Update app.py

app.py

@@ -34,8 +34,8 @@ class GeneticAlgorithm:
         self.population = [Net() for _ in range(population_size)]
 
     def selection(self):
-    X_train, X_test, y_train, y_test = generate_dataset(self.task_id)
-    fitness = []
+        X_train, X_test, y_train, y_test = generate_dataset(self.task_id)
+        fitness = []
     for i, net in enumerate(self.population):
         net.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy'])
         net.fit(X_train, y_train, epochs=10, verbose=0)