Merge commit '4ade9575f33fd353522a07abe2f60e2d1be6feb4' into feature/modular-ipc-system-implementation

services/modules/llm-gemini/gemini.js

@@ -0,0 +1,59 @@
+const fs = require("fs");
+const path = require("path");
+const { GoogleGenAI } = require("@google/genai"); // Import Google Gemini AI SDK
+
+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
+}
+
+const ai = new GoogleGenAI({ 
+    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 = {
+    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");
+            const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
+
+            const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
+
+            const response = await ai.models.generateContent({
+                model: "gemini-2.5-flash", // Specify the Gemini model to use
+                contents: promptText // Input prompt for content generation
+            });
+
+            const output = response.text || ""; // Get generated text from response or default to empty string (if null)
+
+            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);
+
+        } catch (error) {
+            console.error("Error generating Gemini content:", error);
+        }
+    }
+};