flask / templates /index.html
Dooratre's picture
Update templates/index.html
5e5276d verified
<!DOCTYPE html>
<html>
<head>
<title>AI Chat</title>
</head>
<body>
<div id="chat-container"></div>
<input type="text" id="text-input" placeholder="Type your message here">
<button onclick="sendMessage(document.getElementById('text-input').value)">Send Text</button>
<button onclick="startRecording()">Start Recording</button>
<audio id="ai-voice" controls style="display: none;"></audio>
<script>
let recognition = new webkitSpeechRecognition();
recognition.lang = 'en-US';
recognition.continuous = false;
function startRecording() {
recognition.start();
recognition.onresult = function(event) {
let userMessage = event.results[0][0].transcript;
sendMessage(userMessage);
// Stop recording after successful transcription
recognition.stop();
}
recognition.onspeechend = function() {
recognition.stop();
}
recognition.onerror = function(event) {
console.error('Speech recognition error:', event.error);
recognition.stop();
}
}
async function sendMessage(userMessage) {
if (userMessage.trim() === '') {
alert("Please enter a message.");
return;
}
document.getElementById("chat-container").innerHTML += "<p>User: " + userMessage + "</p>";
try {
const response = await fetch('/chat', {
method: 'POST',
body: new URLSearchParams({ user_input: userMessage }),
headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
});
const data = await response.text();
document.getElementById("chat-container").innerHTML += "<p>AI: " + data + "</p>";
// Convert text response to voice
let ap = 'hf';
let a = '_jOgmLjsGmnjFcJnoStasSfaKgjzZMiDXfh';
const voiceResponse = await fetch('https://api-inference.huggingface.co/models/facebook/fastspeech2-en-ljspeech', {
method: 'POST',
headers: {
'Authorization': `Bearer ${ap}${a}`,
'Content-type': 'application/json'
},
body: JSON.stringify({ "inputs": data })
});
const audioData = await voiceResponse.arrayBuffer();
const audioContext = new AudioContext();
const audioBuffer = await audioContext.decodeAudioData(audioData);
const source = audioContext.createBufferSource();
source.buffer = audioBuffer;
source.connect(audioContext.destination);
source.start();
} catch (error) {
console.error("Error:", error);
}
}
</script>
</body>
</html>