merge: Resolve conflicts with develop

services/modules/transcription/assembly.js

@@ -0,0 +1,8 @@
+module.exports = {
+    name:"assembly", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"transcription", // value used to differentiate each module to order them in the UI
+    displayname:"Assembly", // The displayname used within the UI
+    async function(parameter){
+        // TODO add code to actually process the audio file
+    }
+}

services/modules/transcription/example.js

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+module.exports = {
+    name:"example", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"example-type", // value used to differentiate each module to order them in the UI
+    displayname:"Example", // The displayname used within the UI
+    async function(randomParameter){
+        // Here we put a simple console.log to show how the system works
+        // This function will be called from the @startup.js function in the utility folder
+        console.log(`\n------------\nThis is the example function called by the ${randomParameter} function\n------------\n`);
+    }
+}

services/modules/transcription/local/whisperLocal.ts

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+import { exec } from "child_process"; // Node.js built-in module
+import path from "path"; // Path module
+import fs from "fs"; // File system module
+import { fileURLToPath } from "url"; // To handle __dirname in ES modules
+
+const __filename = fileURLToPath(import.meta.url); // Get current file path
+const __dirname = path.dirname(__filename); // Get current directory path
+const transcriptsDir = path.resolve(__dirname, "../../storage/transcriptions");
+
+
+export class whisperLocal { // is called by transcribe.ts
+  private whisperBinary: string; // Path to the whisper.cpp binary
+  private modelPath: string; // Path to the model file
+
+  constructor() {
+    this.whisperBinary = path.resolve(
+      __dirname,
+      "whisper.cpp/build/bin/whisper-cli" //Path to the compiled whisper binary
+    );
+
+    this.modelPath = path.resolve(
+      __dirname,
+      "whisper.cpp/models/ggml-base.en.bin" // Path to the English model file
+    );
+  }
+
+  async transcribe(audioPath: string): Promise<string> { //asyncronous function to transcribe audio
+    return new Promise((resolve, reject) => {
+        const transcriptsDir = path.resolve(__dirname, "../../../../storage/transcripts"); //storage directory for transcripts
+
+        if (!fs.existsSync(transcriptsDir)) { //if transcripts directory does not exist, create it
+            fs.mkdirSync(transcriptsDir, { recursive: true });
+        }
+
+        const outputBase = path.resolve( // Base path for output transcript files, name is same as audio file (video file)
+            transcriptsDir,
+            path.basename(audioPath, path.extname(audioPath))
+        );
+
+        const command = `"${this.whisperBinary}" -m "${this.modelPath}" -f "${audioPath}" -otxt -of "${outputBase}"`; // Command to execute whisper binary with model and audio file, outputting text file
+
+      exec(command, (error, stdout, stderr) => {
+        if (error) return reject(error);
+
+        const outputTxt = `${outputBase}.txt`;
+        if (fs.existsSync(outputTxt)) {
+          const transcript = fs.readFileSync(outputTxt, "utf8");
+          resolve(transcript);
+        } else {
+          reject(new Error("No transcript file found"));
+        }
+        });
+    });
+  }
+}