如何将两个Keras模型的摘要数据写入它们自己的文件/文件夹？

from keras.models import Sequential
from keras.layers import Dense

# 创建第一个模型
model1 = Sequential()
model1.add(Dense(64, activation='relu', input_dim=100))
model1.add(Dense(10, activation='softmax'))

# 创建第二个模型
model2 = Sequential()
model2.add(Dense(32, activation='relu', input_dim=50))
model2.add(Dense(5, activation='softmax'))

# 将模型的摘要数据写入文件/文件夹
model1_summary = model1.summary()
model2_summary = model2.summary()

# 写入文件
with open('model1_summary.txt', 'w') as f:
    f.write(model1_summary)

with open('model2_summary.txt', 'w') as f:
    f.write(model2_summary)

# 写入文件夹
import os

if not os.path.exists('model1_folder'):
    os.makedirs('model1_folder')

if not os.path.exists('model2_folder'):
    os.makedirs('model2_folder')

with open('model1_folder/model1_summary.txt', 'w') as f:
    f.write(model1_summary)

with open('model2_folder/model2_summary.txt', 'w') as f:
    f.write(model2_summary)