Update app.py

app.py

@@ -31,12 +31,16 @@ def predict(img):
 title = "FoodVision Mini 🍕🥩🍣"
 description = "An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi."
 article = "Created at [09. PyTorch Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/)."
-example_list = [[str(filepath)] for filepath in random.sample(test_data_paths, k=3)]
+
+# Create examples list from "examples/" directory
+example_list = [["examples/" + example] for example in os.listdir("examples")]
+
 # Create the Gradio demo
 demo = gr.Interface(fn=predict, # mapping function from input to output
                     inputs=gr.Image(type="pil"), # what are the inputs?
                     outputs=[gr.Label(num_top_classes=3, label="Predictions"), # what are the outputs?
                              gr.Number(label="Prediction time (s)")], # our fn has two outputs, therefore we have two outputs
+                    # Create examples list from "examples/" directory
                     examples=example_list, 
                     title=title,
                     description=description,