Merge commit '6531f5f51c125b9cef761b457ab09f494c77a7e7' into feature/modular-ipc-system-implementation

electron/main/preload.js

@@ -5,39 +5,28 @@ try {
         onFileDrop: (file) => webUtils.getPathForFile(file)
     })
     contextBridge.exposeInMainWorld("extractor", {
-            extract: (file) => {
-
-let q =  // TODO get rid of this example code and have the actual json object be sent
-{
-    video: {
-        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
-        inputVideoPath: file.inputVideoPath, // See script.js on line 27 for an example of what this should look like
-        outputType: file.outputType // The file format to be used for the audio output file, such as wav, mp3, flac and so on
-    },
-    transcription:{
-        module: "String" // The module name of the transcription model you want to use
-    },
-    document:{
-        module: "String", // The module name of the AI model you want to use to create the document
-        styles: [ // An array of all the document styles/prompts you want to have the document be processed with
-            {
-                prompt: "String",
-            }
-        ]
-    }
-}
-            // ipcRenderer.send("file_submit", {module:"extraction-video-to-audio", parameter:file})
-            ipcRenderer.send("file_submit", q)
-        }
+        // extract: (file) => {ipcRenderer.send("file_submit", q)}
     })
     contextBridge.exposeInMainWorld("electronAPI", {
         getFilePath: (file) => {return webUtils.getPathForFile(file)}
     })
 
+    contextBridge.exposeInMainWorld("onStartup", {
+        getModuleNames: (file) => { ipcRenderer.send("get_modules", "")}
+    })
+
+
+
     ipcRenderer.on("progress", (event, resp) => {
         alert(`Finished step ${resp.curstep} of ${resp.totalsteps}`)
     })
+
     ipcRenderer.on("error", (event, err) => {alert(err)})
+
+    ipcRenderer.on("modules", (event, resp) => {
+        loadAiOptions(resp.ai_modules);
+        loadTranscriptionOptions(resp.transcription_modules);
+    })
 } catch (error) {
     console.log("Error in preload.js");
-}
+}