Fixed Image parameters

app.py

@@ -9,7 +9,7 @@ def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-image = gr.Image(shape=(192,192))
+image = gr.Image(width=192, height=192)
 label = gr.Label()
 examples = ['Benign 1.jpg','Benign 2.jpg','Benign 3.jpg', 'Malignant 1.jpg', 
             'Malignant 2.jpg', 'Malignant 3.jpg']