Update app.py

app.py

@@ -214,24 +214,24 @@ checkpoint = torch.load("Model_IV.pt")
 # model.load_state_dict(checkpoint)  # Load the saved weights
 # model.eval()  # Set the model to evaluation mode
 
-from ultralytics import settings
-# Update multiple settings
-settings.update({
-    "names": {0: 'A', 1: 'B',
-              2: 'C', 3: 'D', 
-              4: 'E', 5: 'F', 
-              6: 'G',  7: 'H', 
-              8: 'I', 9: 'J', 
-              10: 'K', 11: 'L', 
-              12: 'M', 13: 'N', 
-              14: 'O', 15: 'P', 
-              16: 'Q', 17: 'R', 
-              18: 'S', 19: 'T', 
-              20: 'U', 21: 'V', 
-              22: 'W', 23: 'X', 
-              24: 'Y', 25: 'Z'},
-    save_dir: ''
-})
+# from ultralytics import settings
+# # Update multiple settings
+# settings.update({
+#     "names": {0: 'A', 1: 'B',
+#               2: 'C', 3: 'D', 
+#               4: 'E', 5: 'F', 
+#               6: 'G',  7: 'H', 
+#               8: 'I', 9: 'J', 
+#               10: 'K', 11: 'L', 
+#               12: 'M', 13: 'N', 
+#               14: 'O', 15: 'P', 
+#               16: 'Q', 17: 'R', 
+#               18: 'S', 19: 'T', 
+#               20: 'U', 21: 'V', 
+#               22: 'W', 23: 'X', 
+#               24: 'Y', 25: 'Z'},
+#     save_dir: ''
+# })
 
 # print(type(checkpoint))
 # if isinstance(checkpoint, dict):