Refactor NameToEmoji function to use Google Generative AI and update error handling

app/lib/meal.ts

@@ -1,5 +1,4 @@
-import ModelClient, { isUnexpected } from "@azure-rest/ai-inference";
-import { AzureKeyCredential } from "@azure/core-auth";
+import { GoogleGenerativeAI } from "@google/generative-ai";
 
 const KEY = process.env.NEIS_API_KEY;
 
@@ -45,19 +44,14 @@ export async function getMealInfo(MLSV_YMD: string, ATPT_OFCDC_SC_CODE: string,
     };
     
 }
-
-export async function NameToEmoji(name: string): Promise<string> {
-    const token = process.env.GITHUB_TOKEN;
-    if (!token) {
-        throw new Error("GITHUB_TOKEN environment variable is not set.");
+export async function NameToEmoji(name: string): Promise<string | undefined> {
+    const apiKey = process.env.GOOGLE_API_KEY;
+    if (!apiKey) {
+        throw new Error("GOOGLE_API_KEY environment variable is not set.");
     }
-    const endpoint = "https://models.github.ai/inference";
-    const model = "openai/gpt-5-mini";
 
-    const client = ModelClient(
-        endpoint,
-        new AzureKeyCredential(token),
-    );
+    const genAI = new GoogleGenerativeAI(apiKey);
+    const model = genAI.getGenerativeModel({ model: "gemini-3.1-flash-lite-preview" });
     
     const systemPrompt = `⚠️ 중요한 지침: 당신은 오직 이모지로만 응답하는 AI입니다. 다음 규칙을 예외 없이 철저히 준수해야 합니다. ⚠️
 
@@ -105,24 +99,26 @@ A: 🥰,☮️,🗽
 
 `;
 
-    const response = await client.path("/chat/completions").post({
-        body: {
-            messages: [
-                { role: "system", content: systemPrompt },
-                { role: "user", content: name }
-            ],
+    const response = await model.generateContent({
+        contents: [
+            { role: "user", parts: [{ text: systemPrompt + "\n\nUser input: " + name }] }
+        ],
+        generationConfig: {
             temperature: 1.0,
-            top_p: 1.0,
-            model: model
-        }
+            topP: 1.0,
+            candidateCount: 1,
+        },
     });
-    if (isUnexpected(response)) {
-        throw response.body.error;
-    }
 
-    const choices = response.body?.choices;
-    if (!choices || !choices[0]?.message?.content) {
+    const result = response.response;
+    if (!result.candidates || !result.candidates[0]) {
         throw new Error("No valid response from the model.");
     }
-    return choices[0].message.content as string;
+
+    const textContent = result.candidates[0].content.parts[0];
+    if (!textContent) {
+        throw new Error("Invalid response format from the model.");
+    }
+    
+    return textContent.text;
 }