Update app.py

app.py

@@ -1,8 +1,10 @@
 import streamlit as st
 import tensorflow as tf
-from PIL import Image
+import cv2
+import numpy as np
+from PIL import Image, ImageOps
 
-@st.cache(allow_output_mutation=True)
+@st.cache_resource(allow_output_mutation=True)
 def load_model():
     model=tf.keras.models.load_model('./hip_impant_model.h5')
     return model
@@ -15,9 +17,7 @@ st.write("""
          )
 
 file = st.file_uploader("Upload an X-ray image")
-import cv2
-from PIL import Image, ImageOps
-import numpy as np
+
 st.set_option('deprecation.showfileUploaderEncoding', False)
 def model_prediction(img, model):
     resize = tf.image.resize(img, (256,256))