Update app.py

app.py

@@ -15,6 +15,20 @@ import torch.nn as nn
 import torch.nn.functional as F
 from torchvision import transforms
 
+# Define the custom model class (MelanomaModel in this case)
+class MelanomaModel(nn.Module):
+    def __init__(self):
+        super(MelanomaModel, self).__init__()
+        # Define your model layers here (example)
+        self.conv1 = nn.Conv2d(3, 64, kernel_size=3)
+        self.fc1 = nn.Linear(64*224*224, 10)
+
+    def forward(self, x):
+        x = self.conv1(x)
+        x = x.view(x.size(0), -1)
+        x = self.fc1(x)
+        return x
+
 # Model paths for all disease types
 model_path_skin_disease = 'multi_weight.pth'  # Skin Disease Model
 model_path_brain_tumor = 'brain_tumor_model.pkl'
@@ -126,3 +140,4 @@ def main():
 # Run the Gradio app
 if __name__ == "__main__":
     main()
+