input: Write a python function to create and compile a TensorFlow Keras model with a specific architecture.
  assert isinstance(create_model(), tf.keras.Sequential)
  assert create_model().layers[0].input_shape == (None, 7)
  assert create_model().layers[0].output_shape == (None, 64)
  assert create_model().layers[1].output_shape == (None, 1)
output: def create_model():
      import tensorflow as tf
      from tensorflow.keras.models import Sequential
      from tensorflow.keras.layers import Dense
  
      model = Sequential()
      model.add(Dense(64, activation='relu', input_shape=(7,)))
      model.add(Dense(1, activation='sigmoid'))
      model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
      return model