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<!doctype html>
<html>
<head>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Raleway:ital,wght@0,100..900;1,100..900&display=swap" rel="stylesheet">
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width" />
<title>AutoVChat - talk to AutoV Models</title>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<div class="card">
<h1>AutoVChat</h1>
<p>You can say:</p>
<p>
hello, i got a new dog, i got a new cat
</p>
<!-- User input -->
<textarea id="userInput" placeholder="Type your message here"></textarea>
<button id="sendButton">Send</button>
<!-- AI response -->
<p id="aiResponse"></p>
</div>
<script>
// Replace with your Hugging Face model endpoint
const transformerAPIUrl = "https://api-inference.huggingface.co/models/electric-otter/AutoV1";
// Handle button click event
document.getElementById('sendButton').addEventListener('click', async function() {
// Get user input
const userInput = document.getElementById('userInput').value;
// Check if there's input
if (userInput.trim() === "") {
alert("Please enter a message.");
return;
}
// Prepare the request body
const requestBody = {
"inputs": userInput
};
// Send POST request to Hugging Face API
try {
const response = await fetch(transformerAPIUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
// No API key needed for public models
},
body: JSON.stringify(requestBody)
});
// Check if the response is successful
if (!response.ok) {
throw new Error("Failed to fetch response from API.");
}
// Parse the response from Hugging Face
const data = await response.json();
// Display AI response
document.getElementById('aiResponse').innerText = "AI says: " + data[0].generated_text;
} catch (error) {
console.error("Error:", error);
document.getElementById('aiResponse').innerText = "Error occurred. Please try again.";
}
});
</script>
</body>
</html>
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