如何将以下顺序模型转换为keras中的功能模型

from keras.models import Sequential, Model
from keras.layers import Input, Dense

model = Sequential()
model.add(Dense(64, input_shape=(input_dim,)))
model.add(Dense(32, activation='relu'))
model.add(Dense(output_dim, activation='softmax'))

inputs = Input(shape=(input_dim,))

x = model.layers[0](inputs)

for layer in model.layers[1:]:
    x = layer(x)

functional_model = Model(inputs=inputs, outputs=x)

functional_model.summary()