Import Libraries
import warnings
warnings.filterwarnings(“ignore”)
import tensorflow as tf
import os
import glob
import matplotlib.pyplot as plt

Keras API
import keras
from keras.models import Sequential
from keras.layers import Dense,Dropout,Flatten
from keras.layers import Conv2D,MaxPooling2D,Activation,AveragePooling2D,BatchNormalization
from keras.preprocessing.image import ImageDataGenerator
when I imports then it shows me
AlreadyExistsError                        Traceback (most recent call last)
 in 
7 import matplotlib.pyplot as plt
8 # Keras API
----> 9 import keras
10 from keras.models import Sequential
11 from keras.layers import Dense,Dropout,Flatten
D:\anaconda\lib\site-packages\keras_init_.py in 
23
24 # See b/110718070#comment18 for more details about this import.
—> 25 from keras import models
26
27 from keras.engine.input_layer import Input
D:\anaconda\lib\site-packages\keras\models.py in 
18 import tensorflow.compat.v2 as tf
19 from keras import backend
—> 20 from keras import metrics as metrics_module
21 from keras import optimizer_v1
22 from keras.engine import functional
D:\anaconda\lib\site-packages\keras\metrics.py in 
24
25 import numpy as np
—> 26 from keras import activations
27 from keras import backend
28 from keras.engine import base_layer
D:\anaconda\lib\site-packages\keras\activations.py in 
18
19 from keras import backend
—> 20 from keras.layers import advanced_activations
21 from keras.utils.generic_utils import deserialize_keras_object
22 from keras.utils.generic_utils import serialize_keras_object
D:\anaconda\lib\site-packages\keras\layers_init_.py in 
21
22 # Generic layers.
—> 23 from keras.engine.input_layer import Input
24 from keras.engine.input_layer import InputLayer
25 from keras.engine.input_spec import InputSpec
D:\anaconda\lib\site-packages\keras\engine\input_layer.py in 
19 from keras import backend
20 from keras.distribute import distributed_training_utils
—> 21 from keras.engine import base_layer
22 from keras.engine import keras_tensor
23 from keras.engine import node as node_module
D:\anaconda\lib\site-packages\keras\engine\base_layer.py in 
41 from keras.engine import node as node_module
42 from keras.mixed_precision import autocast_variable
—> 43 from keras.mixed_precision import loss_scale_optimizer
44 from keras.mixed_precision import policy
45 from keras.saving.saved_model import layer_serialization
D:\anaconda\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py in 
16
17 from keras import backend
—> 18 from keras import optimizers
19 from keras.mixed_precision import loss_scale as keras_loss_scale_module
20 from keras.optimizer_v2 import optimizer_v2
D:\anaconda\lib\site-packages\keras\optimizers.py in 
24 from keras.optimizer_v1 import Optimizer
25 from keras.optimizer_v1 import TFOptimizer
—> 26 from keras.optimizer_v2 import adadelta as adadelta_v2
27 from keras.optimizer_v2 import adagrad as adagrad_v2
28 from keras.optimizer_v2 import adam as adam_v2
D:\anaconda\lib\site-packages\keras\optimizer_v2\adadelta.py in 
20 import numpy as np
21 from keras import backend_config
—> 22 from keras.optimizer_v2 import optimizer_v2
23 from tensorflow.python.util.tf_export import keras_export
24
D:\anaconda\lib\site-packages\keras\optimizer_v2\optimizer_v2.py in 
34
35
—> 36 keras_optimizers_gauge = tf.internal.monitoring.BoolGauge(
37     “/tensorflow/api/keras/optimizers”, “keras optimizer usage”, “method”)
38
D:\anaconda\lib\site-packages\tensorflow\python\eager\monitoring.py in init(self, name, description, *labels)
358       *labels: The label list of the new metric.
359     “”"
 → 360     super(BoolGauge, self).init(‘BoolGauge’, _bool_gauge_methods,
361                                     len(labels), name, description, *labels)
362
D:\anaconda\lib\site-packages\tensorflow\python\eager\monitoring.py in init(self, metric_name, metric_methods, label_length, *args)
133           self._metric_name, len(self._metric_methods)))
134
 → 135     self._metric = self._metric_methods[self._label_length].create(*args)
136
137   def del(self):
AlreadyExistsError: Another metric with the same name already exists.
How can I Fix this