Code breaking in "Rec-feat.py"

[mohan22]

Traceback (most recent call last):
File "rec-feat.py", line 13, in
FRmodel = load_model('face-rec_Google.h5')
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 419, in load_model
model = _deserialize_model(f, custom_objects, compile)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 225, in _deserialize_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 458, in model_from_config
return deserialize(config, custom_objects=custom_objects)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/init.py", line 55, in deserialize
printable_module_name='layer')
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/utils/generic_utils.py", line 145, in deserialize_keras_object
list(custom_objects.items())))
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/network.py", line 1032, in from_config
process_node(layer, node_data)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/network.py", line 991, in process_node
layer(unpack_singleton(input_tensors), **kwargs)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/merge.py", line 161, in call
return self._merge_function(inputs)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/merge.py", line 365, in _merge_function
return K.concatenate(inputs, axis=self.axis)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 1956, in concatenate
return tf.concat([to_dense(x) for x in tensors], axis)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py", line 1075, in concat
dtype=dtypes.int32).get_shape(
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 669, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.