Python Neural Networks - Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (700, 128, 33)

So I am working on a "music genre classification" project and I am working with the GTZAN dataset to create a simple CNN network to classify the genre for an audio file.

My code for the model training , validation and testing is below:

input_shape = (genre_features.train_X.shape[1], genre_features.train_X.shape[2],1)
print("Build CNN model ...")
model = Sequential()

model.add(Conv2D(24, (5, 5), strides=(1, 1), input_shape=input_shape))
model.add(AveragePooling2D((2, 2), strides=(2,2)))
model.add(Activation('relu'))

model.add(Conv2D(48, (5, 5), padding="same"))
model.add(AveragePooling2D((2, 2), strides=(2,2)))
model.add(Activation('relu'))

model.add(Conv2D(48, (5, 5), padding="same"))
model.add(AveragePooling2D((2, 2), strides=(2,2)))
model.add(Activation('relu'))

model.add(Flatten())
model.add(Dropout(rate=0.5))

model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dropout(rate=0.5))

model.add(Dense(10))
model.add(Activation('softmax'))
print("Compiling ...")
opt = Adam()
model.compile(loss="categorical_crossentropy", optimizer=opt, metrics=["accuracy"])
model.summary()

print("Training ...")
batch_size = 35  # num of training examples per minibatch
num_epochs = 400
model.fit(
    genre_features.train_X,
    genre_features.train_Y,
    batch_size=batch_size,
    epochs=num_epochs
)

print("\nValidating ...")
score, accuracy = model.evaluate(
    genre_features.dev_X, genre_features.dev_Y, batch_size=batch_size, verbose=1
)
print("Dev loss:  ", score)
print("Dev accuracy:  ", accuracy)


print("\nTesting ...")
score, accuracy = model.evaluate(
    genre_features.test_X, genre_features.test_Y, batch_size=batch_size, verbose=1
)
print("Test loss:  ", score)
print("Test accuracy:  ", accuracy)

# Creates a HDF5 file 'lstm_genre_classifier.h5'
model_filename = "lstm_genre_classifier_lstm.h5"
print("\nSaving model: " + model_filename)
model.save(model_filename)

And when I try to train the file I get the following Error ( I also printed the Train , Validation and Test Shape before compiling model)

Training X shape: (700, 128, 33)
Training Y shape: (700, 10)
Dev X shape: (200, 128, 33)
Dev Y shape: (200, 10)
Test X shape: (100, 128, 33)
Test Y shape: (100, 10)
Build CNN model ...
2020-12-25 15:46:58.410663: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
Compiling ...
Model: "sequential_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
conv2d_1 (Conv2D)            (None, 124, 29, 24)       624
_________________________________________________________________
average_pooling2d_1 (Average (None, 62, 14, 24)        0
_________________________________________________________________
activation_1 (Activation)    (None, 62, 14, 24)        0
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 62, 14, 48)        28848
_________________________________________________________________
average_pooling2d_2 (Average (None, 31, 7, 48)         0
_________________________________________________________________
activation_2 (Activation)    (None, 31, 7, 48)         0
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 31, 7, 48)         57648
_________________________________________________________________
average_pooling2d_3 (Average (None, 15, 3, 48)         0
_________________________________________________________________
activation_3 (Activation)    (None, 15, 3, 48)         0
_________________________________________________________________
flatten_1 (Flatten)          (None, 2160)              0
_________________________________________________________________
dropout_1 (Dropout)          (None, 2160)              0
_________________________________________________________________
dense_1 (Dense)              (None, 64)                138304
_________________________________________________________________
activation_4 (Activation)    (None, 64)                0
_________________________________________________________________
dropout_2 (Dropout)          (None, 64)                0
_________________________________________________________________
dense_2 (Dense)              (None, 10)                650
_________________________________________________________________
activation_5 (Activation)    (None, 10)                0
=================================================================
Total params: 226,074
Trainable params: 226,074
Non-trainable params: 0
_________________________________________________________________
Training ...
Traceback (most recent call last):
  File "cnn.py", line 82, in <module>
    epochs=400
  File "C:\Users\Bharat.000\miniconda3\lib\site-packages\keras\engine\training.py", line 1154, in fit
    batch_size=batch_size)
  File "C:\Users\Bharat.000\miniconda3\lib\site-packages\keras\engine\training.py", line 579, in _standardize_user_data
    exception_prefix='input')
  File "C:\Users\Bharat.000\miniconda3\lib\site-packages\keras\engine\training_utils.py", line 135, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (700, 128, 33)

I tried few solutions from some similar questions , but I could not understood much since I am new to this topic. Any help apprecitated about what do I change to get proper output.