code: def get_uncompiled_model():
      inputs = keras.Input(shape=(784,), name="digits")
      x = layers.Dense(64, activation="relu", name="dense_1")(inputs)
      x = layers.Dense(64, activation="relu", name="dense_2")(x)
      outputs = layers.Dense(
          10, activation="softmax", name="predictions"
      )(x)
      model = keras.Model(inputs=inputs, outputs=outputs)
      return model
  
imports: import torch
  import tensorflow
  import os
  import numpy
  import keras
  from keras import layers
  from keras import ops
label_desc: Use image node_id 1 for calling a global function with example usage: get_uncompiled_model() and returns: model