def loadmodel(input_shape,numClass):
	Y = tf.keras.models.load_model('plainconv10sep.h5')
	
	X =  Y.layers[-2].output

	X = denseLayer(X,216)
	X = denseLayer(X,108)
	X = denseLayer(X,108)
	
	# X = Dropout(0.3)(X)

	X1 = denseLayer(X,36)

	X = denseLayer(X,216)
	X = denseLayer(X,108)	
	X = denseLayer(X,108)

	X = Dropout(0.3)(X)	
	
	X2 = denseLayer(X,36)

	X = denseLayer(X,216)
	X = denseLayer(X,108)
	
	X = denseLayer(X,108)

	X = Dropout(0.3)(X)

	X3 = denseLayer(X,108)

	X = Concatenate(axis=-1,name="hello")([X1,X2,X3])
	

	X = Dense(108)(X)
	X = Dropout(0.3)(X) 
	
	output =  Dense(numClass,name='nwop',activation='softmax')(X)
	model = Model(inputs = Y.input, outputs = output)
	print(model.summary())
	return model

this is my code and i am loading a model which already has Concatenate , so when i try to add one more concatenate i have naming issue