added som plots revisions

funcs/som.py

@@ -223,10 +223,7 @@ class ClusterSOM:
         if len(self.som_models) == 0:
             raise ValueError("SOM models not trained yet.")
         
-        try:
-            prediction = self.predict([data[int(slice_select)-1]])[0]
-        except:
-            prediction = self.predict([data[int(slice_select)-2]])[0]
+        prediction = self.predict([data[int(slice_select)-1]])[0]
 
         fig, axes = plt.subplots(1, len(self.som_models), figsize=(20, 5), sharex=True, sharey=True)
         fig.suptitle(f"Activation map for A {prediction[0]}, node {prediction[1]}", fontsize=16)