Supabase
How to Build AI Chatbot with Supabase
Discover how to build a powerful AI chatbot using Supabase. Our step-by-step guide covers setup, integration, and deployment, making it easy for any developer.
Discover how to build a powerful AI chatbot using Supabase. Our step-by-step guide covers setup, integration, and deployment, making it easy for any developer.
Step 1: Set Up Supabase
Step 2: Configure Your Backend
const express = require('express');
const bodyParser = require('body-parser');
const { createClient } = require('@supabase/supabase-js');
const app = express();
const port = 3000;
app.use(bodyParser.json());
const SUPABASE_URL = 'your-supabase-url';
const SUPABASE_KEY = 'your-api-key';
const supabase = createClient(SUPABASE_URL, SUPABASE_KEY);
app.listen(port, () => {
console.log(`Server running on http://localhost:${port}`);
});
Step 3: Create API Endpoints
app.post('/send-message', async (req, res) => {
const { message } = req.body;
const { data, error } = await supabase
.from('messages')
.insert([{ message, created_at: new Date() }]);
if (error) {
return res.status(400).json({ error: error.message });
}
res.status(200).json(data);
});
app.get('/get-messages', async (req, res) => {
const { data, error } = await supabase
.from('messages')
.select('*')
.order('created_at', { ascending: false });
if (error) {
return res.status(400).json({ error: error.message });
}
res.status(200).json(data);
});
Step 4: Create Frontend Interface
<!DOCTYPE html>
<html>
<head>
<title>AI Chatbot</title>
</head>
<body>
<div id="chat-container">
<div id="messages"></div>
<input type="text" id="message-input" placeholder="Type a message here...">
<button onclick="sendMessage()">Send</button>
</div>
<script>
async function fetchMessages() {
const response = await fetch('/get-messages');
const data = await response.json();
document.getElementById('messages').innerHTML = data.map(msg => `<p>${msg.message}</p>`).join('');
}
async function sendMessage() {
const messageInput = document.getElementById('message-input');
const message = messageInput.value;
await fetch('/send-message', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ message })
});
messageInput.value = '';
fetchMessages();
}
fetchMessages();
</script>
</body>
</html>
Step 5: Serve Static Files
const path = require('path');
// existing imports...
app.use(express.static(path.join(__dirname, 'public')));
// existing app.get and app.post code...
Step 6: Run Your Server
Step 7: Integrate AI
const { Configuration, OpenAIApi } = require("openai");
const configuration = new Configuration({
apiKey: 'your-openai-api-key',
});
const openai = new OpenAIApi(configuration);
app.post('/send-message', async (req, res) => {
const { message } = req.body;
const aiResponse = await openai.createCompletion({
model: "text-davinci-003",
prompt: message,
max_tokens: 150,
});
const responseMessage = aiResponse.data.choices[0].text.trim();
const { data, error } = await supabase
.from('messages')
.insert([
{ message, created_at: new Date() },
{ message: responseMessage, created_at: new Date() }
]);
if (error) {
return res.status(400).json({ error: error.message });
}
res.status(200).json(data);
});
Congratulations! You have successfully built an AI chatbot with Supabase.
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