rename

Feature/ui test

See merge request proj-wise2526-video2document/video2document!59

electron/main/index.html

@@ -19,8 +19,8 @@
       </label>
 
       <nav class="menu1">
-        <li class="li1">Help</li>
-        <li class="li1">Language</li>
+        <a href="index2.html" class="li1">Custom document</a>
+        <a href="index3.html" class="li1">Help</a>
       </nav>
     </nav>
   </section>
@@ -79,27 +79,27 @@
       </div>
     </div>
 
-    <div class="step" id="step3" style="display:none;"> 
+    <div class="step" id="step3" style="display:none;">
       <div class="checkbox-group">
         <label id="checkbox-label" for="checkbox-group">Choose prefered document style:</label>
         <div class="checkbox-container">
-          <input type="checkbox" name ="docFormat" id="docFormat" value="Meeting report">
+          <input type="checkbox" name ="docFormat" id="docFormat" value="followup-report">
           <label id="label_format" for="docFormat">Follow-up Report</label>
         </div>
         <div class="checkbox-container">
-          <input type="checkbox" name="docFormat" id="docFormatSummary1" value="Summary with timestamps">
+          <input type="checkbox" name="docFormat" id="docFormatSummary1" value="agenda">
           <label id="label_summary" for="docFormatSummary">Agenda</label>
         </div>
         <div class="checkbox-container">
-          <input type="checkbox" name="docFormat" id="docFormatSummary2" value="Summary with timestamps">
+          <input type="checkbox" name="docFormat" id="docFormatSummary2" value="result-protocol">
           <label id="label_summary" for="docFormatSummary">Resultprotocol</label>
         </div>
         <div class="checkbox-container">
-          <input type="checkbox" name="docFormat" id="docFormatSummary3" value="Summary with timestamps">
+          <input type="checkbox" name="docFormat" id="docFormatSummary3" value="sprint-planning">
           <label id="label_summary" for="docFormatSummary">Sprint Planning Note</label>
         </div>
         <div class="checkbox-container">
-          <input type="checkbox" name="docFormat" id="docFormatCustom" value="Summary with timestamps">
+          <input type="checkbox" name="docFormat" id="docFormatCustom" value="custom">
           <select name="ai_type" id="ai_type">
             <option>nichts</option>
           </select>
@@ -147,12 +147,7 @@
     </div>
 
     <div class="step" id="step6" style="display:none;">
-      <button class="download-btn" id="downloadButton" onclick="" disabled>Download</button>
-
-      <div class="progressbar" id="progressbar">
-        <div class="progress_fill"></div>
-        <span class="progress_text">0%</span>
-      </div>
+      <button class="download-btn" id="downloadButton" onclick="fileDownload()">Download</button>
     </div>
   </div>
 

electron/main/preload.js

@@ -25,6 +25,11 @@ try {
     contextBridge.exposeInMainWorld("submitSpeaker", {
         submitSpeaker: (speaker_names) => {ipcRenderer.send("speaker_submit", speaker_names)}
     })
+
+    contextBridge.exposeInMainWorld("download", {
+        file_download: () => {ipcRenderer.send("file_download")}
+    })
+
     
     ipcRenderer.on("error", (event, err) => {alert(err)})
 } catch (error) {

electron/main/renderer.js

@@ -33,7 +33,6 @@ uploadContainer.addEventListener("drop", (e) => {
 
 window.addEventListener('load', async (e) => { 
   try {
-      console.log("test");
       loadLanguageOptions(); 
       const value = await window.onStartup.getModuleNames();
       loadAiOptions(value.ai_modules);
@@ -117,7 +116,7 @@ docFormat.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 docFormatSummary1.addEventListener("change", (e) =>{
   try {
     if(docFormatSummary1.checked){
@@ -129,7 +128,7 @@ docFormatSummary1.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 docFormatSummary2.addEventListener("change", (e) =>{
   try {
     if(docFormatSummary2.checked){
@@ -141,7 +140,7 @@ docFormatSummary2.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 docFormatSummary3.addEventListener("change", (e) =>{
   try {
     if(docFormatSummary3.checked){
@@ -153,7 +152,7 @@ docFormatSummary3.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 docFormatCustom.addEventListener("change", (e) =>{
   try {
     if(docFormatCustom.checked){
@@ -165,7 +164,7 @@ docFormatCustom.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 
 //Speaker change listener
 cur_speaker.addEventListener("change", (e) =>{
@@ -174,16 +173,12 @@ cur_speaker.addEventListener("change", (e) =>{
   } catch (error) {
     
   }
-})
+});
 
-window.electron.speakerAudios((event, arg) => {
-  try {
+window.audios.speakerAudios((event, arg) => {
     setSpeakerAudiosValue(arg);
     loadSpeakerOptions(arg);
-  } catch (error) {
-    
-  }
-})
+});
 
 window.electron.progress((event, arg) => {
     if(arg.curstep == 1){
@@ -207,7 +202,7 @@ function setCircleOne(){
   } catch (error) {
   }
 
-}
+};
 function setCircleZwo(){
   try {
     if(document.getElementById("box2").style.backgroundColor == "green"){
@@ -219,7 +214,7 @@ function setCircleZwo(){
     
   }
   
-}
+};
 function setCircleThree(){
   try {
     if(document.getElementById("box3").style.backgroundColor == "green"){
@@ -231,7 +226,7 @@ function setCircleThree(){
     
   }
   
-}
+};
 function setCircleFour(){
   try {
     if(document.getElementById("box4").style.backgroundColor == "green"){
@@ -242,7 +237,7 @@ function setCircleFour(){
   } catch (error) {
     
   } 
-}
+};
 
 
 

electron/main/script.js

@@ -25,18 +25,15 @@ function checkBoxes() {
       var pathTest = window.electronAPI.getFilePath(videoUpload.files[0]);
       var pathToLower = pathTest.toLowerCase();
       if(testEndings.some(e => pathToLower.endsWith(e))){
-        document.getElementById("progressbar").style.visibility = "visible";
         //assembly of the json for the main
 
-        const selectedStyles = [checkedCounter];
-        var iter = 0;
-        checkboxes.forEach(function(checkbox){
-        if(checkbox.checked){
-          console.log(checkbox.value);
-          selectedStyles[iter] = {iter: checkbox.value};
-          iter++;
-          } 
-        });
+        var typeCheckbox;
+        if(document.getElementById("docFormat").checked) typeCheckbox = document.getElementById("docFormat").value;
+        if(document.getElementById("docFormatSummary1").checked) typeCheckbox = document.getElementById("docFormatSummary1").value;
+        if(document.getElementById("docFormatSummary2").checked) typeCheckbox = document.getElementById("docFormatSummary2").value;
+        if(document.getElementById("docFormatSummary3").checked) typeCheckbox = document.getElementById("docFormatSummary3").value;
+        if(document.getElementById("docFormatCustom").checked) typeCheckbox = document.getElementById("docFormatCustom").value;
+
         document.getElementById("testy").style.visibility = "visible"
         document.getElementById("box1").style.backgroundColor = "red";
         document.getElementById("box2").style.backgroundColor = "red";
@@ -49,15 +46,15 @@ function checkBoxes() {
         const sendingPackage = {
           "video": {
             "module":"extraction-video-to-audio",
-            "inputVideoPath": pathTest,
-            "outputType": outputType.value
+            "inputVideoPath": pathTest
           },
           "transcription": {
             "module": transcriptionType.value
           },
           "document": {
             "module":aiType.value,
-            "styles": selectedStyles
+            "type": typeCheckbox,
+            "outputType": outputType.value
           }
         };
         window.submit.submit(sendingPackage)
@@ -105,7 +102,6 @@ function changeLanguage(language) {
 function handleFiles(files) {
   try {
     if (files.length > 0) {
-      document.getElementById("progressbar").style.visibility = "visible";
       const file = files[0];
       if (file.type.startsWith('video/')) {
         const filePath = window.explorer.onFileDrop(files[0])
@@ -330,3 +326,10 @@ function sendSpeakerPackages(){
   }
 }
 
+function fileDownload() {
+  try {
+    window.download.file_download();
+  } catch (error) {
+    console.error("Download failed:", error);
+  }
+}

electron/main/style.css

@@ -177,10 +177,11 @@ input[type="file"] {
 .submit-btn {
   display: flex;
   justify-content: center;
+  align-items: center;
   padding: 10px 20px;
-  margin-left: 80px;
+  margin-left: 300px;
   margin-top: 30px;
-  margin-bottom: 10px;
+  margin-bottom: 70px;
   background-color: #007BFF;
   color: white;
   border: none;
@@ -420,7 +421,6 @@ li {
   border-radius: 5px;
   background-color: #1C3B69;
   margin: 0;
-  display: -ms-grid;
   display: grid;
   grid-template-rows: 1fr repeat(4, 0.5fr);
   grid-row-gap: 25px;
@@ -436,19 +436,21 @@ li {
   -webkit-transition: all 0.3s ease;
 }
 
-.menu1 li:first-child {
+.menu1 a:first-child {
   margin-top: 30px;
 }
 
-.menu1 li:last-child {
+.menu1 a:last-child {
   margin-bottom: 30px;
 }
 
 .li1 {
+  color: #fff;
   width: 100%;
   margin: 0;
-  padding: 10px 0;
+  padding: 10px 0px;
   font: 700 20px 'Oswald', sans-serif;
+  text-decoration: none;
 }
 
 .li1:hover {

main.js

@@ -124,16 +124,28 @@ electron.ipcMain.handle('get-module-names', async () => {
 //     mainWindow.webContents.send("modules", module_array)
 // })
 
-
+var globalArgs = {}
+var globalFinalHtmlPath = ""
 
 electron.ipcMain.on("file_submit", async (event, args) => {
     try {
+        globalArgs = args
         let curstep = 0
-        let totalsteps = 3 + args.document.styles.length
-
-        if(args.document.styles.length == 0)
-            throw new Error("At least one Document Style needed");
-
+        let totalsteps = 4
+ 
+        const TEMPLATE_MAP = {
+            "followup-report": "followup_report.txt",
+            "agenda": "agenda.txt",
+            "result-protocol": "result_protocol.txt",
+            "sprint-planning": "sprint_planning_note.txt",
+            "custom": "custom_document.txt"
+        };
+ 
+        const templateFile = TEMPLATE_MAP[args.document.type];
+ 
+        if (!templateFile) {
+            throw new Error("Unknown document type: " + args.document.type);
+        }
 
         console.log(args);
         let audiopath = ""
@@ -182,12 +194,12 @@ electron.ipcMain.on("file_submit", async (event, args) => {
         console.log("\n\n Running the LLM module");
         // TODO implement documentation module
         // This code handles the Text to Document processing module call
-        for (let i = 0; i < args.document.styles.length; i++) {
-            console.log(`\n\n Running the LLM for Document Style ${i+1}`);
 
-            await mapFunctions.get("module-handler").function(args.document.module, {inputTranscriptPath: transcriptpath, documentTypePath: "./storage/documentType/standard_meeting_report.txt", language: "en"}).then(resp => {
+        console.log(`\n\n Running the LLM for Document Style ${args.document.type}`);
+ 
+        await mapFunctions.get("module-handler").function(args.document.module, { inputTranscriptPath: transcriptpath, documentTypePath: "./storage/documentType/" + templateFile, language: "en" }).then(resp => {
                 console.log(resp);
-                transcriptpath = resp
+                globalFinalHtmlPath = resp
                 curstep++
                 mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
             }).catch(err => {
@@ -196,6 +208,11 @@ electron.ipcMain.on("file_submit", async (event, args) => {
             })
         }
 
+        await mapFunctions.get("extract-speaker-snippets").function({audioPath: audiopath, jsonPath: transcriptpath }).then(resp => {
+                        mainWindow.webContents.send("submitSpeaker", resp)
+                        console.log(resp)
+        })
+
         // TODO actually implement this functionality
         // Module to get the first few lines for each speaker to send to the frontend
 //         await mapFunctions.get("speaker-getter-idfk").function(transcriptpath).then(resp => {
@@ -208,7 +225,7 @@ electron.ipcMain.on("file_submit", async (event, args) => {
 // // speakerA: {source: "Pfad zur Audio File"},
 // // speakerB:.....
 // // }
-            mainWindow.webContents.send("speakers", {speakerA:"pfad1", speakerB:"pfad2"})
+//          mainWindow.webContents.send("speakers", {speakerA:"pfad1", speakerB:"pfad2"})
 //         }).catch(err => {
 //             mainWindow.webContents.send("error", err)
 //             return
@@ -220,6 +237,9 @@ electron.ipcMain.on("file_submit", async (event, args) => {
     }
 })
 
+electron.ipcMain.on("file_download", async() => {
+    await mapFunctions.get("htmlDocumentConverter").convert({inputPath:globalFinalHtmlPath, format: globalArgs.document.outputType, showDialog: true});
+})
 
 
 let q =
@@ -252,4 +272,4 @@ let q1 = {
         {name:"abc", displayname:"ABC"},
         {name:"qeg", displayname:"aqghegahu"}
     ]
-}
+}

package-lock.json

@@ -15,7 +15,7 @@
         "dotenv": "^17.2.3",
         "electron": "^39.1.1",
         "express": "^5.1.0",
-        "ffmpeg-static": "^5.2.0",
+        "ffmpeg-static": "^5.3.0",
         "fluent-ffmpeg": "^2.1.3",
         "html-to-docx": "^1.8.0",
         "mocha": "^11.7.5",
@@ -1773,9 +1773,9 @@
       }
     },
     "node_modules/ffmpeg-static": {
-      "version": "5.2.0",
-      "resolved": "https://registry.npmjs.org/ffmpeg-static/-/ffmpeg-static-5.2.0.tgz",
-      "integrity": "sha512-WrM7kLW+do9HLr+H6tk7LzQ7kPqbAgLjdzNE32+u3Ff11gXt9Kkkd2nusGFrlWMIe+XaA97t+I8JS7sZIrvRgA==",
+      "version": "5.3.0",
+      "resolved": "https://registry.npmjs.org/ffmpeg-static/-/ffmpeg-static-5.3.0.tgz",
+      "integrity": "sha512-H+K6sW6TiIX6VGend0KQwthe+kaceeH/luE8dIZyOP35ik7ahYojDuqlTV1bOrtEwl01sy2HFNGQfi5IDJvotg==",
       "hasInstallScript": true,
       "license": "GPL-3.0-or-later",
       "dependencies": {
@@ -1832,6 +1832,7 @@
       "resolved": "https://registry.npmjs.org/fluent-ffmpeg/-/fluent-ffmpeg-2.1.3.tgz",
       "integrity": "sha512-Be3narBNt2s6bsaqP6Jzq91heDgOEaDCJAXcE3qcma/EJBSy5FB4cvO31XBInuAuKBx8Kptf8dkhjK0IOru39Q==",
       "deprecated": "Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.",
+      "license": "MIT",
       "dependencies": {
         "async": "^0.2.9",
         "which": "^1.1.1"

package.json

@@ -6,7 +6,7 @@
     "dotenv": "^17.2.3",
     "electron": "^39.1.1",
     "express": "^5.1.0",
-    "ffmpeg-static": "^5.2.0",
+    "ffmpeg-static": "^5.3.0",
     "fluent-ffmpeg": "^2.1.3",
     "html-to-docx": "^1.8.0",
     "mocha": "^11.7.5",

services/modules/audioSnippets/extract-speaker-snippets.js

@@ -0,0 +1,95 @@
+
+const ffmpeg = require("fluent-ffmpeg");
+const ffmpegPath = require("ffmpeg-static");
+
+ffmpeg.setFfmpegPath(ffmpegPath);
+
+module.exports = {
+    name: "extract-speaker-snippets",
+    type: "audio",
+    displayname: "Extract Speaker Snippets",
+
+    async function(parameter) {
+        return new Promise(async (resolve, reject) => {
+
+            let output = {}
+
+            console.log("Extract Speaker Snippets\n");
+
+            // Pfade
+            const AUDIO_PATH = parameter.audioPath; // Gesamt-Audio
+            const JSON_PATH = parameter.jsonPath; // json summary
+            const OUTPUT_DIR = path.join(__dirname, "/../../../storage/audio/speakerSnippets");
+
+
+            if (!AUDIO_PATH || !JSON_PATH) {
+                console.error("no audioPath or jsonPath available");
+                return;
+            }
+
+            // Output-Ordner
+            if (!fs.existsSync(OUTPUT_DIR)) {
+                fs.mkdirSync(OUTPUT_DIR, { recursive: true });
+            }
+
+            // JSON laden
+            let entries;
+                try {
+                    entries = JSON.parse(fs.readFileSync(JSON_PATH, "utf8"));
+                } catch (err) {
+                    console.error("JSON reading failed", err);
+                    return;
+                }
+
+                if (!Array.isArray(entries)) {
+                    console.error("JSON is not an Array");
+                    return;
+                }
+
+            // Pro Speaker genau EINEN Satz merken
+            const speakerMap = {};
+
+            for (const item of entries) {
+                if (!speakerMap[item.speaker]) {
+                    speakerMap[item.speaker] = item;
+                }
+            }
+
+            // FFmpeg pro Speaker ausführen (sequenziell)
+            for (const speaker of Object.keys(speakerMap)) {
+                const data = speakerMap[speaker];
+
+                // ms → Sekunden
+                const startSec = data.start / 1000;
+                const durationSec = (data.end - data.start) / 1000;
+
+                if (durationSec <= 0) {
+                    console.log(`invalid times for Speaker ${speaker}`);
+                    continue;
+                }
+
+                const outFile = path.join(OUTPUT_DIR, `speaker_${speaker}.wav`);
+
+                await new Promise((res, rej) => {
+                    ffmpeg(AUDIO_PATH)
+                        .setStartTime(startSec)
+                        .setDuration(durationSec)
+                        .output(outFile)
+                        .on("end", () => {
+                            output[`speaker${speaker}`] = {src: outFile, name: `speaker${speaker}`}
+                            console.log(`Snippet erstellt: speaker_${speaker}.wav`);
+                            res();
+                        })
+                        .on("error", (err) => {
+                            console.error(`FFmpeg Fehler (${speaker})`, err.message);
+                            rej();
+                        })
+                        .run();
+                });
+
+            }
+            resolve(output)
+            console.log("\nAlle Speaker-Snippets erstellt\n");
+        })
+    }
+};

services/modules/llm-chat_gpt/chatgpt.js

@@ -1,7 +1,7 @@
 const fs = require('fs');
 const path = require('path');
 
-const outputDir = path.join(__dirname, "../../../storage/documents"); //  path for output directory
+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
@@ -9,8 +9,7 @@ if (!fs.existsSync(outputDir)) {
 
 // Ensure SAIA API key is set in environment variables: export SAIA_API_KEY="your_api_key_here"
 const SAIA_API_KEY = process.env.SAIA_API_KEY; // Ensure SAIA API key is set in environment variables
-
-const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions"; //URL for the REST call, used model and action
+const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions"; // URL for the REST call, used model and action
 
 const module_exports = {
     name: "llm-saia_openai_gpt",
@@ -19,66 +18,72 @@ const module_exports = {
     description: "Generates documents using OpenAI GPT OSS 120B via SAIA platform",
 
     async function(parameter) {
-        try {
-            console.log("SAIA OpenAI GPT module invoked with parameters:", parameter);
+        return new Promise(async (resolve, reject) => {
+            try {
+                // console.log("SAIA OpenAI GPT 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
-            );
+                resolve(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 SAIA OpenAI GPT module:", error);
+                reject(error)
+            }
+        })
 
-        } catch (error) {
-            console.error("Error in SAIA OpenAI GPT 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
+        return new Promise(async(resolve, reject) => {
+            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(SAIA_URL, {
-                method: "POST",
-                headers: {
-                    "Authorization": `Bearer ${SAIA_API_KEY}`,
-                    "Accept": "application/json",
-                    "Content-Type": "application/json"
-                },
-                body: JSON.stringify({
-                    model: "openai-gpt-oss-120b",
-                    messages: [
-                        { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
-                        { role: "user", content: promptText }
-                    ],
-                    temperature: 0
-                })
-            });
+                // --- REST CALL ---
+                const response = await fetch(SAIA_URL, { //safe model response in variable
+                    method: "POST",
+                    headers: {
+                        "Authorization": `Bearer ${SAIA_API_KEY}`,
+                        "Accept": "application/json",
+                        "Content-Type": "application/json"
+                    },
+                    body: JSON.stringify({
+                        model: "openai-gpt-oss-120b",
+                        messages: [
+                            { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
+                            { role: "user", content: promptText }
+                        ],
+                        temperature: 0
+                    })
+                });
 
-            if (!response.ok) { //ok is true when a response was successful
-                const text = await response.text();
-                throw new Error(`SAIA API error (${response.status}): ${text}`);
+                if (!response.ok) { //ok is true when a responce was successfull
+                    const text = await response.text();
+                    throw new Error(`SAIA API error (${response.status}): ${text}`);
+                }
+
+                const data = await response.json();
+
+                // Get generated text from response or default to empty string (if null)
+                // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
+                const output = data.choices?.[0]?.message?.content || "";
+                let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
+                // console.log(inputTranscriptName);
+                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // 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);
+                resolve(outPath)
+
+            } catch (error) {
+                // console.error("Error generating SAIA content:", error);
+                reject(error)
             }
-
-            const data = await response.json();
-
-            // Get generated text from response or default to empty string (if null)
-            // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
-            const output = data.choices?.[0]?.message?.content || "";
-
-            let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
-            console.log(inputTranscriptName);
-
-            const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // 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 SAIA content:", error);
-        }
+        })
     }
 };
 

services/modules/llm-gemini/gemini.js

@@ -71,7 +71,7 @@ const module_exports = {
                 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, `${inputTranscriptName}.md`); // Output file path & name to make naming dynamic. Pulled from input transcript name
+                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // 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);

services/modules/quen3/quen3.js

@@ -18,66 +18,72 @@ const module_exports = {
     description: "Generates documents using QWEN 3 235B via SAIA platform",
 
     async function(parameter) {
-        try {
-            console.log("SAIA QWEN 3 235B module invoked with parameters:", parameter);
+        return new Promise(async (resolve, reject) => {
+            try {
+                // console.log("SAIA QWEN 3 235B 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
-            );
+                resolve(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 SAIA QWEN 3 235B module:", error);
+                reject(error)
+            }
+        })
 
-        } catch (error) {
-            console.error("Error in SAIA QWEN 3 235B 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
+        return new Promise(async(resolve, reject) => {
+            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(SAIA_URL, {
-                method: "POST",
-                headers: {
-                    "Authorization": `Bearer ${SAIA_API_KEY}`,
-                    "Accept": "application/json",
-                    "Content-Type": "application/json"
-                },
-                body: JSON.stringify({
-                    model: "qwen3-235b-a22b",  
-                    messages: [
-                        { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
-                        { role: "user", content: promptText }
-                    ],
-                    temperature: 0
-                })
-            });
+                // --- REST CALL ---
+                const response = await fetch(SAIA_URL, { //safe model response in variable
+                    method: "POST",
+                    headers: {
+                        "Authorization": `Bearer ${SAIA_API_KEY}`,
+                        "Accept": "application/json",
+                        "Content-Type": "application/json"
+                    },
+                    body: JSON.stringify({
+                        model: "qwen3-235b-a22b",
+                        messages: [
+                            { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
+                            { role: "user", content: promptText }
+                        ],
+                        temperature: 0
+                    })
+                });
 
-            if (!response.ok) { // ok is true when a response was successful
-                const text = await response.text();
-                throw new Error(`SAIA API error (${response.status}): ${text}`);
+                if (!response.ok) { //ok is true when a responce was successfull
+                    const text = await response.text();
+                    throw new Error(`SAIA API error (${response.status}): ${text}`);
+                }
+
+                const data = await response.json();
+
+                // Get generated text from response or default to empty string (if null)
+                // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
+                const output = data.choices?.[0]?.message?.content || "";
+                let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
+                // console.log(inputTranscriptName);
+                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // 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);
+                resolve(outPath)
+
+            } catch (error) {
+                // console.error("Error generating SAIA content:", error);
+                reject(error)
             }
-
-            const data = await response.json();
-
-            // Get generated text from response or default to empty string (if null)
-            // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
-            const output = data.choices?.[0]?.message?.content || "";
-
-            let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file
-            console.log(inputTranscriptName);
-
-            const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // 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 SAIA content:", error);
-        }
+        })
     }
 };
 

services/modules/utility/@startup.js

@@ -10,6 +10,7 @@ module.exports = {
     //    let transcript = await mapFunctions.get("assembly").function('../../storage/audio/IMG_2978.wav');
 
     //    let summary = await mapFunctions.get("summarize-transcription").function({jsonPath:'/Users/santa/Proj25/video2document/storage/transcripts/IMG_2978.json'});
+   //    let snippets = await mapFunctions.get("extract-speaker-snippets").function({audioPath:'/Users/santa/Proj25/video2document/storage/audio/KittyKat.wav', jsonPath1: '/Users/santa/Proj25/video2document/storage/transcriptionSummaries/KittyKat-1765806474958.json' });
 
 
         

storage/documentType/agenda.txt

@@ -0,0 +1,26 @@
+Du bist ein erfahrener Moderator und Projektmanager.
+
+AUFGABE:
+Erstelle eine sinnvolle Meeting-Agenda basierend auf dem folgenden Transkript.
+
+ANFORDERUNGEN:
+- Rekonstruiere die tatsächlichen Themenblöcke
+- Ordne sie logisch und chronologisch
+- Fasse ähnliche Diskussionen zusammen
+- Keine irrelevanten Details aufnehmen
+
+STRUKTUR:
+- Titel der Agenda
+- Ziel des Meetings (1–2 Sätze)
+- Agenda-Punkte (nummeriert)
+  - Thema
+  - Kurzbeschreibung
+  - Ziel des Punktes (Information, Entscheidung, Diskussion)
+
+STIL:
+- Klar, kompakt
+- Business-orientiert
+- Keine Sprecher- oder Zeitangaben
+- Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
+
+TRANSKRIPT:

storage/documentType/custom_document.txt

@@ -0,0 +1,22 @@
+Du bist ein intelligenter Dokumenten-Generator.
+
+AUFGABE:
+Erstelle ein individuelles Dokument basierend auf:
+1) dem Meeting-Transkript
+2) der zusätzlichen Nutzeranweisung
+
+WICHTIG:
+- Priorisiere die Nutzeranweisung
+- Nutze das Transkript als Wissensquelle
+- Struktur, Tonalität und Detailgrad anpassen
+- Inhalte logisch zusammenführen
+- Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
+
+FORMAT:
+- Passe Struktur und Stil an den Nutzerwunsch an
+- Klare Überschriften
+- Keine Sprecher- oder Zeitangaben
+
+TRANSKRIPT & NUTZERANWEISUNG:
+
+

storage/documentType/followup_report.txt

@@ -0,0 +1,45 @@
+Du bist ein professioneller Meeting-Analyst und Business Writer.
+
+AUFGABE:
+Erstelle einen strukturierten Follow-up Report basierend auf dem folgenden Meeting-Transkript.
+
+ANFORDERUNGEN:
+- Fasse Inhalte sinngemäß zusammen
+- Entferne Redundanzen und Smalltalk
+- Formuliere klar, präzise und professionell
+- Verwende neutrale Business-Sprache
+- Keine Zeitstempel oder Sprecher-Namen zitieren
+- Leite Entscheidungen und Aufgaben logisch ab, wenn sie implizit sind
+- Markiere offene Punkte klar
+- Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden
+
+STRUKTUR DES DOKUMENTS:
+1. Titel & Metadaten
+   - Meetingtitel (ableiten)
+   - Datum (falls im Transkript erwähnt, sonst „nicht angegeben“)
+   - Teilnehmer (zusammengefasst)
+
+2. Executive Summary (max. 5 Bullet Points)
+
+3. Besprochene Themen
+   - Thema
+   - Kernaussagen
+   - Relevante Erkenntnisse
+
+4. Entscheidungen
+   - Entscheidung
+   - Kontext / Begründung
+
+5. Action Items
+   - Aufgabe
+   - Verantwortlich (falls ableitbar)
+   - Ziel / Zweck
+
+6. Offene Fragen & Risiken
+
+STIL:
+- Überschriften klar strukturiert
+- Bullet Points bevorzugen
+- Präzise, keine Umgangssprache
+
+TRANSKRIPT:

storage/documentType/result_protocol.txt

@@ -0,0 +1,27 @@
+Du bist ein professioneller Protokollführer.
+
+AUFGABE:
+Erstelle ein Ergebnisprotokoll basierend auf dem Meeting-Transkript.
+
+FOKUS:
+- Ergebnisse statt Diskussionen
+- Entscheidungen, Beschlüsse, Vereinbarungen
+- Klare, überprüfbare Aussagen
+
+STRUKTUR:
+1. Meeting-Informationen
+2. Ergebnisse je Thema
+   - Thema
+   - Ergebnis / Beschluss
+3. Entscheidungen
+4. Aufgaben & Verantwortlichkeiten
+5. Offene Punkte
+
+REGELN:
+- Keine Meinungen oder Spekulationen
+- Keine Zeit- oder Sprecherangaben
+- Sachlich, formal
+- Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
+
+
+TRANSKRIPT:

storage/documentType/sprint_planning_note.txt

@@ -0,0 +1,35 @@
+Du bist ein erfahrener Scrum Master.
+
+AUFGABE:
+Erstelle Sprint Planning Notes aus dem folgenden Meeting-Transkript.
+
+FOKUS:
+- Sprint-Ziele
+- User Stories / Tasks
+- Abhängigkeiten
+- Risiken
+- Commitments
+
+STRUKTUR:
+1. Sprint Overview
+   - Sprint-Ziel
+   - Zeitraum (falls erwähnt)
+
+2. Geplante Arbeit
+   - User Story / Task
+   - Beschreibung
+   - Akzeptanzkriterien (falls ableitbar)
+
+3. Abhängigkeiten & Blocker
+
+4. Risiken & Annahmen
+
+5. Vereinbarungen / Team-Commitments
+
+STIL:
+- Agile-konform
+- Klar & umsetzungsorientiert
+- Bullet Points bevorzugen
+- Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
+
+TRANSKRIPT:

storage/documentType/standard_meeting_report.txt

@@ -1,217 +0,0 @@
-Generate a structured meeting report in HTML using STRUCTURE and STYLE.
-Output ONLY the final .md document — no meta comments, no explanations.
-
-Follow exactly the STRUCTURE defined below.
-Follow exactly the STYLE rules.
-Use timestamps in HH:MM:SS format.
-If information is missing, use: Unclear:<reason>.
-
-==================== STRUCTURE & RULES ====================
-
-{
-  "FORMAT": "HTML",
-
-  "STRUCTURE": {
-    "titlepage": [
-      "title",
-      "date",
-      "start",
-      "end",
-      "duration",
-      "location",
-      "host",
-      "participants"
-    ],
-
-    "toc": "[section](#anchor) — HH:MM:SS",
-
-    "section": {
-      "h2": "<topic> — HH:MM:SS",
-      "summary": "exactly 1 concise sentence",
-      "key_points": "maximum 5 bullet points; quotes optional",
-      "decisions": "list items formatted as: decision text | owner | due date",
-      "actions": "HTML table: id | task | owner | due | status"
-    },
-
-    "exec_summary": "exactly 3 short sentences",
-
-    "consolidated": [
-      "decisions",
-      "actions"
-    ],
-
-    "appendix": "optional"
-  },
-
-  "STYLE": {
-    "tone": "neutral, concise, professional",
-    "ts_format": "HH:MM:SS",
-    "no_meta": true
-  },
-
-  "PROCESS": {
-    "timestamps": "use transcript timestamps if present; otherwise estimate minimal",
-    "speakers": "use names if available; else Speaker X",
-    "long_transcripts": "split → summarize → merge",
-    "unclear": "Unclear:<reason>"
-  },
-
-  "PROMPT_SNIPPET": "Generate meeting report in HTML using STRUCTURE and STYLE. Output only the report."
-}
-
-============================================================
-
-Insert all generated content into the following HTML TEMPLATE:
-
-# {{title}}
-
-**Date:** {{date}}  
-**Start:** {{start}}  
-**End:** {{end}}  
-**Duration:** {{duration}}  
-**Location:** {{location}}  
-**Host:** {{host}}  
-**Participants:** {{participants}}
-
----
-
-## Table of Contents
-{{toc}}
-
----
-Generate a structured meeting report in HTML using STRUCTURE and STYLE.
-Output ONLY the final .md document — no meta comments, no explanations.
-
-Follow exactly the STRUCTURE defined below.
-Follow exactly the STYLE rules.
-Use timestamps in HH:MM:SS format.
-If information is missing, use: UNKLAR:<reason>.
-
-==================== STRUCTURE & RULES ====================
-
-{
-  "FORMAT": "HTML",
-
-  "STRUCTURE": {
-    "titlepage": [
-      "title",
-      "date",
-      "start",
-      "end",
-      "duration",
-      "location",
-      "host",
-      "participants"
-    ],
-
-    "toc": "[section](#anchor) — HH:MM:SS",
-
-    "section": {
-      "h2": "<topic> — HH:MM:SS",
-      "summary": "exactly 1 concise sentence",
-      "key_points": "maximum 5 bullet points; quotes optional",
-      "decisions": "list items formatted as: decision text | owner | due date",
-      "actions": "HTML table: id | task | owner | due | status"
-    },
-
-    "exec_summary": "exactly 3 short sentences",
-
-    "consolidated": [
-      "decisions",
-      "actions"
-    ],
-
-    "appendix": "optional"
-  },
-
-  "STYLE": {
-    "tone": "neutral, concise, professional",
-    "ts_format": "HH:MM:SS",
-    "no_meta": true
-  },
-
-  "PROCESS": {
-    "timestamps": "use transcript timestamps if present; otherwise estimate minimal",
-    "speakers": "use names if available; else Speaker X",
-    "long_transcripts": "split → summarize → merge",
-    "unclear": "UNKLAR:<reason>"
-  },
-
-  "PROMPT_SNIPPET": "Generate meeting report in HTML using STRUCTURE and STYLE. Output only the report."
-}
-
-============================================================
-
-Insert all generated content into the following HTML TEMPLATE:
-
-# {{title}}
-
-**Date:** {{date}}  
-**Start:** {{start}}  
-**End:** {{end}}  
-**Duration:** {{duration}}  
-**Location:** {{location}}  
-**Host:** {{host}}  
-**Participants:** {{participants}}
-
----
-
-## Table of Contents
-{{toc}}
-
----
-
-## Executive Summary
-{{exec_summary}}
-
----
-
-## Sections
-{{sections}}
-
----
-
-## Consolidated Decisions
-{{consolidated_decisions}}
-
----
-
-## Consolidated Actions
-{{consolidated_actions}}
-
----
-
-## Appendix
-{{appendix}}
-
-============================================================
-
-Final Requirement:
-Output ONLY the completed HTML meeting report.
-## Executive Summary
-{{exec_summary}}
-
----
-
-## Sections
-{{sections}}
-
----
-
-## Consolidated Decisions
-{{consolidated_decisions}}
-
----
-
-## Consolidated Actions
-{{consolidated_actions}}
-
----
-
-## Appendix
-{{appendix}}
-
-============================================================
-
-Final Requirement:
-Output ONLY the completed HTML meeting report.