Update app.py

app.py

@@ -42,7 +42,8 @@ def classify(image):
         outputs = model(input_tensor)
         probs = F.softmax(outputs[0], dim=0)
         top_probs, top_idxs = torch.topk(probs, 3)
-    preds = {labels[i]: f"{(top_probs[j].item() * 100):.2f}%" for j, i in enumerate(top_idxs)}
+    preds = {labels[i]: float(top_probs[j]) for j, i in enumerate(top_idxs)}
+
 
     # Grad-CAM
     grayscale_cam = cam(input_tensor=input_tensor)[0]