Update app.py

app.py

@@ -29,10 +29,10 @@ def classify_image(inp):
   ##confidences = model(inp)
 
   preds = model(inp).data[0]
-  means = preds.mean(dim=0, keepdim=True)
-  stds = preds.std(dim=0, keepdim=True)
-  preds = 4 * (preds - means) / stds
-  #preds = nnf.normalize(model(inp).data[0], dim=0)
+  #means = preds.mean(dim=0, keepdim=True)
+  #stds = preds.std(dim=0, keepdim=True)
+  #preds = 4 * (preds - means) / stds
+  ##preds = nnf.normalize(model(inp).data[0], dim=0)
   preds = nnf.softmax(preds, dim=0)
   preds = [pred.cpu() for pred in preds]
   preds = [float(pred.detach()) for pred in preds]