removed the debug=True

app.py

@@ -3,7 +3,7 @@ import tensorflow as tf
 import gradio as gr
 from huggingface_hub import from_pretrained_keras
 import cv2
-import matplotlib.pyplot as plt
+# import matplotlib.pyplot as plt
 
 
 model = from_pretrained_keras("harsha163/CutMix_data_augmentation_for_image_classification")
@@ -36,8 +36,8 @@ def read_image(image):
     image.set_shape([None, None, 3])
     print('$$$$$$$$$$$$$$$$$$$$$ in read image $$$$$$$$$$$$$$$$$$$$$$')
     print(image.shape)
-    plt.imshow(image)
-    plt.show()
+#     plt.imshow(image)
+#     plt.show()
     # image = tf.image.resize(images=image, size=[IMG_SIZE, IMG_SIZE])
     # image = image / 127.5 - 1
     image, _ = preprocess_image(image, 1) #  1 here is a temporary label
@@ -63,5 +63,5 @@ examples = [["./content/examples/Frog.jpg"], ["./content/examples/Truck.jpg"]]
 title = "Image classification"
 description = "Upload an image or select from examples to classify it"
 
-gr_interface = gr.Interface(infer, input, output, examples=examples, allow_flagging=False, analytics_enabled=False, title=title, description=description).launch(enable_queue=True, debug=True)
+gr_interface = gr.Interface(infer, input, output, examples=examples, allow_flagging=False, analytics_enabled=False, title=title, description=description).launch(enable_queue=True, debug=False)
 gr_interface.launch()