Update app.py

app.py

@@ -1,15 +1,13 @@
 import gradio as gr
 import tensorflow as tf
-disable_eager_execution()
-from tensorflow.python.ops import array_ops
+from tensorflow.compat.v2.experimental import dtensor
+
 import numpy as np
 from PIL import Image
 
-
 # Load pre-trained MobileNetV2 model
 model = tf.keras.applications.MobileNetV2(weights='imagenet')
 
-
 def predict_difficulty_score(image):
     # Load image and preprocess it for the model
     img = Image.fromarray(image.astype('uint8'), 'RGB')
@@ -29,7 +27,6 @@ def predict_difficulty_score(image):
     # Return the difficulty score
     return difficulty_score
 
-
 # Create a Gradio interface
 inputs = gr.inputs.Image(shape=(224, 224))
 outputs = gr.outputs.Textbox(label="Difficulty Score")