credit

app.py

@@ -57,7 +57,7 @@ def predict(img) -> Tuple[Dict, float]:
 # Create title, description and article strings
 title = "Food Classifier for 🍕🥩🍣"
 description = "An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi."
-# article = "One of the practice projects of [learnpytorch.io](https://www.learnpytorch.io/). uploaded here for training purposes with minor modifications"
+article = "One of the practice projects of [learnpytorch.io](https://www.learnpytorch.io/). uploaded here for training purposes with minor modifications"
 
 # Create examples list from "examples/" directory
 example_list = [["examples/" + example] for example in os.listdir("examples")]
@@ -71,7 +71,7 @@ demo = gr.Interface(fn=predict, # mapping function from input to output
                     examples=example_list, 
                     title=title,
                     description=description,
-                    # article=article
+                    article=article
                     )
 
 # Launch the demo!