Update app.py

app.py

@@ -11,7 +11,7 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Breast cancer detection with AI(Deep Transfer Learning)"
-description = "<p style='text-align: center'><b>As a radiologist or oncologist, it is crucial to know what is wrong with a breast x-ray image.<b><p>"
+description = "<p style='text-align: center'><b>As a radiologist or oncologist, it is crucial to know what is wrong with a breast x-ray image.<b><br><b>Upload the breast X-ray image to know what is wrong with a patients breast with or without inplant<b><p>"
 article="<p style='text-align: center'> Upload the breast X-ray image to know what is wrong with a patients breast with or without inplant<b></p>"
 examples = ['img1.jpeg', 'img2.jpeg']
 #interpretation='default'