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--- a/docs/README.md
+++ b/docs/README.md
@@ -21,7 +21,6 @@ We will using a p5.js sketch running on the [p5.js web editor](https://editor.p5
Once you have the p5.js web editor open, unfold the project directory by clicking the arrow `>` at the top left corner.
-
@@ -36,9 +35,27 @@ Now, let's switch to the `index.html` file and copy and paste the following CDN
+We can check if the ml5.js library has been imported successfully by using the `console.log()` method. Use the project directory to switch back to the `sketch.js` file and include this line of code inside the `setup()` function:
+
+```js
+console.log("ml5 version:", ml5.version);
+```
+
+Press the run button on the top left corner of the editor to run the sketch.
+
+
+
+
+
+If everything loaded properly, you should see the version number of the ml5.js library show up in the console.
+
+
+
+
+
## Load pretrained ml5.js model {docsify-ignore}
-Use the project directory to switch back to the `sketch.js` file. We will define a variable called `classifier` to hold the image classifier model.
+In the `sketch.js` file, we will define a variable called `classifier` to hold the image classifier model.
```js
let classifier;
@@ -59,7 +76,7 @@ function preload() {
Let's unfold the project directory again by clicking the arrow `>` at the top left corner of the p5.js editor.
-
+
Select the `+` to create a new folder called `images`.
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