Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+
+# Create title, description and article strings
+title = "DeepFundus 👀"
+description = "A ResNet50 feature extractor computer vision model to classify retina pathology from optical funduscopic images."
+article = "Created for fun."
+
+# 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=8, label="Predictions"), # what are the outputs?
+                             gr.Number(label="Prediction time (s)")], # our fn has two outputs, therefore we have two outputs
+                    examples=example_list, 
+                    title=title,
+                    description=description,
+                    article=article)
+
+# Launch the demo!
+demo.launch(debug=False, # print errors locally?
+            share=True) # generate a publically shareable URL?