add friendli call

src/app/(panels)/suite/patient/chat/page.jsx

@@ -44,6 +44,8 @@ export default function Chat() {
 		setLoading(true);
 
 		try {
+            console.log("Query being sent:", userQuery);
+
 			const response = await axios.post("/api/chat", { query: userQuery });
 
 			const botResponse = response.data?.answer || "No response from the bot.";

src/app/api/chat/route.js

@@ -1,20 +1,28 @@
-import { HuggingFaceInference } from "@langchain/community/llms/hf";
-
 export async function POST(req) {
   try {
     const body = await req.json();
     const { query } = body;
 
-    const model = new HuggingFaceInference({
+    const response = await fetch("https://api.friendli.ai/dedicated", {
-      model: "m42-health/Llama3-Med42-8B",
+      method: "POST",
-      apiKey: process.env.HUGGING_FACE_API_KEY,
+      headers: {
+        "Content-Type": "application/json",
+        "Authorization": `Bearer ${process.env.FRIENDLI_API_KEY}`,
+      },
+      body: JSON.stringify({ id: "idv6w0upi158", query }),
     });
 
-    const response = await model.invoke(query);
+    if (!response.ok) {
+      const errorDetails = await response.text();
+      console.error("Friendli API error:", errorDetails);
+      return new Response(
+        JSON.stringify({ error: "Failed to fetch data from Friendli API" }),
+        { status: 500 }
+      );
+    }
 
-    return new Response(JSON.stringify({ answer: response }), {
+    const data = await response.json();
-      status: 200,
+    return new Response(JSON.stringify({ answer: data.answer }), { status: 200 });
-    });
   } catch (error) {
     console.error("Backend error:", error);
     return new Response(JSON.stringify({ error: "Error generating response" }), {