diff --git a/package.json b/package.json
index 951d2da..44b5143 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "tfjs-image-node",
-  "version": "1.0.5",
+  "version": "1.0.6",
   "description": "A simple image classifier using tfjs and running in node.js",
   "main": "./dist/index.js",
   "module": "./dist/index.mjs",
diff --git a/src/index.ts b/src/index.ts
index c81757f..01e7728 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -12,19 +12,20 @@ type ResultType = {
 
 type ClassifyImageType = (
   MODEL_DIR_PATH: string,
-  IMAGE_FILE_PATH: string,
-  METADATA: IMetadata
+  IMAGE_FILE_PATH: string
 ) => Promise<ResultType[] | Error>;
 
 const classifyImage: ClassifyImageType = async (
   MODEL_DIR_PATH: string,
-  IMAGE_FILE_PATH: string,
-  METADATA: IMetadata
+  IMAGE_FILE_PATH: string
 ) => {
-  if (!MODEL_DIR_PATH || !IMAGE_FILE_PATH || !METADATA) {
+  if (!MODEL_DIR_PATH || !IMAGE_FILE_PATH) {
     return new Error("MISSING_PARAMETER");
   }
 
+  const res = await fetch(`${MODEL_DIR_PATH}/metadata.json`);
+  const METADATA: IMetadata = await res.json();
+
   let labels: string[] = METADATA["labels"];
 
   const model = await tf.loadLayersModel(`${MODEL_DIR_PATH}/model.json`);
diff --git a/test/classifyImage.test.ts b/test/classifyImage.test.ts
index 1295267..379eb5b 100644
--- a/test/classifyImage.test.ts
+++ b/test/classifyImage.test.ts
@@ -2,7 +2,6 @@ import { describe } from "mocha";
 import classifyImage from "../src/index";
 import assert from "assert";
 
-const metadata = require("./testMetadata.json");
 const model = "https://teachablemachine.withgoogle.com/models/jAIOHvmge";
 const imageHand =
   "https://www.stgeorges.nhs.uk/wp-content/uploads/2014/03/hand-2.jpeg";
@@ -12,7 +11,7 @@ const imageNoHand =
 describe("classifyImage function", async () => {
   describe("returns", async () => {
     it("returns hand when shown a picture of a hand", async () => {
-      const result = await classifyImage(model, imageHand, metadata);
+      const result = await classifyImage(model, imageHand);
       if (result instanceof Error) {
         return new Error();
       } else {
@@ -21,7 +20,7 @@ describe("classifyImage function", async () => {
     });
 
     it("returns 'No hand' when shown a picture not including hand", async () => {
-      const result = await classifyImage(model, imageNoHand, metadata);
+      const result = await classifyImage(model, imageNoHand);
 
       if (result instanceof Error) {
         return new Error();
@@ -31,7 +30,7 @@ describe("classifyImage function", async () => {
     });
 
     it("returns a probability level", async () => {
-      const result = await classifyImage(model, imageNoHand, metadata);
+      const result = await classifyImage(model, imageNoHand);
       if (result instanceof Error) {
         return new Error();
       } else {
@@ -42,7 +41,7 @@ describe("classifyImage function", async () => {
   describe("Error boundries", async () => {
     it("returns an error when missing a parameter", async () => {
       //@ts-expect-error
-      const result = await classifyImage(imageNoHand, metadata);
+      const result = await classifyImage(imageNoHand);
 
       assert.ok(result instanceof Error);
     });