Upload app.py

app.py

@@ -64,7 +64,7 @@ def predict(img) -> Tuple[Dict, float]:
 # Create title, description and article strings
 title = "DeepFundus 👀"
 description = "A ResNet50 feature extractor computer vision model to classify funduscopic images."
-#article = "Created at [09. PyTorch Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/)."
+article = "Created with the help from [09. PyTorch Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/)."
 
 # Create examples list from "examples/" directory
 example_list = [["examples/" + example] for example in os.listdir("examples")]