Update TumorModel.py

TumorModel.py

@@ -1,3 +1,24 @@
+import torch.nn as nn
+
+class TumorClassification(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.model = nn.Sequential(
+            nn.Conv2d(1, 16, 3, 1, 1),
+            nn.ReLU(),
+            nn.MaxPool2d(2),
+            nn.Conv2d(16, 32, 3, 1, 1),
+            nn.ReLU(),
+            nn.MaxPool2d(2),
+            nn.Flatten(),
+            nn.Linear(32 * 56 * 56, 128),
+            nn.ReLU(),
+            nn.Linear(128, 4)
+        )
+    def forward(self, x):
+        return self.model(x)
+
+
 class GliomaStageModel(nn.Module):
     def __init__(self):
         super(GliomaStageModel, self).__init__()
@@ -7,7 +28,7 @@ class GliomaStageModel(nn.Module):
         self.relu2 = nn.ReLU()
         self.fc3 = nn.Linear(50, 30)
         self.relu3 = nn.ReLU()
-        self.out = nn.Linear(30, 2)  # Only 2 classes in this model
+        self.out = nn.Linear(30, 2)  # only 2 classes in your .pth
 
     def forward(self, x):
         x = self.relu1(self.fc1(x))