1st

const express = require('express');
const axios = require('axios');
const app = express();

app.use(express.json());

app.post('/create-issues', async (req, res) => {
  const userText = req.body.text;

  // Send the user's text to the GPT-3 API
  const gptResponse = await axios.post('https://api.openai.com/v1/engines/davinci-codex/completions', {
    prompt: userText,
    max_tokens: 60,
  }, {
    headers: {
      'Authorization': `Bearer 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`,
    },
  });

  // Transform the GPT-3 response into the format required by the ZenHub API
  const zenhubData = transformGptResponse(gptResponse.data);

  // Send a POST request to the ZenHub API to create the issues
  const zenhubResponse = await axios.post('https://api.zenhub.io/p1/repositories/483562652/issues', zenhubData, {
    headers: {
      'X-Authentication-Token': zh_d185e9724bd7be9e422032cc6b3d05314a282c77c660e530ec8847f87eb47cd8,
    },
  });

  res.json(zenhubResponse.data);
});

function transformGptResponse(gptResponse) {
  // This function should transform the GPT-3 response into the format required by the ZenHub API
  // The exact implementation will depend on the structure of the GPT-3 response and the ZenHub API requirements
}

app.listen(3000, () => {
  console.log('Server is running on port 3000');
});