Update app.py

app.py

@@ -14,7 +14,17 @@ def predict(img):
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
-    
+ 
+# Establecemos el título de la App y también indicamos 
+title = "Blindness Classifier"
+description = "A Diabetic Retinopathy disease (DR) classifier trained on a Retine Image dataset with fastai. It classifies 5 degrees in the advance of the disease ranging from: 0 - No DR, 1 - Mild DR, 2 - Moderate DR, 3 - Severe DR and 4 - Proliferative DR"
+
+0 - No presenta Retinopatía Diabética (DR)
+1 - DR Suave
+2 - DR Moderada
+3 - DR Severa
+4 - DR Proliferativa
+              
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(320, 320)), outputs=gr.outputs.Label(num_top_classes=5),examples=['f576e45d1da2.png','1df0a4c23c95.png']).launch(share=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(320, 320)), outputs=gr.outputs.Label(num_top_classes=5), title=title, description=description, examples=['f576e45d1da2.png','1df0a4c23c95.png']).launch(share=False)