Update app.py

app.py

@@ -17,7 +17,7 @@ def classify(im):
   #logits = torch.nn.functional.softmax(logits, dim=-1)
   probability = torch.nn.functional.softmax(logits, dim=-1)
   probs = probability[0].detach().numpy()
-  confidences = {label: float(probs[i]*100) for i, label in enumerate(labels)}
+  confidences = {label: float(probs[i]) for i, label in enumerate(labels)}
   print(confidences)
   return confidences