slight change

app.py

@@ -1,14 +1,13 @@
 import streamlit as st
-# import tensorflow as tf  # not needed just to infer
-from tf_keras.models import load_model            
-from tensorflow.keras.preprocessing import image  
+from tf_keras.models import load_model          # <-- switch to tf_keras
+from tensorflow.keras.preprocessing import image
 from tensorflow.keras.applications.resnet50 import preprocess_input
 import numpy as np
 from PIL import Image
 
 @st.cache_resource
 def load_my_model():
-    return load_model("resnet50_dryfruits.h5", compile=False)  
+    return load_model("resnet50_dryfruits.h5", compile=False) 
 
 class_names = {
     0: 'AlmondGrade_A',