Update app.py

app.py

@@ -48,7 +48,7 @@ def predict(img) -> Tuple[Dict, float]:
     start_time = timer()
     
     # Transform the target image and add a batch dimension
-    img1=PIL.Image.open(img, mode=’r’)
+    img1=PIL.Image.open(img)
     img1 = effnetb2_transforms(img1).unsqueeze(0)
     pix = normalize_2d(np.array(img))