fix for huggingface

package.json

@@ -11,6 +11,9 @@
   },
   "dependencies": {
     "@clerk/nextjs": "^6.10.2",
+    "@huggingface/inference": "^3.1.2",
+    "@langchain/community": "^0.3.27",
+    "@langchain/core": "^0.3.36",
     "@radix-ui/react-collapsible": "^1.1.2",
     "@radix-ui/react-dialog": "^1.1.5",
     "@radix-ui/react-dropdown-menu": "^2.1.5",
@@ -30,6 +33,7 @@
     "formidable": "^3.5.2",
     "hoyahax-2025": "file:",
     "https-localhost": "^4.7.1",
+    "langchain": "^0.3.13",
     "lucide-react": "^0.474.0",
     "mongoose": "^8.9.5",
     "multer": "1.4.5-lts.1",

src/app/api/chat/route.js

@@ -1,15 +1,18 @@
-import { InferenceAPI } from '@huggingface/inference';
+import { HuggingFaceInference } from "@langchain/community/llms/hf";
-
-const hfAPI = new InferenceAPI({ apiKey: process.env.HUGGING_FACE_API_KEY });
 
 export default async function handler(req, res) {
   if (req.method === 'POST') {
     try {
       const { query } = req.body;
 
-      const response = await hfAPI.query('m42-health/Llama3-Med42-8B', { inputs: { text: query } });
+      const model = new HuggingFaceInference({
+        model: 'm42-health/Llama3-Med42-8B',
+        apiKey: process.env.HUGGING_FACE_API_KEY,
+      });
 
-      res.status(200).json({ answer: response.data[0].generated_text });
+      const response = await model.invoke(query);
+
+      res.status(200).json({ answer: response });
     } catch (error) {
       console.error(error);
       res.status(500).json({ error: 'Error generating response' });