Changes to the LLMs to return a Promise (outp path) and main now calls the export process

main.js

@@ -61,7 +61,7 @@ let mainWindow;
 
 function createWindow() {
     mainWindow = new electron.BrowserWindow({
-        width: 1200,
+        width: 800,
         height: 800,
         webPreferences: {
             nodeIntegration: false,
@@ -124,10 +124,12 @@ 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
 
@@ -187,7 +189,7 @@ electron.ipcMain.on("file_submit", async (event, args) => {
 
             await mapFunctions.get("module-handler").function(args.document.module, {inputTranscriptPath: transcriptpath, documentTypePath: "./storage/documentType/standard_meeting_report.txt", language: "en"}).then(resp => {
                 console.log(resp);
-                transcriptpath = resp
+                globalFinalHtmlPath = resp
                 curstep++
                 mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
             }).catch(err => {
@@ -195,7 +197,7 @@ electron.ipcMain.on("file_submit", async (event, args) => {
                 return
             })
         }
-
+        
         // 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 => {
@@ -220,6 +222,9 @@ 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 =

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);
-        }
+        })
     }
 };