need help with creating model in tensorflow [closed]

edit

Here is the model I am using

model = tf.keras.Sequential([
    tf.keras.layers.Flatten(input_shape=(1,)),
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dense(25,)
])
model.compile(loss="categorical_crossentropy", optimizer="adam", metrics="accuracy")
return model

my input layer is shaped like this

[0.46981431 0.32957182 0.6432879 ]

and my output layer is shaped like this

[[0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0.]
 [0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.
  0.]]

The error I am having is

ValueError: Input 0 of layer sequential is incompatible with the layer: expected axis -1 of input shape to have value 1 but received input with shape (None, 25)

I don't understand what this means