ImgRecGen / server.js
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const express = require('express');
const fetch = require('node-fetch');
const bodyParser = require('body-parser');
const app = express();
const port = 3000;
// Используем body-parser для обработки JSON данных
app.use(bodyParser.json());
app.post('/generate-image', async (req, res) => {
const { prompt } = req.body;
if (!prompt) {
return res.status(400).send('Missing "prompt" in request body');
}
try {
const response = await fetch('https://api-inference.huggingface.co/models/your-model-name', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
inputs: prompt
})
});
if (!response.ok) {
throw new Error(`Error from Hugging Face API: ${response.statusText}`);
}
const imageBuffer = await response.buffer();
const base64Image = imageBuffer.toString('base64');
res.json({ image: base64Image });
} catch (error) {
console.error('Error generating image:', error);
res.status(500).send('Error generating image');
}
});
app.listen(port, () => {
console.log(`Server is running on http://localhost:${port}`);
});