Update app.py

app.py

@@ -45,7 +45,7 @@ class GeneticAlgorithm:
             self.population = [self.population[i] for i in np.argsort(fitness)[-len(self.population)//2:]]
 
     def crossover(self):
-    offspring = []
+        offspring = []
     for _ in range(len(self.population)//2):
         parent1, parent2 = random.sample(self.population, 2)
         child = Net()
@@ -65,7 +65,7 @@ class GeneticAlgorithm:
         child.fc2.set_weights(child_weights[2:4])
         child.fc3.set_weights(child_weights[4:])
         
-    offspring.append(child)
+        offspring.append(child)
     self.population += offspring
 
     def mutation(self):