json of software for brain.js
<!DOCTYPE html>
<html>
<head runat="server">
<meta charset="utf-8" />
<title>Neural Network - Brain.js - Web Method Test</title>
<style>
div {
padding: 12px;
background-color: aliceblue;
}
.txt {
width: 400px;
}
.info {
font-size: 16px;
}
.btn {
margin: 12px;
height: 24px;
width: 50px;
padding: 6px;
}
.entry {
padding: 30px;
background: lightblue;
color: black;
font-size: 36px;
}
.example {
padding: 100px;
background: darkred;
color: white;
font-size: 36px;
}
.header {
padding 22px;
background: plum;
font-size: 48px;
color: black;
}
</style>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
<script src="//unpkg.com/brain.js"></script>
</head>
<body>
<form id="form1" runat="server">
<div class="header">
Brain.JS Example
</div>
<div class="entry">
<span class="info">How many Iterations to train (poor but fast: 100, good but slow: 4000)?</span>
<input type="text" id="txtIterations" value="1000" />
<br />
<input type="button" value="Train the AI" onclick="javascript: TrainBrain();" />
</div>
<div>
<span class="info">What is your computer issue?</span>
<br />
<input type="text" id="txtInput" class="txt" />
<br />
<span class="info">(will answer 'softare' or 'hardware') </span>
<br />
<br />
<input type="button" value="Send Test" onclick="javascript: runRequest();" />
<br />
</div>
<div id="example" class="example">Example Text</div>
</form>
</body>
</html>
<script>
const txtBrain = new brain.recurrent.LSTM();
var example = document.querySelector("#example");
document.addEventListener('DOMContentLoaded', function () {
example.innerHTML = 'The Brain is Waiting to be Trained...';
console.log('here');
}, false);
function TrainBrain() {
example.innerHTML = "Training in progress... please wait"
console.log('inside TrainBrain');
var jsn = [];
var TrainingData
var TData = [];
var txtIterations = document.getElementById("txtIterations").value
setTimeout(function () {
console.log('inside timeout');
$.getJSON(['data.json'], function (jsn) {
TrainingData = JSON.stringify(jsn);
TData = JSON.parse(TrainingData);
var TData2 = TData.map(item => ({
input: item.input,
output: item.output
}))
const iterations = txtIterations
const config = {
iterations: iterations
, log: details => console.log(details)
};
txtBrain.train(TData2, config);
example.innerHTML = 'Training is completed. Please ask your question.'
});
}, 2000);
console.log('after timeout');
}
function runRequest() {
var output = ''
var txtInput = document.getElementById("txtInput").value
console.log(txtInput);
console.log('inside run request')
output = txtBrain.run(txtInput.text);
console.log('Category: ' + output);
example.innerHTML = txtInput + '<br>... Category: ' + output;
}
</script>