Update app.py

app.py

@@ -12,12 +12,13 @@ categories = (['calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating'
 
 
 def classify_image(img):
+    img = PILImage.create(img).resize((192, 192))
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
 
 
-image = gr.Image(shape=(192,192))
+image = gr.Image(type='pil')
 label = gr.Label()
 examples = ['laughing.jpg', 'dancing.jpg', 'drinking.jpg']