This is what I have so far i, trying to get it to work
import express from 'express';
import * as dotenv from 'dotenv';
import cors from 'cors';
import { Configuration, OpenAIApi } from 'openai';
dotenv.config();
const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
const app = express();
app.use(cors());
app.use(express.json());
app.get('/', async (req, res) => {
res.status(200).send({
message: 'This is OpenAI CodeX'
})
})
app.post('/', async (req, res) => {
try {
const prompt = req.body.prompt;
const response = await openai.createChatCompletion({
model: "gpt-3.5-turbo",
messages: `${prompt}`,
temperature: 0.5, // Higher values means the model will take more risks.
max_tokens: 1000, // The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 4096).
top_p: 1, // alternative to sampling with temperature, called nucleus sampling
frequency_penalty: 0.5, // Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
presence_penalty: 0.5, // Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics
})
res.status(200).send({
bot: response.data.choices[0].message
})
} catch (error) {
console.log(error);
res.status(500).send({ error })
}
})
app.listen(5000, () => console.log('Server is running on port http://localhost:5000'));