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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>VarunGPT</title>
<!-- Bootstrap CSS -->
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<style>
* {
font-family: 'Poppins', sans-serif;
}
body {
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
background: url('hdr.jpg') no-repeat center center/cover;
color: white;
text-align: center;
padding: 20px;
}
.container {
width: 100%;
max-width: 600px;
background: rgba(255, 255, 255, 0.1);
backdrop-filter: blur(10px);
padding: 20px;
border-radius: 12px;
box-shadow: 0 0 20px rgba(255, 255, 255, 0.2);
}
.profile-img {
width: 80px;
height: 80px;
border-radius: 50%;
box-shadow: 0 0 10px rgba(255, 255, 255, 0.3);
}
.chat-box {
height: 300px;
overflow-y: auto;
padding: 15px;
background: rgba(255, 255, 255, 0.2);
border-radius: 10px;
}
.user-message, .bot-message {
padding: 12px;
border-radius: 10px;
margin: 10px 0;
max-width: 75%;
word-wrap: break-word;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.2);
}
.user-message {
align-self: flex-end;
background: linear-gradient(135deg, #ff758c, #ff7eb3);
}
.bot-message {
align-self: flex-start;
background: linear-gradient(135deg, #36d1dc, #5b86e5);
}
.chat-input {
display: flex;
gap: 10px;
margin-top: 15px;
}
.chat-input input {
flex-grow: 1;
padding: 12px;
border-radius: 8px;
border: none;
outline: none;
background: rgba(255, 255, 255, 0.2);
color: white;
}
.send-btn {
padding: 12px 18px;
background: linear-gradient(45deg, #6a11cb, #2575fc);
color: white;
border: none;
border-radius: 8px;
cursor: pointer;
transition: 0.3s;
}
.send-btn:hover {
background: linear-gradient(45deg, #2575fc, #6a11cb);
}
.image-container img {
width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(255, 255, 255, 0.3);
}
@media (max-width: 768px) {
.container {
width: 100%;
padding: 15px;
}
.chat-box {
height: 250px;
}
}
</style>
</head>
<body>
<div class="container">
<!-- Profile Image -->
<img src="profile.jpg" alt="Profile" class="profile-img">
<h2 class="mt-2">Varun-GPT</h2>
<!-- API Key Inputs -->
<input type="text" id="chat-api-key" class="form-control my-2" placeholder="Enter Hugging Face API Key (Chat)">
<input type="text" id="image-api-key" class="form-control mb-3" placeholder="Enter Hugging Face API Key (Image)">
<!-- Chat Box -->
<div class="chat-box" id="chat-box"></div>
<!-- Chat Input -->
<div class="chat-input">
<input type="text" id="user-input" class="form-control" placeholder="Type a message...">
<button class="btn btn-primary send-btn" id="send-button">Send</button>
</div>
<!-- Image Container -->
<div class="image-container mt-3" id="image-container"></div>
</div>
<!-- JavaScript -->
<script type="module">
import { HfInference } from "https://cdn.jsdelivr.net/npm/@huggingface/inference/+esm";
let chatClient, imageClient;
document.getElementById("send-button").addEventListener("click", handleChat);
document.getElementById("user-input").addEventListener("keypress", function(event) {
if (event.key === "Enter") handleChat();
});
async function handleChat() {
const userInput = document.getElementById("user-input").value;
const chatApiKey = document.getElementById("chat-api-key").value;
const imageApiKey = document.getElementById("image-api-key").value;
if (!userInput.trim() || !chatApiKey.trim() || !imageApiKey.trim()) return;
if (!chatClient) chatClient = new HfInference(chatApiKey);
if (!imageClient) imageClient = new HfInference(imageApiKey);
const chatBox = document.getElementById("chat-box");
chatBox.innerHTML += `<div class='user-message'><strong>You:</strong> ${userInput}</div>`;
document.getElementById("user-input").value = "";
if (userInput.toLowerCase().startsWith("generate an image of")) {
const imagePrompt = userInput.replace("generate an image of", "").trim();
await generateImage(imagePrompt);
} else {
await fetchChatResponse(userInput);
}
chatBox.scrollTop = chatBox.scrollHeight;
}
async function fetchChatResponse(input) {
try {
const response = await chatClient.chatCompletion({
model: "mistralai/Mistral-7B-Instruct-v0.2",
messages: [{ role: "user", content: input }],
max_tokens: 500,
});
const botMessage = response.choices[0].message.content;
document.getElementById("chat-box").innerHTML += `<div class='bot-message'><strong>VarunGPT-3:</strong> ${botMessage}</div>`;
} catch (error) {
console.error("Error fetching chat response:", error);
}
}
async function generateImage(prompt) {
const imageContainer = document.getElementById("image-container");
imageContainer.innerHTML = `<p>Generating image...</p>`;
try {
const response = await imageClient.textToImage({
model: "stabilityai/stable-diffusion-xl-base-1.0",
inputs: prompt,
parameters: { num_inference_steps: 50, guidance_scale: 7.5 },
});
if (response instanceof Blob) {
const imageUrl = URL.createObjectURL(response);
imageContainer.innerHTML = `<img src="${imageUrl}" alt="Generated Image">`;
} else {
imageContainer.innerHTML = `<p style="color: red;">Error: Invalid API response.</p>`;
}
} catch (error) {
imageContainer.innerHTML = `<p style="color: red;">Error generating image: ${error.message || "Unknown error"}</p>`;
}
}
</script>
</body>
</html>
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