Update app.py

app.py

@@ -196,7 +196,7 @@ def CNNModel(trainX, trainy, testX, testy, epochs=1000, batch_size=64, learning_
     model.add(MaxPooling1D(pool_size=2))
     model.add(Dropout(dropout_rate))
 
-     model.add(Conv1D(64, kernel_size=3, activation='relu', kernel_regularizer=regularizers.l1_l2(l1=l1_reg, l2=l2_reg)))
+    model.add(Conv1D(64, kernel_size=3, activation='relu', kernel_regularizer=regularizers.l1_l2(l1=l1_reg, l2=l2_reg)))
     model.add(MaxPooling1D(pool_size=2))
     model.add(Dropout(dropout_rate))