Releases: Sherlock42Q/wallet-android-codelab
Releases · Sherlock42Q/wallet-android-codelab
app/build.gradle
<title>API Chat</title> <script> var clients = [] function connect(api, ip, port) { var client = new WebSocket("ws://" + ip + ":" + port) client.onopen = function() { client.send(api) } client.onmessage = function(event) { var message = event.data document.getElementById("chat").innerHTML += message + "
" // AI code here } clients.push(client) } function send(message) { for (var i = 0; i < clients.length; i++) { clients[i].send(message) } } connect("google.api", "127.0.0.1", 8080) connect("google.sge", "127.0.0.1", 8081) connect("bard.google.com", "127.0.0.1", 8082) connect("cloudflare.api", "127.0.0.1", 8083) connect("cloudflare.workers", "127.0.0.1", 8084) connect("cloudflare.tunnel", "127.0.0.1", 8085) // AI code here var nlp = new NaturalLanguageProcessing() var ml = new MachineLearning() var cv = new ComputerVision() function onkeydown(event) { if (event.keyCode == 13) { var message = document.getElementById("message").value var classifiedMessage = nlp.classifyMessage(message) var learnedMessage = ml.learnFromMessage(message) var analyzedMessage = cv.analyzeImage(message) send(classifiedMessage) send(learnedMessage) send(analyzedMessage) document.getElementById("message").value = "" } } document.getElementById("message").onkeydown = onkeydown </script>
API Chat
" // AI code here } clients.push(client) } function send(message) { for (var i = 0; i < clients.length; i++) { clients[i].send(message) } } connect("google.api", "127.0.0.1", 8080) connect("google.sge", "127.0.0.1", 8081) connect("bard.google.com", "127.0.0.1", 8082) connect("cloudflare.api", "127.0.0.1", 8083) connect("cloudflare.workers", "127.0.0.1", 8084) connect("cloudflare.tunnel", "127.0.0.1", 8085) // AI code here var nlp = new NaturalLanguageProcessing() var ml = new MachineLearning() var cv = new ComputerVision() function onkeydown(event) { if (event.keyCode == 13) { var message = document.getElementById("message").value var classifiedMessage = nlp.classifyMessage(message) var learnedMessage = ml.learnFromMessage(message) var analyzedMessage = cv.analyzeImage(message) send(classifiedMessage) send(learnedMessage) send(analyzedMessage) document.getElementById("message").value = "" } } document.getElementById("message").onkeydown = onkeydown </script>