Update model.py

model.py

@@ -3,10 +3,9 @@ import torch.nn as nn
 from huggingface_hub import hf_hub_download
 
 class SimpleCNN(nn.Module):
-    def __init__(self, model_type='f', num_classes=4):
+    def __init__(self, model_type='c', num_classes=4):
         super(SimpleCNN, self).__init__()
         self.num_classes = num_classes
-        self.model_type = model_type
         if model_type == 'f':
             self.conv1 = nn.Conv2d(3, 16, kernel_size=3, stride=1, padding=1)
             self.conv2 = nn.Conv2d(16, 32, kernel_size=3, stride=1, padding=1)
@@ -26,14 +25,11 @@ class SimpleCNN(nn.Module):
             self.conv4 = nn.Conv2d(256, 512, kernel_size=3, stride=1, padding=1)
             self.fc1 = nn.Linear(512 * 14 * 14, 1024)
             self.dropout = nn.Dropout(0.3)
-        else:
-            raise ValueError(f"Unknown model type: {model_type}")
-
-        self.relu = nn.ReLU()
-        self.pool = nn.MaxPool2d(kernel_size=2, stride=2)
         self.fc2 = nn.Linear(self.fc1.out_features, num_classes)
+        self.relu = nn.ReLU()
+        self.pool = nn.MaxPool2d(kernel_size=2, stride=2, padding=0)
 
-     def forward(self, x):
+    def forward(self, x):
         x = self.pool(self.relu(self.conv1(x)))
         x = self.pool(self.relu(self.conv2(x)))
         x = self.pool(self.relu(self.conv3(x)))