ValueError: Error when checking input: expected dense_36_input to have shape (None, 12) but got array with shape (140, 2)

Create model:

model=Sequential()
model.add(Dense(input_dim = 12, units = 10, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 8, activation='relu', kernel_initializer='uniform'))
model.add(Dense(units = 1, activation='sigmoid', kernel_initializer='uniform'))

print('Training the model...')

Compile model:

model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])

while running the model.fit()

Fit the model:

model.fit(X_train,y_train,batch_size=32, epochs=10, verbose=1)

I am getting the error:

ValueError: Error when checking input: expected dense_36_input to have shape 
(None, 12) but got array with shape (140, 2)