mirror of
https://gitlab.rlp.net/proj-wise2526-video2document/video2document.git
synced 2026-06-15 18:01:52 +02:00
Merge commit '6531f5f51c125b9cef761b457ab09f494c77a7e7' into feature/modular-ipc-system-implementation
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+13
-24
@@ -5,39 +5,28 @@ try {
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onFileDrop: (file) => webUtils.getPathForFile(file)
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})
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contextBridge.exposeInMainWorld("extractor", {
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extract: (file) => {
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let q = // TODO get rid of this example code and have the actual json object be sent
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{
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video: {
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module: "extraction-video-to-audio", // The name of the module, idk if we ever implement other extraction modules, the default one is extraction-video-to-audio
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inputVideoPath: file.inputVideoPath, // See script.js on line 27 for an example of what this should look like
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outputType: file.outputType // The file format to be used for the audio output file, such as wav, mp3, flac and so on
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},
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transcription:{
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module: "String" // The module name of the transcription model you want to use
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},
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document:{
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module: "String", // The module name of the AI model you want to use to create the document
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styles: [ // An array of all the document styles/prompts you want to have the document be processed with
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{
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prompt: "String",
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}
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]
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}
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}
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// ipcRenderer.send("file_submit", {module:"extraction-video-to-audio", parameter:file})
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ipcRenderer.send("file_submit", q)
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}
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// extract: (file) => {ipcRenderer.send("file_submit", q)}
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})
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contextBridge.exposeInMainWorld("electronAPI", {
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getFilePath: (file) => {return webUtils.getPathForFile(file)}
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})
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contextBridge.exposeInMainWorld("onStartup", {
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getModuleNames: (file) => { ipcRenderer.send("get_modules", "")}
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})
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ipcRenderer.on("progress", (event, resp) => {
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alert(`Finished step ${resp.curstep} of ${resp.totalsteps}`)
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})
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ipcRenderer.on("error", (event, err) => {alert(err)})
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ipcRenderer.on("modules", (event, resp) => {
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loadAiOptions(resp.ai_modules);
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loadTranscriptionOptions(resp.transcription_modules);
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})
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} catch (error) {
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console.log("Error in preload.js");
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}
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@@ -32,13 +32,14 @@ uploadContainer.addEventListener("drop", (e) => {
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})
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window.addEventListener('load', (e) => {
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try {
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console.log("test");
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loadLanguageOptions();
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} catch (error) {
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window.addEventListener('load', (e) => {
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try {
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console.log("test");
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loadLanguageOptions();
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window.onStartup.getModuleNames();
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} catch (error) {
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}
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}
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});
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+8
-12
@@ -55,11 +55,7 @@ function checkBoxes() {
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"style": selectedStyles
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}
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};
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console.log(sendingPackage);
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//window.extractor.extract({inputVideoPath: pathTest, outputType:"wav"});
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ipcRenderer.send("file_submit", sendingPackage)
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}else{
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alert('The given file is not compatible. These are the available types: [".mp4", ".mov", ".avi", ".mkv"].');
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}
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@@ -137,11 +133,11 @@ function loadAiOptions(options){
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var menu = document.getElementById('ai_type');
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var object_holdy;
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var choice ;
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object_holdy = Object.keys(options);
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object_holdy = options
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for(i = 0; i < options.length; i++){
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choice = document.createElement('option');
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choice.textContent = object_holdy[i];
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choice.value = object_holdy[i];
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choice.textContent = object_holdy[i].displayname;
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choice.value = object_holdy[i].name;
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menu.appendChild(choice);
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}
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} catch (error) {
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@@ -153,14 +149,14 @@ function loadAiOptions(options){
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//function to load transcription options to the drop down list
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function loadTranscriptionOptions(options){
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try {
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var menu = document.getElementById('transkript_type');
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var menu = document.getElementById('ai_type');
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var object_holdy;
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var choice ;
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object_holdy = Object.keys(options);
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object_holdy = options
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for(i = 0; i < options.length; i++){
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choice = document.createElement('option');
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choice.textContent = object_holdy[i];
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choice.value = object_holdy[i];
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choice.textContent = object_holdy[i].displayname;
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choice.value = object_holdy[i].name;
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menu.appendChild(choice);
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}
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} catch (error) {
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