Test server for uploading tensorflow models

tensorflowUploadServer.js

const express = require('express')
var formidable = require('formidable')
util = require('util');


const app = express()
const port = 3000

app.listen(port, () => {
    console.log(`Server listening at http://localhost:${port}`)
})

//Form parsing from https://nodejs.org/en/knowledge/HTTP/servers/how-to-handle-multipart-form-data/
app.post('/save_model', async (req, res) => {
    var form = new formidable.IncomingForm();

    // form.parse analyzes the incoming stream data, picking apart the different fields and files for you.

    form.parse(req, function(err, fields, files) {
      if (err) {

        // Check for and handle any errors here.

        console.error(err.message);
        return;
      }
      console.log(fields)
      console.log(files)
      res.writeHead(200, {'content-type': 'text/plain'});
      res.write('received upload:\n\n');

      // This last line responds to the form submission with a list of the parsed data and files.

      res.end(util.inspect({fields: fields, files: files}));
    });
    return;


})