const express = require('express');
const axios = require('axios');
const app = express();
const PORT = process.env.PORT || 7860;
const apiToken = process.env.API_KEY;

app.use(express.json());

app.post('/chat', async (req, res) => {
    const { messages, temperature, max_tokens } = req.body;

    try {
        // Преобразуем массив сообщений в одну строку
        const inputText = messages.map(msg => msg.content).join('\n');

        const response = await axios.post('https://api-inference.huggingface.co/models/codellama/CodeLlama-34b-Instruct-hf', {
            inputs: inputText,
            parameters: {
                temperature: temperature || 0.7,
                max_new_tokens: max_tokens || 100
            }
        }, {
            headers: {
                'Content-Type': 'application/json',
                'Authorization': `Bearer ${apiToken}`
            }
        });

        const data = response.data;
        const generatedText = data.generated_text;

        res.json({ generated_text: generatedText });
    } catch (error) {
        console.error("Error during text generation:", error.response ? error.response.data : error.message);
        res.status(500).json({ error: `Произошла ошибка при генерации текста: ${error.response ? error.response.data : error.message}` });
    }
});

app.listen(PORT, () => {
    console.log(`Server is running on port ${PORT}`);
});