text: import tensorflow as tf
  
  from chitra.core import load_imagenet_labels
  from chitra.serve.app import GradioApp
  
  image_shape = (224, 224)
  model = tf.keras.applications.MobileNetV2(weights="imagenet")
  IMAGENET_LABELS = load_imagenet_labels()
  
  
  def postprocess(preds):
      preds = tf.argmax(preds, 1).numpy()
      label = IMAGENET_LABELS[preds[0]]
      return label
  
  
  app = GradioApp(
      "image-classification",
      model=model,
      image_shape=image_shape,
      postprocess_fn=postprocess,
  )
  
  app.run(share=True)
  