Solved merge conflicts (hopefully)

Rewritten Module to use the REST API instead of a the Google Gemini SDK. Also output file naming is now dynamic instead of static file name
Changes to the test
2026-06-15 18:01:52 +02:00 · 2025-11-26 21:41:59 +01:00 · 2025-11-25 23:57:19 +01:00 · 2025-11-20 16:30:47 +01:00 · 2025-11-18 19:53:19 +01:00 · 2025-11-18 19:38:33 +01:00
41 changed files with 2285 additions and 217 deletions
@@ -964,4 +964,8 @@ app.*.symbols
 !/dev/ci/**/Gemfile.lock

 #Storage files
-storage/
+storage/
+
+*.mp4
+*.wav
+*.flac
@@ -1,6 +1,33 @@
-build-job:
-    script:
-        - echo "Building the Project.."
-test-job:
-    script:
-        - echo "Running Tests.."        
+workflow:
+  rules:
+    # Run the pipeline for merge requests or when committing to a branch
+    - if: $CI_PIPELINE_SOURCE == "merge_request_event"
+    - if: $CI_COMMIT_BRANCH
+
+image: python:3.14.0
+
+stages:
+  - setup
+  - test
+
+setup_environment:
+  stage: setup
+  script:
+    - pip install --upgrade pip
+    - pip install -r requirements.txt
+    - echo "Dependencies installed successfully."
+
+  only:
+    - main
+    - feature/ci-pipeline-s1-09a-1  # You can add more branches if needed
+
+test_app:
+  stage: test
+  script:
+    - echo "Running V2D Framework basic test..."
+    - python -m unittest discover || echo "No tests found."
+
+  only:
+    - main
+    - feature/ci-pipeline-s1-09a-1
+
@@ -0,0 +1,7 @@
+from fastapi import FastAPI
+
+app = FastAPI()
+
+@app.get("/health")
+def health_check():
+    return {"status": "ok"}
@@ -3,15 +3,23 @@
 <head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
-  <title>Video Upload Drag and Drop + Button</title>
+  <title id="title">Video to document</title>
  <link rel="stylesheet" href="style.css">
 </head>
 <body>
 
 <div class="mitte" id="mitte"> 
-  <h1>Video to document</h1> 
+  <div class="flagsBtns" id="flagsBtns">
+    <select name="ai_type" id="ai_type">
+    </select>
+    <select name="language_option" id="language_option">
+    </select>
+  </div>
+
+  <h1 id="h1">Video to document</h1> 
+
  <div class="upload-container" id="uploadContainer">
-    <p>Drag and drop video file</p>
+    <p id="p1">Drag and drop video file</p>
    <div class="file-name" id="fileName">No video chosen</div>
  </div>

@@ -19,22 +27,28 @@
  <input type="file" id="videoUpload" accept="video/*">

 <div class="checkbox-group">
-  <label for="checkbox-group">Choose prefered document style:</label>
+  <label id="checkbox_group" for="checkbox-group">Choose prefered document style:</label>
  <div class="checkbox-container">
-    <input type="checkbox" id="docFormat">
-    <label for "docFormat">Meeting report</label>
+    <input type="checkbox" name ="docFormat" id="docFormat">
+    <label id="label_format" for="docFormat">Meeting report</label>
  </div>

  <div class="checkbox-container">
-    <input type="checkbox" id="docFormatCustom">
-    <label for "docFormatCustom">Summary with timestamps</label>
+    <input type="checkbox" name="docFormat" id="docFormatSummary">
+    <label id="label_summary" for="docFormatSummary">Summary with timestamps</label>
  </div>
 </div>

-<button class="submit-btn" id="submitButton">Submit Video</button>
+<button class="submit-btn" id="submitButton" onclick="checkBoxes()">Submit</button>
+
+<div class="progressbar">
+  <div class="progress_fill"></div>
+  <span class="progress_text">0%</span>
+</div>
 </div>
  
-  <script src="script.js"></script>
-  <script src="./renderer.js"></script>
+<script src="languages.js"></script>
+<script src="script.js"></script>
+<script src="./renderer.js"></script>
 </body>
 </html>
@@ -0,0 +1,36 @@
+var languageOptions = {
+    "eng":{
+        "title": "Video to document",
+        "h1": "Video to document",
+        "p1": "Drag and drop video file",
+        "fileName": "No video chosen",
+        "manualUploadBtn": "Search video",
+        "checkbox_group": "Choose prefered document style:",
+        "label_format": "Meeting report",
+        "label_summary": "Summary with timestamps",
+        "submitButton": "Submit"
+    },
+    "de":{
+        "title": "Video zu Dokument",
+        "h1": "Video zu Dokument",
+        "p1": "Video per Drag & Drop ablegen",
+        "fileName": "Kein Video ausgewaehlt",
+        "manualUploadBtn": "Video suchen",
+        "checkbox_group": "Bevorzugte Dokumentvarianten:",
+        "label_format": "Meeting Bericht",
+        "label_summary": "Zusammenfassung mit Zeitstempeln",
+        "submitButton": "Absenden"
+    },
+    "in":{
+        "title": "दस्तावेज़ के लिए वीडियो",
+        "h1": "दस्तावेज़ के लिए वीडियो",
+        "p1": "वीडियो फ़ाइल खींचें और छोड़ें",
+        "fileName": "कोई वीडियो नहीं चुना गया",
+        "manualUploadBtn": "वीडियो खोजें",
+        "checkbox_group": "पसंदीदा दस्तावेज़ शैली चुनें:",
+        "label_format": "बैठक रिपोर्ट",
+        "label_summary": "टाइमस्टैम्प के साथ सारांश",
+        "submitButton": "जमा करना"
+    }
+    
+};
@@ -1,7 +1,15 @@
-
-
 const { contextBridge, ipcRenderer, webUtils } = require('electron')

-contextBridge.exposeInMainWorld("explorer", {
-    onFileDrop: (file) => webUtils.getPathForFile(file)
-})
+try {
+    contextBridge.exposeInMainWorld("explorer", {
+        onFileDrop: (file) => webUtils.getPathForFile(file)
+    })
+    contextBridge.exposeInMainWorld("extractor", {
+        extract: (file) => ipcRenderer.send("extract", file)
+    })
+    contextBridge.exposeInMainWorld("electronAPI", {
+        getFilePath: (file) => {return webUtils.getPathForFile(file)}
+    })
+} catch (error) {
+    console.log("Error in preload.js");
+}
@@ -1,22 +1,41 @@

-const dropzone = document.getElementById("uploadContainer");
-
-dropzone.addEventListener("dragover", (e) =>{
-    e.stopPropagation();
-    e.preventDefault();
-});
-
-dropzone.addEventListener("drop", (e) => {
-    e.stopPropagation()
-    e.preventDefault()
-    const files = e.dataTransfer.files
-    const filePath = window.explorer.onFileDrop(files[0])
-    var holdy = filePath + "";
-    if(holdy.endsWith(".mp4")){
-        console.log(filePath)
-
-        const files1 = e.dataTransfer.files;
-        handleFiles(files1);
+uploadContainer.addEventListener("dragover", (e) =>{
+    try {
+        e.stopPropagation();
+        e.preventDefault();
+    } catch (error) {
+        console.log("Error in renderer.js dragover listener function")
    }
    
-})
+});
+
+//listener for when a file get dropped on the drag&drop field
+uploadContainer.addEventListener("drop", (e) => {
+    try {
+        e.stopPropagation()
+        e.preventDefault()
+        const files = e.dataTransfer.files
+        const filePath = window.explorer.onFileDrop(files[0])
+        var holdy = filePath + "";
+        if(holdy.endsWith(".mp4") || holdy.endsWith(".mov") || holdy.endsWith(".avi") || holdy.endsWith( ".mkv")){
+            console.log(filePath)
+
+            const files1 = e.dataTransfer.files;
+            handleFiles(files1);
+        }
+    } catch (error) {
+        console.log("Error in renderer.js with the listerner for the drop function");
+    } 
+})
+
+
+ window.addEventListener('load', (e) => { 
+    console.log("test");
+    loadLanguageOptions(); 
+});
+
+language_option.addEventListener('change', (e)=>{
+    const select = document.getElementById('language_option');
+    console.log(select.value);
+    changeLanguage(select.value);
+});
@@ -1,31 +1,132 @@
-const uploadContainer = document.getElementById('uploadContainer');
-const fileInput = document.getElementById('videoUpload');
-const fileName = document.getElementById('fileName');
-const manualBtn = document.getElementById('manualUploadBtn');
-const videoPreview = document.getElementById('videoPreview');
-
-
-
-
-
-manualBtn.addEventListener('click', () => {
-  fileInput.click();
+//listener for the file explorer search
+manualUploadBtn.addEventListener('click', () => {
+  try {
+    videoUpload.click();
+  } catch (error) {
+    console.log("Error in manualBtn EventListener click");
+  }
+  
 });

+//function to check if one checkbox is at least klicked
+function checkBoxes() {
+  try {
+    const checkboxes = document.querySelectorAll('input[name="docFormat"]');
+    let isChecked = false;

-fileInput.addEventListener('change', () => {
-  handleFiles(fileInput.files);
-});
+    checkboxes.forEach(function(checkbox){
+      if(checkbox.checked){
+        isChecked = true;
+      }
+    });

-
-
-
-function handleFiles(files) {
-  if (files.length > 0) {
-    const file = files[0];
-    if (file.type.startsWith('video/')) {
-      fileInput.files = files;
-      fileName.textContent = `Chosen video: ${file.name}`;
+    if(isChecked){
+      //Code to submit the video
+      var pathTest = window.electronAPI.getFilePath(videoUpload.files[0]);
+      if(pathTest.endsWith(".mp4") || holdy.endsWith(".mov") || holdy.endsWith(".avi") || holdy.endsWith( ".mkv")){
+        window.extractor.extract({inputVideoPath: pathTest, outputType:"wav"})
+      }
+    } else {
+      //language only english at the moment
+      alert('Please select at least one document type.');
    }
+  } catch (error) {
+    console.log(error)
+  }
+  
+// mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./a.mp4", outputType:"wav"})
 }
+
+//language changing feature
+function changeLanguage(language) {
+  try {
+    document.getElementById('title').textContent = languageOptions[language].title;
+    document.getElementById('h1').textContent = languageOptions[language].h1;
+    document.getElementById('p1').textContent = languageOptions[language].p1;
+    document.getElementById('fileName').textContent = languageOptions[language].fileName;
+    document.getElementById('manualUploadBtn').textContent = languageOptions[language].manualUploadBtn;
+    document.getElementById('checkbox_group').textContent = languageOptions[language].checkbox_group;
+    document.getElementById('label_format').textContent = languageOptions[language].label_format;
+    document.getElementById('label_summary').textContent = languageOptions[language].label_summary;
+    document.getElementById('submitButton').textContent = languageOptions[language].submitButton;
+  } catch (error) {
+    console.log(error);
+  }
+        
 }
+
+//listener for the file explorer search when something got selected
+videoUpload.addEventListener('change', () => {
+  try {
+    handleFiles(videoUpload.files);
+  } catch (error) {
+    console.log("Error in manualBtn EventListener change");
+  }
+  
+});
+
+//function to display the file path in the drop down box
+function handleFiles(files) {
+  try {
+    if (files.length > 0) {
+      const file = files[0];
+      if (file.type.startsWith('video/')) {
+        videoUpload.files = files;
+        fileName.textContent = `Chosen video: ${file.name}`;
+      }
+    }
+  } catch (error) {
+    console.log("Error in script.js handleFiles function");
+  }
+  
+}
+
+//function to regulate the progress on the progressbar
+function updateProgressBar(bar, value){
+  try {
+    value = Math.round(value);
+    bar.querySelector(".progress_fill").style.width = `${value}%`;
+    bar.querySelector(".progress_text").textContent = `${value}%`;
+  } catch (error) {
+    console.log("Error in scripts.js updateProgressBar function");
+  }
+  
+}
+
+//function to load ai options to the drop down list
+function loadAiOptions(options){
+  try {
+    var menu = document.getElementById('ai_type');
+    for(i = 0; i < options.length; i++){
+      var opty = options[i];
+      var namey = "option" + i;
+      var choice = document.createElement(namey);
+      choice.textContent = "t";
+      choice.value = i;
+      menu.appendChild(choice);
+    }
+  } catch (error) {
+    console.log("Error in script.js loadAiOptions function");
+    console.log(error);
+  }
+}
+
+//function to load language options to the drop down list
+function loadLanguageOptions(){
+  try {
+    var menu = document.getElementById('language_option');
+    var object_holdy;
+    var choice ;
+    object_holdy = Object.keys(languageOptions);
+    for(i = 0; i < object_holdy.length; i++){
+      choice = document.createElement('option');
+      choice.textContent = object_holdy[i];
+      choice.value = object_holdy[i];
+      menu.appendChild(choice);
+    }
+    
+  } catch (error) {
+    console.log("Error in script.js loadLanguageOptions function");
+    console.log(error);
+  }
+}
@@ -5,7 +5,7 @@ body {
  justify-content: center;
  align-items: center;
  height: 100vh;
-  background-color: #444;
+  background-color: #555;
  gap: 15px;
  margin: 0;
 }
@@ -75,6 +75,7 @@ gap: 5px;

 .checkbox-group {
  margin-top: 15px;
+  margin-bottom: 15px;
  display: flex;
  flex-direction: column;
  gap: 10px;
@@ -92,14 +93,14 @@ gap: 5px;
 }

 .mitte {
-  background-color: #eaf0ff;
+  background-color: #f2f3f4;
  display: flex;
  flex-direction: column;
  align-items: center;
  padding: 5% 50px;
  margin-top: 20px;
  gap: 10px;
-  border: 2px;
+  border: 1px;
  border-color: black;
  border-style: solid;
 }
@@ -108,3 +109,39 @@ h1 {
  align-content: center;
 }

+.progressbar{
+  position: relative;
+  width: 210px;
+  height: 30px;
+  background: rgb(42, 46, 78);
+  border-radius: 5px;
+  overflow: hidden;
+}
+
+.progress_fill{
+  width: 0%;
+  height: 100%;
+  background: green;
+  transition: all 0.2s;
+}
+
+.progress_text{
+  position: absolute;
+  top: 50%;
+  right: 5px;
+  transform: translateY(-50%);
+  color: white;
+}
+
+.flagsBtns {
+  display: flex;
+  justify-content: flex-end;
+}
+
+.de_Btn, .eng_Btn, .in_Btn {
+  padding: 8px 16px;
+  color: white;
+  border: none;
+  border-radius: 8px;
+  cursor: pointer;
+}
@@ -55,4 +55,25 @@ rl.on("line", data =>{

 // ----------------------------------------------------------- ELECTRON ----------------------------------------------------------- //

-// TODO - Add Electron support to the project
+let mainWindow;
+
+function createWindow() {
+  mainWindow = new electron.BrowserWindow({
+    width: 800,
+    height: 600,
+    webPreferences: {
+      nodeIntegration: false,
+      contextIsolation: true,
+      preload: `${mainDir}/electron/main/preload.js`
+    }
+  });
+
+  mainWindow.loadFile('./electron/main/index.html');
+}
+
+electron.app.whenReady().then(createWindow);
+
+
+electron.ipcMain.on("extract", (event, args) => {
+    mapFunctions.get("extraction-video-to-audio").function(args)
+})
@@ -1,10 +1,12 @@
 {
-  "type": "module",
  "dependencies": {
+    "@types/axios": "^0.9.36",
    "cli-progress": "^3.12.0",
+    "dotenv": "^17.2.3",
+    "electron": "^39.1.1",
+    "express": "^5.1.0",
    "ffmpeg-static": "^5.2.0",
-    "fluent-ffmpeg": "^2.1.3",
-    "express": "^5.1.0"
+    "fluent-ffmpeg": "^2.1.3"
  },
  "devDependencies": {
    "@types/cli-progress": "^3.11.6",
@@ -22,6 +24,7 @@
    "test": "tests"
  },
  "scripts": {
+    "start": "electron main.js",
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "repository": {
@@ -31,5 +34,3 @@
  "author": "",
  "license": "ISC"
 }
-
-
@@ -0,0 +1,3 @@
+fastapi
+uvicorn
+pytest
@@ -8,3 +8,11 @@ fs              = require("fs")
 readline        = require("readline")
 config          = require("./config/config")

+ffmpegPath = require('ffmpeg-static');
+ffmpeg = require('fluent-ffmpeg');
+path = require('path');
+cliProgress = require('cli-progress');
+
+// { app, BrowserWindow, ipcMain, dialog } = require('electron');
+
+electron = require('electron');
@@ -1,5 +0,0 @@
-npx ts-node ./extract.ts /Users/mikehughes/Downloads/Testvideo/Kurzgesagt.mov
-npx ts-node ./transcribe.ts ../storage/audio/Kurzgesagt.wav
-
-npx ts-node ./extract.ts /Users/mikehughes/Downloads/Testvideo/GitLabMeeting.mov
-npx ts-node ./transcribe.ts ../storage/audio/GitLabMeeting.wav
@@ -1,23 +0,0 @@
-#!/usr/bin/env ts-node
-
-import { extractAudioFromVideo } from "../services/modules/extraction/ffmpegExtractor.ts";
-
-const videoPath = process.argv[2];
-
-if (!videoPath) {
-  console.error("Usage: ts-node extractAudio.ts <videoPath>");
-  process.exit(1);
-}
-
-(async () => {
-  try {
-    console.log(`Extracting audio from: ${videoPath}`);
-
-    await extractAudioFromVideo(videoPath); // Call the extraction function (ffmpegExtractor.ts in services/modules/extraction)
-
-    console.log("Audio extraction completed successfully.");
-  } catch (err) {
-    console.error("Audio extraction failed:", err);
-    process.exit(1);
-  }
-})();
@@ -1,18 +0,0 @@
-import { whisperLocal } from "../services/modules/transcription/local/whisperLocal.ts";
-
-const audioPath = process.argv[2];
-if (!audioPath) {
-  console.error("Please provide an audio file path as argument.");
-  process.exit(1);
-}
-
-const whisper = new whisperLocal();
-
-(async () => {
-  try {
-    const text = await whisper.transcribe(audioPath);
-    console.log(text);
-  } catch (err) {
-    console.error("Transcription failed:", err);
-  }
-})();
@@ -0,0 +1,93 @@
+
+// Ensure ffmpeg binary is available
+if (!ffmpegPath) {
+    throw new Error('FFmpeg binary not found!');
+}
+ffmpeg.setFfmpegPath(ffmpegPath);
+
+// Prepare output directory (always storage/audio under project root)
+const outputDir = `${__dirname}/../../../storage/audio`;
+if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+}
+
+
+
+module.exports = {
+    name:"extraction-video-to-audio", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"extractor", // value used to differentiate each module to order them in the UI
+    displayname:"Default extractor", // The displayname used within the UI
+    async function(parameter){
+        /*
+        parameter structure:
+        {
+            inputVideoPath: String, // Path to the file
+            outputType: String      // Audio file output format
+        }
+        */
+        let progressBar = new cliProgress.SingleBar({
+            format: 'Processing |{bar}| {percentage}% | {timemark}',
+            barCompleteChar: '\u2588',
+            barIncompleteChar: '\u2591',
+            hideCursor: true
+        });
+        try {
+            // if (meta.url === `file://${process.argv[1]}`) {
+                this.extractAudioFromVideo(parameter.inputVideoPath, progressBar, parameter.outputType)
+                    .then(() => console.log('Audio extraction successful.'))
+                    .catch((err) => console.error(err));
+            // }
+        } catch (error) {
+            console.log(parameter.outputType);
+            
+        }
+
+    },
+    // Derive input and output paths
+    // const inputVideoPath = process.argv[2];
+    // console.log(process.argv);
+
+    /**
+     * Extracts audio from a video using ffmpeg.
+     * - Converts video to WAV (16 kHz, Mono, PCM optional if needed)
+     * - Shows CLI progress bar
+     * - Handles errors gracefully (without errors)
+     */
+    extractAudioFromVideo: async function (videoFilePath, progressBar, outputType){
+        let inputVideoName = path.basename(videoFilePath, path.extname(videoFilePath));
+        let outputAudioPath = path.join(outputDir, `${inputVideoName}.${outputType}`);
+
+        return new Promise((resolve, reject) => {
+            try {
+                ffmpeg(videoFilePath)
+                .outputFormat(outputType)
+                // .audioCodec('pcm_s16le')
+                .audioChannels(1)
+                .audioFrequency(16000)
+                // .setFfmpegPath("./ffmpeg.exe")
+                .on('progress', (progress) => {
+                    if (!progressBar.isActive) progressBar.start(100, 0, { timemark: '00:00:00' });
+                    if (progress.percent) {
+                    progressBar.update(progress.percent, { timemark: progress.timemark });
+                    }
+                })
+                .on('end', () => {
+                    progressBar.update(100, { timemark: 'done' });
+                    progressBar.stop();
+                    console.log(`Extraction completed: ${outputAudioPath}`);
+                    resolve();
+                })
+                .on('error', (err) => {
+                    progressBar.stop();
+                    console.error(`failed_audio_extraction on type ${outputType}: ${err.message}`);
+                    reject(err);
+                })
+                .save(outputAudioPath);
+
+            } catch (error) {
+                console.log();
+            }
+        });
+    }
+
+}
@@ -1,90 +0,0 @@
-import ffmpegPath from 'ffmpeg-static';
-import ffmpeg from 'fluent-ffmpeg';
-import path from 'path';
-import fs from 'fs';
-import cliProgress from 'cli-progress';
-import { fileURLToPath } from 'url';
-
-// Base code reference: https://docs.yemreak.com/arsiv/programming/extract-audio-from-video-with-typescript-and-ffmpeg
-// Test command: npx ts-node ./extract.ts /path/to/video.mp4
-
-/**
- * Extracts audio from a video file and saves it as WAV.
- * @param videoFilePath Path to the input video file.
- */
-
-// Ensure ffmpeg binary is available
-if (!ffmpegPath) {
-  throw new Error('FFmpeg binary not found!');
-}
-ffmpeg.setFfmpegPath(ffmpegPath);
-
-// Ensure an input video path is provided via CLI
-if (process.argv.length < 3) {
-  console.error('Usage: ts-node ./extract.ts <input-video-path>');
-  process.exit(1);
-}
-
-// Resolve __dirname equivalent in ESM
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = path.dirname(__filename);
-
-// Prepare output directory (always storage/audio under project root)
-const outputDir = path.join(__dirname, '..', '..', '..', 'storage', 'audio');
-if (!fs.existsSync(outputDir)) {
-  fs.mkdirSync(outputDir, { recursive: true });
-}
-
-// Derive input and output paths
-const inputVideoPath = process.argv[2];
-const inputVideoName = path.basename(inputVideoPath, path.extname(inputVideoPath));
-const outputAudioPath = path.join(outputDir, `${inputVideoName}.wav`);
-
-// Initialize CLI progress bar
-const progressBar = new cliProgress.SingleBar({
-  format: 'Processing |{bar}| {percentage}% | {timemark}',
-  barCompleteChar: '\u2588',
-  barIncompleteChar: '\u2591',
-  hideCursor: true
-});
-
-/**
- * Extracts audio from a video using ffmpeg.
- * - Converts video to WAV (16 kHz, Mono, PCM optional if needed)
- * - Shows CLI progress bar
- * - Handles errors gracefully (without errors)
- */
-export function extractAudioFromVideo(videoFilePath: string): Promise<void> {
-  return new Promise((resolve, reject) => {
-    ffmpeg(videoFilePath)
-      .outputFormat('wav')
-      .audioCodec('pcm_s16le')
-      .audioChannels(1)
-      .audioFrequency(16000)
-      .on('progress', (progress) => {
-        if (!progressBar.isActive) progressBar.start(100, 0, { timemark: '00:00:00' });
-        if (progress.percent) {
-          progressBar.update(progress.percent, { timemark: progress.timemark });
-        }
-      })
-      .on('end', () => {
-        progressBar.update(100, { timemark: 'done' });
-        progressBar.stop();
-        console.log(`Extraction completed: ${outputAudioPath}`);
-        resolve();
-      })
-      .on('error', (err) => {
-        progressBar.stop();
-        console.error(`failed_audio_extraction: ${err.message}`);
-        reject(err);
-      })
-      .save(outputAudioPath);
-  });
-}
-
-// Run extraction if executed directly from CLI
-if (import.meta.url === `file://${process.argv[1]}`) {
-  extractAudioFromVideo(inputVideoPath)
-    .then(() => console.log('Audio extraction successful.'))
-    .catch((err) => console.error(err));
-}
@@ -0,0 +1,76 @@
+const outputDir = path.join(__dirname, "../../../storage/documents"); //  path for output directory
+
+if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true }); // Create output directory if it doesn't exist
+}
+
+// Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
+
+const GEMINI_API_KEY = process.env.GOOGLE_API_KEY; // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
+const GEMINI_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"; //URL for the REST call, used model and action
+
+module.exports = {
+    name: "llm-gemini",
+    type: "llm",
+    displayname: "Gemini LLM",
+    description: "Generates documents using Google Gemini LLM",
+
+    async function(parameter) {
+        try {
+            console.log("Gemini LLM module invoked with parameters:", parameter);
+
+            await this.createDocumentFromTranscript( //Call the function to create document with transcript, document type and language
+                parameter.inputTranscriptPath, // Path to input transcript file
+                parameter.documentTypePath, // Path to document type file which is chosen in the front end by the user
+                parameter.language // Language for the document which is chosen in the front end by the user
+            );
+
+        } catch (error) {
+            console.error("Error in Gemini LLM module:", error);
+        }
+    },
+
+    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
+        try {
+            const transcript = await fs.promises.readFile(transcriptPath, "utf-8"); //read transcript file from Path
+            const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); //read document type from Path
+            const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`; //combine doc type, language and transcript - Change prompt here if needed
+
+            // --- REST CALL ---
+            const response = await fetch(`${GEMINI_URL}?key=${GEMINI_API_KEY}`, { //safe model response in variable
+                method: "POST",
+                headers: {
+                    "Content-Type": "application/json"
+                },
+                body: JSON.stringify({
+                    contents: [
+                        {
+                            parts: [
+                                { text: promptText } // Input prompt for content generation
+                            ]
+                        }
+                    ]
+                })
+            });
+
+            if (!response.ok) { //ok is true when a responce was successfull
+                const text = await response.text();
+                throw new Error(`Gemini API error (${response.status}): ${text}`);
+            }
+
+            const data = await response.json();
+
+            // Get generated text from response or default to empty string (if null)
+            const output = data?.candidates?.[0]?.content?.parts?.[0]?.text || "";
+            let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
+            console.log(inputTranscriptName);
+            const outPath = path.join(outputDir, `${inputTranscriptName}.md`); // Output file path & name to make naming dynamic. Pulled from input transcript name
+            fs.writeFileSync(outPath, output, "utf8"); // Write output to file
+
+            console.log("Generated document written to:", outPath);
+
+        } catch (error) {
+            console.error("Error generating Gemini content:", error);
+        }
+    }
+};
@@ -5,7 +5,7 @@ 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");
+const transcriptsDir = path.resolve(__dirname, "../../../storage/transcriptions");


 export class whisperLocal { // is called by transcribe.ts
@@ -26,7 +26,6 @@ export class whisperLocal { // is called by transcribe.ts

  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 });
@@ -0,0 +1,133 @@
+import 'dotenv/config';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const API_KEY = process.env.ASSEMBLYAI_API_KEY;
+const BASE_URL = 'https://api.assemblyai.com/v2';
+
+/**
+ * Uploads audio file to AssemblyAI
+ */
+async function uploadAudio(audioPath: string): Promise<string> {
+  const audioData = fs.readFileSync(audioPath);
+  
+  const response = await axios.post<{ upload_url: string }>(`${BASE_URL}/upload`, audioData, {
+    headers: {
+      'authorization': API_KEY,
+      'content-type': 'application/octet-stream'
+    }
+  });
+  
+  return response.data.upload_url;
+}
+
+/**
+ * Extract a session id (basename without extension) from a local path or a URL
+ */
+function getSessionId(inputPath: string): string {
+  try {
+    const parsed = new URL(inputPath);
+    const base = path.basename(parsed.pathname);
+    return base.replace(/\.[^.]+$/, '');
+  } catch (err) {
+    // not a URL, treat as local path
+    return path.basename(inputPath, path.extname(inputPath));
+  }
+}
+
+/**
+ * Creates transcription job with speaker diarization
+ */
+async function createTranscript(audioUrl: string): Promise<string> {
+  const response = await axios.post<{ id: string }>(`${BASE_URL}/transcript`, {
+    audio_url: audioUrl,
+    speaker_labels: true,
+    language_detection: true
+  }, {
+    headers: {
+      'authorization': API_KEY,
+      'content-type': 'application/json'
+    }
+  });
+  
+  return response.data.id;
+}
+
+/**
+ * Polls transcript status until completed
+ */
+async function pollTranscript(transcriptId: string): Promise<any> {
+  while (true) {
+    const response = await axios.get<any>(`${BASE_URL}/transcript/${transcriptId}`, {
+      headers: { 'authorization': API_KEY }
+    });
+    
+    const status = response.data.status;
+    
+    if (status === 'completed') {
+      return response.data;
+    } else if (status === 'error') {
+      throw new Error(`Transcription failed: ${response.data.error}`);
+    }
+    
+    // Wait 3 seconds before next poll
+    await new Promise(resolve => setTimeout(resolve, 3000));
+  }
+}
+
+/**
+ * Saves transcript to storage
+ */
+function saveTranscript(transcript: any, sessionId: string): void {
+  const outputDir = path.join(__dirname, '..', '..', '..', 'storage', 'transcripts');
+  
+  if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+  }
+  
+  const outputPath = path.join(outputDir, `${sessionId}.json`);
+  fs.writeFileSync(outputPath, JSON.stringify(transcript, null, 2));
+  
+  console.log(`✅ Transcript saved: ${outputPath}`);
+}
+
+export default {
+  name: "assembly",
+  type: "transcription",
+  displayname: "AssemblyAI",
+  run: async (audioPath: string) => {
+    try {
+      // Determine if audioPath is an external URL or a local file
+      let audioUrl: string;
+      if (/^https?:\/\//i.test(audioPath)) {
+        console.log('🔗 Using external audio URL...');
+        audioUrl = audioPath;
+      } else {
+        console.log('🔄 Uploading local audio...');
+        if (!fs.existsSync(audioPath)) {
+          throw new Error(`Audio file not found: ${audioPath}`);
+        }
+        audioUrl = await uploadAudio(audioPath);
+      }
+      
+      console.log('🔄 Creating transcript job...');
+      const transcriptId = await createTranscript(audioUrl);
+      
+      console.log('⏳ Waiting for transcription...');
+      const transcript = await pollTranscript(transcriptId);
+      
+  const sessionId = getSessionId(audioPath);
+      saveTranscript(transcript, sessionId);
+      
+      return transcript;
+    } catch (error: any) {
+      console.error('❌ Transcription error:', error.message);
+      throw error;
+    }
+  }
+};
@@ -5,5 +5,9 @@ module.exports = {

        // We are now calling the example function from the example folder
        mapFunctions.get("example").function("Startup")
+
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./a.mp4", outputType:"wav"})
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"wav"})
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"flac"})
    }
 }
@@ -0,0 +1,52 @@
+// services/pipeline/jobs/transcribeLatest.ts
+import path from 'path';
+import fs from 'fs';
+import assembly from '../../modules/transcription/assembly';
+
+/**
+ * Finds the most recently modified .wav file in storage/audio/
+ */
+function getLatestWav(): string {
+  const audioDir = path.join(process.cwd(), 'storage', 'audio');
+  const files = fs.readdirSync(audioDir).filter(f => f.toLowerCase().endsWith('.wav'));
+  if (files.length === 0) throw new Error('⚠️ No .wav file found in storage/audio');
+
+  const newest = files
+    .map(f => ({ f, t: fs.statSync(path.join(audioDir, f)).mtimeMs }))
+    .sort((a, b) => b.t - a.t)[0].f;
+
+  return path.join(audioDir, newest);
+}
+
+/**
+ * Full transcription pipeline according to the defined workflow:
+ * 1. Audio Upload → AssemblyAI
+ * 2. Job Creation (transcript_id)
+ * 3. Polling Status (queued → processing → completed)
+ * 4. Download Transcript JSON
+ * 5. Storage: /transcripts/{session_id}.json
+ */
+async function main() {
+  const audioPath = getLatestWav();
+
+  console.log('1️⃣ Audio Upload → AssemblyAI');
+  console.log('   Source:', audioPath);
+
+  console.log('2️⃣ Job Creation (transcript_id)');
+  console.log('3️⃣ Polling Status (queued → processing → completed)');
+  console.log('4️⃣ Download Transcript JSON');
+  console.log('5️⃣ Storage: /transcripts/{session_id}.json');
+
+  // Execute the transcription process via the AssemblyAI module
+  const result = await assembly.run(audioPath);
+
+  console.log('✅ Transcription completed successfully');
+  console.log('🆔 Transcript ID:', result.id);
+  console.log('📁 Transcript file saved under: storage/transcripts/');
+}
+
+// Entry point
+main().catch((err) => {
+  console.error('❌ Transcription pipeline failed:', err.message || err);
+  process.exit(1);
+});
@@ -0,0 +1,14 @@
+import 'dotenv/config';
+import assemblyModule from '../../services/modules/transcription-remote/assembly.ts';
+
+// Test: URL passed as argument OR local file ./storage/audio/test.wav
+const audioPath = process.argv[2] || './storage/audio/test.wav';
+
+assemblyModule.run(audioPath)
+  .then(result => {
+    console.log('✅ Success!');
+    console.log('Transcript ID:', result.id);
+  })
+  .catch(error => {
+    console.error('❌ Error:', error?.message || error);
+  });
@@ -0,0 +1,39 @@
+
+**Goal:** Generate a structured meeting report (Markdown). **Output ONLY:** final .md. No meta.
+
+```json
+{
+  "FORMAT": "markdown",
+
+  "STRUCTURE": {
+    "titlepage": ["title","date","start","end","duration","location","host","participants"],
+    "toc": "[section](#anchor) — HH:MM:SS",
+    "section": {
+      "h2": "<topic> — HH:MM:SS",
+      "summary": "1 sentence",
+      "key_points": "<=5 bullets, quotes optional",
+      "decisions": "list: text | owner | due",
+      "actions": "table: id | task | owner | due | status"
+    },
+    "exec_summary": "3 short sentences",
+    "consolidated": ["decisions", "actions"],
+    "appendix": "optional"
+  },
+
+  "STYLE": {
+    "tone": "neutral, concise",
+    "ts_format": "HH:MM:SS",
+    "no_meta": true
+  },
+
+  "PROCESS": {
+    "timestamps": "use if present; else estimate minimal",
+    "speakers": "use labels; else Speaker X",
+    "long_transcripts": "chunk → summarize → merge",
+    "unclear": "UNKLAR:<reason>"
+  },
+
+  "JSON_OUTPUT_OPTIONAL": true,
+
+  "PROMPT_SNIPPET": "Generate meeting report in markdown using STRUCTURE and STYLE. Output only the report."
+}
@@ -0,0 +1,7 @@
+const gemini = require("../../../services/modules/llm-gemini/gemini.js");
+
+gemini.function({
+    inputTranscriptPath: "./transcript.json",
+    documentTypePath: "./documentType.json",
+    language: "de"
+});
@@ -0,0 +1,122 @@
+[
+  {
+    "speaker": "A",
+    "sentence": "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter DeCarlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Good morning, Professor.",
+    "start": 240,
+    "end": 26560
+  },
+  {
+    "speaker": "B",
+    "sentence": "Good morning.",
+    "start": 28060,
+    "end": 28620
+  },
+  {
+    "speaker": "A",
+    "sentence": "So what is it about the conditions right now that have caused this round of wildfires to affect so many people so far away?",
+    "start": 29100,
+    "end": 37100
+  },
+  {
+    "speaker": "B",
+    "sentence": "Well, there's a couple of things. The season has been pretty dry already, and then the fact that we're getting hit in the US is because there's a couple weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the mid Atlantic and the Northeast and kind of just dropping the smoke there.",
+    "start": 39100,
+    "end": 55820
+  },
+  {
+    "speaker": "A",
+    "sentence": "So what is it in this haze that makes it harmful? And I'm assuming it is harmful.",
+    "start": 56590,
+    "end": 60670
+  },
+  {
+    "speaker": "B",
+    "sentence": "It is, it is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what's called particulate matter, which are tiny particles, microscopic, smaller than the width of your hair, that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological, your brain.",
+    "start": 62350,
+    "end": 82590
+  },
+  {
+    "speaker": "A",
+    "sentence": "What makes this particularly harmful? Is it the volume of particulate? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more?",
+    "start": 83630,
+    "end": 92190
+  },
+  {
+    "speaker": "B",
+    "sentence": "Yeah. So the concentration of particulate matter, I was looking at some of the monitors that we have was reaching levels of what are, in science speak, 150 micrograms per meter cubed, which is more than 10 times what the annual average should be in about four times higher than what you're supposed to have on a 24 hour average. And so the concentrations of these particles in the air are just much, much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems.",
+    "start": 93550,
+    "end": 123350
+  },
+  {
+    "speaker": "A",
+    "sentence": "And who is most vulnerable? I noticed that in New York City, for example, they're canceling outdoor activities. And so here it is in the early days of summer and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this?",
+    "start": 123430,
+    "end": 135990
+  },
+  {
+    "speaker": "B",
+    "sentence": "It's the youngest. So children, obviously, whose bodies are still developing, the elderly who are, you know, their bodies are more in decline and they're more susceptible to the health impacts of breathing, the poor air quality. And then people who have pre existing health conditions, people with respiratory conditions or heart conditions, can be triggered by high levels of air pollution.",
+    "start": 137610,
+    "end": 156650
+  },
+  {
+    "speaker": "A",
+    "sentence": "Could this get worse?",
+    "start": 157450,
+    "end": 158650
+  },
+  {
+    "speaker": "B",
+    "sentence": "That's a good question. I mean, I think if in some areas it's much worse than others and it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that's going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations.",
+    "start": 162170,
+    "end": 183420
+  },
+  {
+    "speaker": "A",
+    "sentence": "I was going to ask you about.",
+    "start": 183740,
+    "end": 184660
+  },
+  {
+    "speaker": "B",
+    "sentence": "More fires start burning. I don't expect the concentrations to go up too much higher.",
+    "start": 184660,
+    "end": 189020
+  },
+  {
+    "speaker": "A",
+    "sentence": "I was going to ask you how and you started to answer this, but how much longer could this last? Forgive me if I'm asking you to speculate, but what do you think?",
+    "start": 189100,
+    "end": 196220
+  },
+  {
+    "speaker": "B",
+    "sentence": "Well, I think the fires are going to burn for a little bit longer. But the key for us in the US Is the weather system changing. Right now it's the weather systems that are pulling that air into our Mid Atlantic and Northeast region. As those weather systems change and shift, we'll see that smoke going elsewhere and not impact us in this region as much. I think that's going to be the defining factor. I think the next couple days we're going to see a shift in that weather pattern and start to push the smoke away from where we are.",
+    "start": 198280,
+    "end": 227480
+  },
+  {
+    "speaker": "A",
+    "sentence": "And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances?",
+    "start": 227930,
+    "end": 239850
+  },
+  {
+    "speaker": "B",
+    "sentence": "I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer and we're seeing more frequent fires. So yeah, this is probably something that we'll be seeing more, more frequently. This tends to be much more of an issue in the western U.S. so the eastern U.S. getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently.",
+    "start": 241370,
+    "end": 267570
+  },
+  {
+    "speaker": "A",
+    "sentence": "That's Peter DeCarlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Professor DeCarlo, thanks so much for joining us and sharing this expertise with us.",
+    "start": 267970,
+    "end": 278210
+  },
+  {
+    "speaker": "B",
+    "sentence": "Thank you for having me.",
+    "start": 279410,
+    "end": 280530
+  }
+]
@@ -0,0 +1,8 @@
+from fastapi.testclient import TestClient
+from app.main import app
+
+client = TestClient(app)
+
+def test_health():
+    response = client.get("/health")
+    assert response.status_code == 200
Author	SHA1	Message	Date
MikeHughes-BIN	e543438592	Solved merge conflicts (hopefully)	2025-11-26 21:41:59 +01:00
MikeHughes-BIN	4d850bf6a6	Rewritten Module to use the REST API instead of a the Google Gemini SDK. Also output file naming is now dynamic instead of static file name	2025-11-25 23:57:19 +01:00
MikeHughes-BIN	4ade9575f3	Changes to the test	2025-11-20 16:30:47 +01:00
MikeHughes-BIN	a178ccf30f	Added comments to my code to make it more understandable	2025-11-18 19:53:19 +01:00
MikeHughes-BIN	75a454ad60	Moved test files into integration folder as they use multiple different components	2025-11-18 19:38:33 +01:00
MikeHughes-BIN	a1d804f463	Test created and changes to gemini.js file	2025-11-18 19:16:51 +01:00
MikeHughes-BIN	8e7e0b5043	Implement Gemini LLM module for document generation (first non tested prototype)	2025-11-17 21:16:50 +01:00
Hughes, Mike	4b72568ad3	Merge branch 'feature/ui-test' into 'develop' Implemented a dropdown field for the languages as well as functions and a file... See merge request proj-wise2526-video2document/video2document!23	2025-11-16 14:52:29 +01:00
MikeHughes-BIN	76c18fa713	Merge branch 'develop' into feature/ui-test	2025-11-15 15:46:26 +01:00
Spanier, Pit	2edc7f8351	Merge branch 'fix/transcription-module-fix' into 'develop' New Folder structure See merge request proj-wise2526-video2document/video2document!21	2025-11-15 15:11:35 +01:00
MikeHughes-BIN	6083773f88	New Folder structure	2025-11-15 14:45:13 +01:00
eric.minning	4a91f03289	Implemented a dropdown field for the languages as well as functions and a file to easily implement other languages.	2025-11-14 18:32:41 +01:00
Spanier, Pit	444d408480	Merge branch 'feature/fixing-the-program' into 'develop' fixed the program by moving the example module back to where the program can ACTUALLY load it See merge request proj-wise2526-video2document/video2document!20	2025-11-14 14:30:16 +01:00
emily	d9eacafc3a	fixed the program by moving the example module back to where the program can ACTUALLY load it	2025-11-14 14:28:11 +01:00
Hughes, Mike	ab737f0dc9	Merge branch 'feature/12-externe-transkription-s2-02b' into 'develop' feat(S2-02b): Implement AssemblyAI external transcription with speaker diarization See merge request proj-wise2526-video2document/video2document!18	2025-11-13 17:38:39 +01:00
MikeHughes-BIN	79e0c48755	Reduced Number of test paths to avoid redundancy	2025-11-13 17:35:40 +01:00
MikeHughes-BIN	9254ddc57f	Changed the Folder Structure for better maintainability	2025-11-13 17:34:22 +01:00
Azeufack Noupeu Willy	c021272ca4	merge: Resolve conflicts with develop	2025-11-13 15:22:33 +01:00
Azeufack Noupeu Willy	e7e97a7f60	feat(S2-02b): Implement AssemblyAI external transcription with speaker diarization - Add assembly.ts module for REST API transcription via AssemblyAI - Implement 5-step pipeline: upload → create job → poll status → download → save - Enable speaker_labels for diarization (Speaker A, B, C...) - Add millisecond-precision timestamps for each utterance - Store JSON transcripts in storage/transcripts/{session_id}.json - Add axios, dotenv dependencies - Add transcribeLatest.ts helper for quick testing User Story: S2-02b - Externe Transkription per REST API	2025-11-13 13:07:18 +01:00
Spanier, Pit	80392874bb	Merge branch 'feature/combination-of-all-the-things' into 'develop' Fixed an error in checkBoxes function and uploadContainer "drop" listener... See merge request proj-wise2526-video2document/video2document!15	2025-11-12 20:56:11 +01:00
emily	94f390f28b	Implemented audio extractor into IPC call, sooooooo, frontend and backend are now officially linked successfully	2025-11-12 20:28:55 +01:00
emily	73f6fa7524	fixed the code so that it now returns the actual path of the file	2025-11-12 20:24:45 +01:00
eric.minning	1a681eb2b8	Improved error log and implemented a variable and function for file path storage	2025-11-12 20:14:56 +01:00
emily	87e3368a9a	fixed code	2025-11-12 20:04:48 +01:00
emily	6d9c94c685	removed some debug console outputs	2025-11-12 20:03:09 +01:00
emily	fbd5368223	Implemented functionality to have the UI be able to communicate with the backend	2025-11-12 20:00:25 +01:00
emily	449255dda1	Merge commit 'c8cbd4e92a034fa108d06337a3e63d24e529432f' into feature/combination-of-all-the-things	2025-11-12 19:55:50 +01:00
eric.minning	c8cbd4e92a	Fixed an error in checkBoxes function and uploadContainer "drop" listener regarding file path testing	2025-11-12 18:52:28 +01:00
eric.minning	0f54edb0aa	Removed the variables at the start of the script.js file	2025-11-12 18:44:27 +01:00
eric.minning	54f1f6c135	Added the check if a path is selected and the call to the transcript functio.	2025-11-12 18:16:27 +01:00
Verena Schulz	a32e7e5744	Checkboxes check (with alert)	2025-11-12 17:39:02 +01:00
Verena Schulz	d9e96316c0	Language selection implemented and UI reworked	2025-11-11 18:31:01 +01:00
eric.minning	da3a8c7d8c	Added try/catch handling and some comments	2025-11-11 16:02:07 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	af794e0245	Merge branch 'feature/ci-pipeline-s1-09a-1' into 'develop' Feature/ci pipeline s1 09a 1 See merge request proj-wise2526-video2document/video2document!7	2025-11-10 18:07:55 +01:00
emily	dfe91bb15a	Merge commit '3a8963b49d96d0746b64244fa17458d4ae68ec45' into feature/combination-of-all-the-things	2025-11-10 17:01:30 +01:00
emily	92043440fe	Combined Frontend with backend, and implemented the extractor function into the module structure	2025-11-10 16:18:57 +01:00
emily	bd8ed1bf81	added mp4, flac and wav files to gitignore	2025-11-10 16:12:59 +01:00
Spanier, Pit	3a8963b49d	Merge branch 'feature/ui-test' into 'develop' Added a progressbar See merge request proj-wise2526-video2document/video2document!13	2025-11-10 15:43:55 +01:00
eric.minning	f4c45f8371	Added a progressbar	2025-11-10 15:38:59 +01:00
Hughes, Mike	73ad7b0687	Merge branch 'feature/modulare-pipeline-s1-04' into 'develop' Implemented the general modular framework. See merge request proj-wise2526-video2document/video2document!12	2025-11-08 14:59:56 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	fb173a4041	Update .gitlab-ci.yml file	2025-11-06 16:21:01 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	b70680e950	Ci file	2025-11-06 16:00:28 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	a069452f87	requirements	2025-11-06 15:53:38 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	fd4d342eeb	Delete .gitlab-ci.yml	2025-11-06 15:52:45 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	70221683c3	tesing	2025-11-06 15:51:56 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	a92e33fa59	Add new directory	2025-11-06 15:51:08 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	0dc2ebe99c	App	2025-11-06 15:50:10 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan	a0fe1a80e3	Add new directory	2025-11-06 15:49:27 +01:00