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73 Commits

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
MikeHughes-BIN 10b1c8e79e Merge branch 'feature/modulare-pipeline-s1-04' into develop 2025-11-08 14:53:48 +01:00
Hughes, Mike 6182aec35b Merge branch 'feature/x-local-audio-transcription' into 'develop'
Feature/x local audio transcription

See merge request proj-wise2526-video2document/video2document!10
2025-11-08 14:47:05 +01:00
Hughes, Mike 086a41e515 Merge branch 'feature/11-audio-extraktion-s2-02a' into 'develop'
Feature/11 audio extraktion s2 02a

See merge request proj-wise2526-video2document/video2document!8
2025-11-08 14:21:06 +01:00
Minning, Eric 563bedbeb1 Merge branch 'feature/ui-test' into 'develop'
Created a preload.js, small changes in the package.json, main.js, index.html...

See merge request proj-wise2526-video2document/video2document!9
2025-11-08 14:19:47 +01:00
MikeHughes-BIN cfa37b9f2f additional test for commands.txt and fix for correct path in the ffmpegExtractor module 2025-11-08 13:26:35 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan fb173a4041 Update .gitlab-ci.yml file 2025-11-06 16:21:01 +01:00
Hughes, Mike 0e85b01be4 Merge branch 'API_Skeleton' into 'develop'
Api skeleton

See merge request proj-wise2526-video2document/video2document!6
2025-11-06 16:03:47 +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
MikeHughes-BIN 9902b0421e Implemented local transcription solution with starting scripts 2025-11-06 09:58:28 +01:00
Verena Schulz 26f8715ae8 First design 2025-11-05 18:45:07 +01:00
Verena Schulz c638f55ba5 Merge branch 'feature/ui-test' of https://gitlab.rlp.net/proj-wise2526-video2document/video2document into feature/ui-test 2025-11-05 17:41:48 +01:00
Verena Schulz 014bf41a7d Checkbox improvement 2025-11-05 17:41:09 +01:00
eric.minning ea1f13f8c4 Improved drag & drop file path search 2025-11-05 17:37:52 +01:00
Verena Schulz 99c8bea0be Chechboxes and submit button 2025-11-05 17:05:29 +01:00
Verena Schulz 5d9e41d0f3 dropdown menu base 2025-11-04 17:51:39 +01:00
eric.minning 4686d17ad9 Created a preload.js, small changes in the package.json, main.js, index.html and script.js like removing whitespace 2025-11-04 17:18:45 +01:00
Verena Schulz 38d0934232 created main 2025-11-04 15:50:07 +01:00
eric.minning 381ad6d192 Installed electron 2025-11-04 15:37:27 +01:00
emily b5fe3f3b0c Implemented the general modular framework.
Added basic modules for the trascription tool Assembly and the Documentation tool ChatGPT
2025-11-03 17:48:29 +01:00
eric.minning 291fda8711 First base setup from Verena and me regarding the UI 2025-11-03 13:13:42 +01:00
MikeHughes-BIN 029f40057a Added some improved commentary 2025-11-02 17:46:36 +01:00
MikeHughes-BIN 461998cd66 Implemented first working version of the ffmpeg audio extractor 2025-11-02 17:43:08 +01:00
Hughes, Mike 749e44f322 Merge branch 'feature/11-audio-extraktion-s2-02a' into 'main'
Project folder structure

See merge request proj-wise2526-video2document/video2document!4
2025-11-02 17:29:59 +01:00
Hughes, Mike 2c2d9a3c64 Merge branch 'feature/11-audio-extraktion-s2-02a' into 'develop'
Feature/11 audio extraktion s2 02a

See merge request proj-wise2526-video2document/video2document!3
2025-11-01 19:28:52 +01:00
MikeHughes-BIN 816f0ec6e7 Project folder structure 2025-11-01 19:20:35 +01:00
Hughes, Mike db2e2bc52b Merge branch 'premanathan.aarthi.manivannan-main-patch-15511' into 'main'
add Ci file

See merge request proj-wise2526-video2document/video2document!2
2025-11-01 17:09:49 +01:00
Aarthi Manivannan, Premanathan Aarthi Manivannan f46fa6ccf2 add Ci file 2025-11-01 12:07:57 +01:00
51 changed files with 4157 additions and 0 deletions
+7
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@@ -962,3 +962,10 @@ app.*.symbols
!**/ios/**/default.perspectivev3 !**/ios/**/default.perspectivev3
!/packages/flutter_tools/test/data/dart_dependencies_test/**/.packages !/packages/flutter_tools/test/data/dart_dependencies_test/**/.packages
!/dev/ci/**/Gemfile.lock !/dev/ci/**/Gemfile.lock
#Storage files
storage/
*.mp4
*.wav
*.flac
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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
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+7
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@@ -0,0 +1,7 @@
from fastapi import FastAPI
app = FastAPI()
@app.get("/health")
def health_check():
return {"status": "ok"}
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module.exports = {
database:{
/*
Here is an example structure of the config file
You can ofcourse change anything here to suit your needs
This structure is useful if you are using a mysql/mariadb database for example
*/
host:"", // Server IP and port if you have set a different port
username:"", // Username for the database user
password:"", // Password for the database user
database:"" // Name of the database
}
}
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<!DOCTYPE html>
<html lang="de">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title id="title">Video to document</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<div class="mitte" id="mitte">
<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 id="p1">Drag and drop video file</p>
<div class="file-name" id="fileName">No video chosen</div>
</div>
<button class="custom-btn" id="manualUploadBtn">Search video</button>
<input type="file" id="videoUpload" accept="video/*">
<div class="checkbox-group">
<label id="checkbox_group" for="checkbox-group">Choose prefered document style:</label>
<div class="checkbox-container">
<input type="checkbox" name ="docFormat" id="docFormat">
<label id="label_format" for="docFormat">Meeting report</label>
</div>
<div class="checkbox-container">
<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" onclick="checkBoxes()">Submit</button>
<div class="progressbar">
<div class="progress_fill"></div>
<span class="progress_text">0%</span>
</div>
</div>
<script src="languages.js"></script>
<script src="script.js"></script>
<script src="./renderer.js"></script>
</body>
</html>
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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"
}
};
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@@ -0,0 +1,44 @@
import { app, BrowserWindow, ipcMain, dialog } from 'electron';
import { exec } from 'child_process';
import path from 'path';
import { fileURLToPath } from 'url';
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
let mainWindow;
function createWindow() {
mainWindow = new BrowserWindow({
width: 800,
height: 600,
webPreferences: {
nodeIntegration: false,
contextIsolation: true,
preload: path.join(__dirname, 'preload.js')
}
});
mainWindow.loadFile('main/index.html');
}
app.whenReady().then(createWindow);
// Kommunikation vom Renderer (Frontend)
ipcMain.handle('convert-video', async (event, filePath) => {
const output = path.join(path.dirname(filePath), 'converted.mp4');
return new Promise((resolve, reject) => {
exec(`ffmpeg -i "${filePath}" -vcodec libx264 "${output}"`, (error, stdout, stderr) => {
if (error) {
console.error('Fehler beim Konvertieren:', error);
reject(error);
} else {
console.log('Konvertierung abgeschlossen:', output);
resolve(output);
}
});
});
});
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const { contextBridge, ipcRenderer, webUtils } = require('electron')
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");
}
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@@ -0,0 +1,41 @@
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);
});
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//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;
checkboxes.forEach(function(checkbox){
if(checkbox.checked){
isChecked = true;
}
});
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);
}
}
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body {
font-family: Arial, sans-serif;
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
height: 100vh;
background-color: #555;
gap: 15px;
margin: 0;
}
.upload-container {
background: white;
padding: 40px;
border-radius: 12px;
box-shadow: 0 4px 10px rgba(0,0,0,0.1);
text-align: center;
width: 400px;
transition: border 0.3s, background-color 0.3s;
border: 2px dashed #ccc;
}
.upload-container.dragover {
border-color: #007BFF;
background-color: #eaf0ff;
}
.upload-container p {
margin: 0 0 15px 0;
font-size: 16px;
color: #555;
}
.file-name {
margin-top: 10px;
font-size: 14px;
color: #333;
}
.custom-btn {
padding: 10px 20px;
background-color: #007BFF;
color: white;
border: none;
border-radius: 8px;
cursor: pointer;
font-size: 14px;
}
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+872
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}
+16
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@@ -0,0 +1,16 @@
{
"name": "electron",
"version": "1.0.0",
"main": "main/main.js",
"type": "module",
"scripts": {
"start": "electron.",
"test": "echo \"Error: no test specified\" && exit 1"
},
"author": "",
"license": "ISC",
"description": "",
"devDependencies": {
"electron": "^39.0.0"
}
}
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+79
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@@ -0,0 +1,79 @@
// Loading required packages
require("./requires.js")
console.log(start);
// Initialising map to be used to store the functionality later on for reloadability
mapFunctions = new Map()
// Loading the Function Map
var path = `${mainDir}/services/modules`
var folders = fs.readdirSync(path).filter(function (file) {
return fs.statSync(path+'/'+file).isDirectory();
});
folders.forEach(element => {
var commandFiles = fs.readdirSync(`${path}/${element}`).filter(file => file.endsWith('.js') && !file.startsWith("index"));
for (const file of commandFiles) {
delete require.cache[require.resolve(`${path}/${element}/${file}`)];
const command = require(`${path}/${element}/${file}`);
mapFunctions.set(command.name, command);
}
});
// The startup information for the project, here you can add stuff that might be nice to see when the app starts
mapFunctions.get("Startup_function").function()
console.log("------------------------------------ Status ------------------------------------");
console.log(__dirname);
console.log(platform);
console.log(`The Startup took ${new Date() - start}ms`)
console.log(`${mapFunctions.size} Function modules loaded`);
console.log("--------------------------------------------------------------------------------");
// --------------------------------------------------------- CLI COMMANDS --------------------------------------------------------- //
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
rl.on("line", data =>{
const args = data.trim().split(" ");
const command = args.shift().toLowerCase();
mapFunctions.get("cliCommands").function(command, args)
})
// ----------------------------------------------------------- ELECTRON ----------------------------------------------------------- //
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)
})
+1937
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+36
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@@ -0,0 +1,36 @@
{
"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"
},
"devDependencies": {
"@types/cli-progress": "^3.11.6",
"@types/fluent-ffmpeg": "^2.1.28",
"@types/node": "^24.9.2",
"ts-node": "^10.9.2",
"typescript": "^5.9.3"
},
"name": "video2document",
"version": "1.0.0",
"description": "To make it easy for you to get started with GitLab, here's a list of recommended next steps.",
"main": "main.js",
"directories": {
"doc": "docs",
"test": "tests"
},
"scripts": {
"start": "electron main.js",
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": {
"type": "git",
"url": "https://gitlab.rlp.net/proj-wise2526-video2document/video2document"
},
"author": "",
"license": "ISC"
}
+3
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@@ -0,0 +1,3 @@
fastapi
uvicorn
pytest
+18
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@@ -0,0 +1,18 @@
// Here you can define all the packages that you want to use
// You can also define variables that you want to be able to use in your entire project, like platform or mainDir in this example
// Make sure to define them like these examples here, as they will then be available as global variables throughout your entire project
start = new Date()
platform = process.platform
mainDir = __dirname
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');
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@@ -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();
}
});
}
}
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module.exports = {
name:"chatgpt", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
type:"document", // value used to differentiate each module to order them in the UI
displayname:"ChatGPT", // The displayname used within the UI
async function(parameter){
// TODO add code to actually send the transcript to ChatGPT and get a response back
}
}
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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);
}
}
};
@@ -0,0 +1,54 @@
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) => {
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 = `${outputBase}.txt`;
if (fs.existsSync(outputTxt)) {
const transcript = fs.readFileSync(outputTxt, "utf8");
resolve(transcript);
} else {
reject(new Error("No transcript file found"));
}
});
});
}
}
@@ -0,0 +1,8 @@
module.exports = {
name:"assembly", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
type:"transcription", // value used to differentiate each module to order them in the UI
displayname:"Assembly", // The displayname used within the UI
async function(parameter){
// TODO add code to actually process the audio file
}
}
@@ -0,0 +1,133 @@
import 'dotenv/config';
import axios from 'axios';
import fs from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
const API_KEY = process.env.ASSEMBLYAI_API_KEY;
const BASE_URL = 'https://api.assemblyai.com/v2';
/**
* Uploads audio file to AssemblyAI
*/
async function uploadAudio(audioPath: string): Promise<string> {
const audioData = fs.readFileSync(audioPath);
const response = await axios.post<{ upload_url: string }>(`${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: ${audioPath}`);
}
audioUrl = await uploadAudio(audioPath);
}
console.log('🔄 Creating transcript job...');
const transcriptId = await createTranscript(audioUrl);
console.log('⏳ Waiting for transcription...');
const transcript = await pollTranscript(transcriptId);
const sessionId = getSessionId(audioPath);
saveTranscript(transcript, sessionId);
return transcript;
} catch (error: any) {
console.error('❌ Transcription error:', error.message);
throw error;
}
}
};
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module.exports = {
name:"Startup_function",
async function(){
// Put any code here that you want to be executed on startup
// We are now calling the example function from the example folder
mapFunctions.get("example").function("Startup")
// mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./a.mp4", outputType:"wav"})
// mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"wav"})
// mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"flac"})
}
}
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module.exports = {
name:"cliCommands",
async function(command, args){
switch(command){
case "exit":
process.exit(1);
break;
case "reload":
mapFunctions.clear()
// Reloading the Function Map
var path = `${mainDir}/services/modules`
var folders = fs.readdirSync(path).filter(function (file) {
return fs.statSync(path+'/'+file).isDirectory();
});
folders.forEach(element => {
var commandFiles = fs.readdirSync(`${path}/${element}`).filter(file => file.endsWith('.js') && !file.startsWith("index"));
for (const file of commandFiles) {
delete require.cache[require.resolve(`${path}/${element}/${file}`)];
const command = require(`${path}/${element}/${file}`);
mapFunctions.set(command.name, command);
}
});
console.log(`Reloaded ${mapFunctions.size} modules`)
break;
default:
console.log("This is not a recognised command");
break;
};
}
}
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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`);
}
}
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// 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);
});
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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);
});
+39
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**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."
}
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@@ -0,0 +1,7 @@
const gemini = require("../../../services/modules/llm-gemini/gemini.js");
gemini.function({
inputTranscriptPath: "./transcript.json",
documentTypePath: "./documentType.json",
language: "de"
});
+122
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[
{
"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
}
]
+8
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@@ -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
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