docs: update readme to reflect new feature

README.md

@@ -1,40 +1,45 @@
 # tfjs-image-node
+
 A simple image classifier using tfjs, that can run in Node.js
 
 ### Install
+
 ```bash
 npm i tfjs-image-node
 # or
 yarn add tfjs-image-node
 # or
 bun add tfjs-image-node
 ```
+
 ### Import
+
 ```typescript
 const classifyImage = require("tfjs-image-node");
 // or
 import { classifyImage } from "tfjs-image-node";
 ```
 
-
 ## Example
+
 ```typescript
 const classifyImage = require("tfjs-image-node");
 
-const metadata = require("./metadata.json");
 const model = "https://teachablemachine.withgoogle.com/models/jAIOHvmge";
-const image = "https://www.stgeorges.nhs.uk/wp-content/uploads/2014/03/hand-2.jpeg";
+const image =
+  "https://www.stgeorges.nhs.uk/wp-content/uploads/2014/03/hand-2.jpeg";
 
 (async () => {
-  const prediction = await classifyImage(model, image, metadata);
+  const prediction = await classifyImage(model, image);
   console.log(prediction[0]);
-})()
+})();
 
 // expected output:
 // { label: 'Hand', probability: 0.9999574422836304 }
 ```
 
 ## Parameters
+
 <table>
   <thead>
     <tr>
@@ -66,21 +71,5 @@ const image = "https://www.stgeorges.nhs.uk/wp-content/uploads/2014/03/hand-2.jp
         The file path or URL to the image you want classified.
       </td>
     </tr>
-    <tr>
-      <td>
-        METADATA
-      </td>
-      <td>
-        JSON including labels: string[]
-      </td>
-      <td>
-        The metadata for your AI model, including the labels for the model's predictions.
-      </td>
-    </tr>
   </tdata>
 </table>
-
-
-
-
-