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index.js
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index.js
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const electron = require('electron');
const generate_code = require('./scripts/utils/generate');
const {save_diagram, load_diagram} = require('./scripts/utils/saver_loader');
const { app, BrowserWindow, ipcMain, dialog } = electron;
let mainWindow;
let configureWindow;
let layer_under_config;
let requested_add_button;
let notify_configure;
let dimensions = [10];
let framework = "TensorFlow";
let transfer_learning = {
model: 'VGG16',
shape: [224,224,3],
pretrained: true,
trainable: false
}
app.on('ready', ()=> {
// Customizing Main Window
mainWindow = new BrowserWindow({
minHeight: 700,
minWidth: 1100,
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
icon: __dirname + '/gallery/icon.png'
});
//Loading the corresponding HTML File
mainWindow.loadURL(`file://${__dirname}/html/index.html`);
mainWindow.maximize();
});
//exiting app on close app button
ipcMain.on('exit-app', () => {
app.quit();
});
//maximizing app on max app button
ipcMain.on('max-app', () => {
if (mainWindow.isMaximized()) {
mainWindow.unmaximize();
}
else {
mainWindow.maximize();
}
});
//minimizing app on max app button
ipcMain.on('min-app', () => {
mainWindow.minimize();
});
//New Layer Request
ipcMain.on('new-layer-request', (event, args) => {
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 300,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
requested_add_button = args;
configureWindow.loadURL(`file://${__dirname}/html/new-layer.html`);
});
//New Layer Add
ipcMain.on('add-new-layer', (evt, args) => {
mainWindow.webContents.send('add-new-layer', {name: args, button: requested_add_button});
configureWindow.close();
});
//cancle in Add New Layer Window
ipcMain.on('close-small', () => {
configureWindow.close();
})
//generate button clicked
ipcMain.on('generate-code', async (event, arg) => {
let file_path = await dialog.showSaveDialog(mainWindow, { filters: [{ name: "Python File", extensions: ["py"]}], properties: [] });
if(file_path.canceled === false){
let success = await generate_code(arg, dimensions, transfer_learning, file_path.filePath);
if (success){
notify_configure = ["code", "success"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 350,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-success.html`);
}
else {
notify_configure = ["code", "unsuccess"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 300,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-unsuccess.html`);
}
}
});
//save button clicked
ipcMain.on('save-diagram', async (event, arg) => {
let file_path = await dialog.showSaveDialog(mainWindow, { filters: [{ name: "DeepGUI File", extensions: ["dgui"]}] });
if(file_path.canceled === false){
let success = await save_diagram(arg, dimensions, file_path.filePath);
if (success) {
notify_configure = ["save", "success"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 350,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-success.html`);
}
else {
notify_configure = ["save", "unsuccess"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 300,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-unsuccess.html`);
}
}
});
//load button clicked
ipcMain.on('load-diagram', async () => {
let file_path = await dialog.showOpenDialog(mainWindow, { filters: [{ name: "DeepGUI File", extensions: ["dgui"]}], properties: ['openFile'] });
if(file_path.canceled === false){
const diagram = await load_diagram(file_path.filePaths[0]);
try {
if (diagram.dimensions === undefined || diagram.layers === undefined || diagram.framework === undefined || diagram.lr === undefined || diagram.loss === undefined || diagram.optimizer === undefined || diagram.epoch === undefined || diagram.batch === undefined) {
throw "error";
};
mainWindow.webContents.send('load-new-diagram', diagram);
dimensions = diagram.dimensions;
mainWindow.webContents.send('set-input-shape', dimensions);
requested_add_button = "new-layer-button-parent";
for(let i=0; i<diagram.layers.length; i++){
mainWindow.webContents.send('add-new-layer', {name: diagram.layers[i].name, button: requested_add_button});
diagram.layers[i].id = `layer-${i}`;
}
for (layer of diagram.layers) {
mainWindow.webContents.send("set-config", layer);
}
notify_configure = ["load", "success"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 350,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-success.html`);
}
catch {
notify_configure = ["load", "unsuccess"];
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 300,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/code-generated-unsuccess.html`);
}
}
});
//configure notify window
ipcMain.on("ready-notify-config", () => {
configureWindow.webContents.send("configure-notify", notify_configure);
});
//input shape cog clicked
ipcMain.on('input-shape-cog', () => {
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 350,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/input-shape-config.html`);
});
//input shape cog clicked
ipcMain.on('transfer-learning-cog', () => {
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 350,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
configureWindow.loadURL(`file://${__dirname}/html/transfer-learning-config.html`);
});
// resize the small window
ipcMain.on('resize-small', (event, arg) => {
configureWindow.setBounds({width: 400, height: Math.min(350 + arg * 50, 500)});
});
//setting the input dimensions
ipcMain.on('set-dimensions', (event, arg) => {
configureWindow.close();
dimensions = [];
for(dim of arg){
dimensions.push(parseInt(dim));
}
mainWindow.webContents.send('set-input-shape', dimensions);
});
//sending initialization parameters to input config window
ipcMain.on('ready-input-config', () => {
configureWindow.webContents.send('initialize', dimensions);
});
//configuring a layer
ipcMain.on("config-layer", (event, arg) => {
configureWindow = new BrowserWindow({
frame: false,
webPreferences: {
nodeIntegration: true,
devTools: false
},
width: 400,
height: 370,
resizable: false,
maximizable: false,
parent: mainWindow,
modal: true
});
layer_under_config = arg;
switch(arg.name){
case "Convolution 1D":
case "Convolution 2D":
case "Convolution 3D":
configureWindow.loadURL(`file://${__dirname}/html/convolution-config.html`);
break;
case "Max Pool 1D":
case "Max Pool 2D":
case "Max Pool 3D":
case "Avg Pool 1D":
case "Avg Pool 2D":
case "Avg Pool 3D":
configureWindow.setBounds({width: 400, height: 300});
configureWindow.loadURL(`file://${__dirname}/html/pooling-config.html`);
break;
case "RNN":
case "LSTM":
case "GRU":
configureWindow.loadURL(`file://${__dirname}/html/recurrent-config.html`);
break;
case "Linear":
configureWindow.setBounds({width: 400, height: 300});
configureWindow.loadURL(`file://${__dirname}/html/dense-config.html`);
break;
case "Embedding":
configureWindow.loadURL(`file://${__dirname}/html/embedding-config.html`);
break;
case "Activation":
configureWindow.setBounds({width: 400, height: 300});
configureWindow.loadURL(`file://${__dirname}/html/activation-config.html`);
break;
case "Dropout":
configureWindow.setBounds({width: 400, height: 200});
configureWindow.loadURL(`file://${__dirname}/html/dropout-config.html`);
break;
case "Batch Norm 1D":
case "Batch Norm 2D":
case "Batch Norm 3D":
configureWindow.setBounds({width: 400, height: 200});
configureWindow.loadURL(`file://${__dirname}/html/batch-norm-config.html`);
break;
default:
configureWindow.close();
}
});
//sending initialization parameters to layer config window
ipcMain.on("ready-layer-config", () => {
configureWindow.webContents.send("layer-config", {layer:layer_under_config, framework:framework});
});
//getting layer config
ipcMain.on("layer-config-finish", (event, arg) => {
configureWindow.close();
mainWindow.webContents.send("set-config", arg);
});
//change framwork signal
ipcMain.on("change-framework", (event, arg) => {
framework = arg;
if(framework === "PyTorch"){
transfer_learning.model = "VGG 16"
}
else {
transfer_learning.model = "VGG16"
transfer_learning.shape = [224,224,3]
}
});
//transfer learning config start
ipcMain.on("ready-tl-config", () => {
configureWindow.webContents.send('initialize', {transfer_learning: transfer_learning, framework: framework});
});
//setting transfer learning configuration
ipcMain.on("set-transfer-learning", (event, arg) => {
transfer_learning = arg;
mainWindow.webContents.send("set-transfer-learning", arg);
configureWindow.close();
})