Fix added

SkinCancerDiagnosis.py

@@ -131,6 +131,7 @@ class SkinDiseaseClassifier:
         self.base_models = None
         self.meta_model = None
         self.resnet_feature_extractor = None
+        self.skincon_model = None
 
         # Image transformations
         self.transform = transforms.Compose([
@@ -291,7 +292,7 @@ class SkinDiseaseClassifier:
         with torch.no_grad():
             output_multi = self.skincon_model(image_tensor)
             probs_multi = torch.sigmoid(output_multi).squeeze().numpy()
-            # print(f"Probabilities : {probs_multi}")
+            print(f"Probabilities : {probs_multi}")
             threshold = 0.5
             predicted_labels_multi = [self.multilabel_class_names[i] for i, p in enumerate(probs_multi) if p > threshold]
         print("Predicted labels multi : ",predicted_labels_multi)