better, but still bad, code

    print(json)

    # message = json["message"]

    # return message # just for debugging, for now... TODO integrate the code with ml.py to get a response

    return

    return "hi"

# TODO hopefully it's obvious that these functions need to be implemented

@app.route('/correctPrediction', methods=["POST"])

        message: "Hi"

      });

    var url = "http://localhost:8080";

    var endpoint = "/predict";

      var url = "http://localhost:8080"

      var endpoint = "/predict"

      var replyObj

      var http = new XMLHttpRequest();

      http.open("GET", url + endpoint, true);

    // set content header to turn a 500 error into a 400 error

    http.setRequestHeader('Content-type', 'application/json');

      http.onreadystatechange = function () {

          var DONE = 4;       // 4 means that the request is done

          var OK = 200;       // 200 means a successful return

          if (http.readyState == DONE && http.status == OK && http.responseText) {

              // JSON string

              replyString = http.responseText;

            // JSON -> JS obj

            replyObj = JSON.parse(replyString);

              // JSON -> JS object

              //replyObj = JSON.parse(replyString);

              console.log(replyString)

            // change the prediction label

            document.getElementById("prediction").innerText = replyObj.prediction;  // signifies that we need a string called prediction from the backend

          }

      }

    http.send(data);

      http.send();

}

// todo fix this to actually send the message data