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+++ b/README.md
@@ -16,3 +16,95 @@
 ## Submission Instructions
 - Create a pull request against this repo
 - push your code and/or a link to a gif or video of your work
+
+# Result
+
+<p align="center">
+<img width="300" src="lab07.gif">
+</p>
+
+```JavaScript 
+// Copyright (c) 2019 ml5
+//
+// This software is released under the MIT License.
+// https://opensource.org/licenses/MIT
+
+/* ===
+ml5 Example
+Webcam Image Classification using a pre-trained customized model and p5.js
+This example uses p5 preload function to create the classifier
+=== */
+
+// Classifier Variable
+let classifier;
+
+// TODO: Upate your model URL
+let imageModelURL = 'https://teachablemachine.withgoogle.com/models/svxO-CtvD/';
+
+// Video
+let video;
+let flippedVideo;
+// To store the classification
+let label = "";
+let peek_img;
+
+// Load the model first
+function preload() {
+  classifier = ml5.imageClassifier(imageModelURL + 'model.json');
+}
+
+function setup() {
+  createCanvas(320, 260);
+  
+  // Create the video
+  video = createCapture(VIDEO);
+  video.size(320, 240);
+  video.hide();
+  
+  peek_img = createImg("https://s.abcnews.com/images/Entertainment/norbert-high-five-dog1-ht-mem-180523_hpMain_16x9_992.jpg");
+  peek_img.hide();
+
+  flippedVideo = ml5.flipImage(video)
+  // Start classifying
+  classifyVideo();
+}
+
+function draw() {
+  background(0);
+  
+  // Draw the video
+  image(flippedVideo, 0, 0);
+
+  // Draw the label
+  fill(255);
+  textSize(16);
+  textAlign(CENTER);
+  
+  // TODO: Custom logic based on labels
+  if (label === "Class 2") {
+    image(peek_img, 90, 20, peek_img.width*0.3, peek_img.height*0.3);
+    text("Puppy High Five!!:))", width / 2, height - 4);
+  } else if (label === "Class 1") {
+    text("Where's my puppy:(", width / 2, height - 4);
+  }
+}
+
+// Get a prediction for the current video frame
+function classifyVideo() {
+  flippedVideo = ml5.flipImage(video)
+  classifier.classify(flippedVideo, gotResult);
+}
+
+// When we get a result
+function gotResult(error, results) {
+  // If there is an error
+  if (error) {
+    console.error(error);
+    return;
+  }
+  // The results are in an array ordered by confidence.
+  label = results[0].label;
+  // Classifiy again!
+  classifyVideo();
+}
+```
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