Added comments to my code to make it more understandable

services/modules/llm-gemini/gemini.js

@@ -1,15 +1,15 @@
 const fs = require("fs");
 const path = require("path");
-const { GoogleGenAI } = require("@google/genai");
+const { GoogleGenAI } = require("@google/genai"); // Import Google Gemini AI SDK
 
-const outputDir = path.join(__dirname, "../../../storage/documents");
+const outputDir = path.join(__dirname, "../../../storage/documents"); //  path for output directory
 
 if (!fs.existsSync(outputDir)) {
-    fs.mkdirSync(outputDir, { recursive: true });
+    fs.mkdirSync(outputDir, { recursive: true }); // Create output directory if it doesn't exist
 }
 
 const ai = new GoogleGenAI({ 
-    apiKey: process.env.GOOGLE_API_KEY
+    apiKey: process.env.GOOGLE_API_KEY // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
 });
 
 module.exports = {
@@ -22,10 +22,10 @@ module.exports = {
         try {
             console.log("Gemini LLM module invoked with parameters:", parameter);
 
-            await this.createDocumentFromTranscript(
-                parameter.inputTranscriptPath,
-                parameter.documentTypePath,
-                parameter.language
+            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) {
@@ -33,7 +33,7 @@ module.exports = {
         }
     },
 
-    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") {
+    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
         try {
             const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
             const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
@@ -41,14 +41,14 @@ module.exports = {
             const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
 
             const response = await ai.models.generateContent({
-                model: "gemini-2.5-flash",
-                contents: promptText
+                model: "gemini-2.5-flash", // Specify the Gemini model to use
+                contents: promptText // Input prompt for content generation
             });
 
-            const output = response.text || "";
+            const output = response.text || ""; // Get generated text from response or default to empty string (if null)
 
-            const outPath = path.join(outputDir, "test.md");
-            fs.writeFileSync(outPath, output, "utf8");
+            const outPath = path.join(outputDir, "test.md"); // Output file path & name TO BE DONE to make dynamic out of input transcript name
+            fs.writeFileSync(outPath, output, "utf8"); // Write output to file
 
             console.log("Generated document written to:", outPath);