Add application file with new chkpoint

app.py

@@ -186,7 +186,7 @@ class_names_2 = list(class_names_dict.keys())
 def load_model():
     # Load the trained model
     model = ImageNetClassifier.load_from_checkpoint(
-        "logs/checkpoints/epoch=58-val_loss=1.46.ckpt",
+        "logs/checkpoints/epoch=59-val_loss=1.46.ckpt",
         map_location="cuda" if torch.cuda.is_available() else "cpu",
         #lr=6.28E-02,  # This parameter is required but won't be used for inference
         num_classes=1000  # Make sure this matches your trained model

logs/checkpoints/{epoch=58-val_loss=1.46.ckpt → epoch=59-val_loss=1.46.ckpt}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6759f10d8a0d9f99681446be1794a905b29d3d2f74a1f20a5ff1efb7efb80d7c
+oid sha256:d4533925de5f0c0d6ad5a5c116d3a6d7b62d8b03eb6fce450850018eea1732c6
 size 307147814