 100px;
padding: 10px;
margin: 5px 0;
border: none;
border-radius: 5px;
background-color: #444;
color: #fff;
resize: none;
}
textarea:focus, input[type="text"]:focus {
outline: none;
}
/* Other CSS styles... */
</style>
</head>
<body>
<!-- Particle effect background -->
<div id="particles-js"></div>
<!-- Modal content -->
<div class="modal-content">
<div class="questionbox">
<h3>Question:</h3>
<textarea id="input-text" placeholder="Type your question here..." rows="4" cols="50"></textarea>
</div>
<div class="Article1">
<h3>Article/Resource (optional)</h3>
<textarea id="article-input-text" placeholder="Paste your article here..." rows="4" cols="50"></textarea>
</div>
<button id="submit-button">Submit</button>
<div id="output" class="output"></div>
</div>
<!-- Particle effect script -->
<script src="https://cdn.jsdelivr.net/particles.js/2.0.0/particles.min.js"></script>
<script>
particlesJS("particles-js", {
"particles": {
"number": {
"value": 80,
"density": {
"enable": true,
"value_area": 800
}
},
"color": {
"value": "#ffffff"
},
"shape": {
"type": "circle",
"stroke": {
"width": 0,
"color": "#000000"
},
"polygon": {
"nb_sides": 5
},
"image": {
"src": "img/github.svg",
"width": 100,
"height": 100
}
},
"opacity": {
"value": 0.5,
"random": false,
"anim": {
"enable": false,
"speed": 1,
"opacity_min": 0.1,
"sync": false
}
},
"size": {
"value": 3,
"random": true,
"anim": {
"enable": false,
"speed": 40,
"size_min": 0.1,
"sync": false
}
},
"line_linked": {
"enable": true,
"distance": 150,
"color": "#ffffff",
"opacity": 0.4,
"width": 1
},
"move": {
"enable": true,
"speed": 6,
"direction": "none",
"random": false,
"straight": false,
"out_mode": "out",
"bounce": false,
"attract": {
"enable": false,
"rotateX": 600,
"rotateY": 1200
}
}
},
"interactivity": {
"detect_on": "canvas",
"events": {
"onhover": {
"enable": true,
"mode": "repulse"
},
"onclick": {
"enable": true,
"mode": "push"
},
"resize": true
},
"modes": {
"grab": {
"distance": 400,
"line_linked": {
"opacity": 1
}
},
"bubble": {
"distance": 400,
"size": 40,
"duration": 2,
"opacity": 8,
"speed": 1
},
"repulse": {
"distance": 200,
"duration": 0.4
},
"push": {
"particles_nb": 4
},
"remove": {
"particles_nb": 2
}
}
},
"retina_detect": true
});
</script>
<!-- JavaScript functionality -->
<script>
const baseUrl = 'https://api.openai.com/v1/chat/completions';
const aws = require('aws-sdk');
let s3 = new aws.S3({
accessKeyId: process.env.APIKEY,
});
const submitButton = document.getElementById("submit-button");
const inputText = document.getElementById("input-text");
const outputElement = document.getElementById("output");
const ArticleBox = document.getElementById("article-input-text");
submitButton.addEventListener("click", async () => {
// If the box is filled, make the article request
if (ArticleBox.value.length > 0) {
articlechatGPTrequest();
} else {
chatGPTrequest();
}
});
// GPT-3 request without article
function chatGPTrequest() {
const question = inputText.value.trim();
if (!question) {
outputElement.textContent = "Please enter a question.";
return;
}
outputElement.textContent = "Loading...";
fetchGPTResponse(question);
}
// GPT-3 request with article
async function articlechatGPTrequest() {
const question = inputText.value.trim();
if (!question) {
outputElement.textContent = "Please enter a question.";
return;
}
outputElement.textContent = "Loading...";
const prompt = "Answer the following questions about this article, use the article for your information on the , also, please answer in A B C or D when needed: " + ArticleBox.value + "\n Question: " + question;
fetchGPTResponse(prompt);
}
// Fetch GPT-3 response
async function fetchGPTResponse(prompt) {
try {
const response = await fetch(baseUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${s3.accessKeyId}`
},
body: JSON.stringify({
model: "gpt-3.5-turbo",
messages: [{ role: "system", content: "You are a helpful assistant." },
{ "role": "user", "content": prompt }],
max_tokens: 1000
})
});
const responseData = await response.json();
outputElement.textContent = responseData.choices[0].message.content;
} catch (error) {
outputElement.textContent = "Error: " + error.message;
}
}
</script>
</body>
</html>