try1

app.py

@@ -1,14 +1,16 @@
 import numpy as np
 import tensorflow as tf
-import gradio as gr
 from tensorflow.keras.optimizers import Adam
 from huggingface_hub import from_pretrained_keras
 
-reloaded_model = from_pretrained_keras('ShaharAdar/best-model-try')
+# Load the model and its configuration
+model_dict = from_pretrained_keras('ShaharAdar/best-model-try')
+reloaded_model = model_dict['model']
+
+# Compile the model
 reloaded_model.compile(optimizer=Adam(0.00001),
                        loss='categorical_crossentropy',
-                       metrics=['accuracy']
-)
+                       metrics=['accuracy'])
 
 def classify_image(image):
     # Resize the image to 224x224 as expected by your model
@@ -35,4 +37,4 @@ import gradio as gr
 iface = gr.Interface(fn=classify_image, inputs="image", outputs="text")
 
 # Launch the application
-iface.launch()
+iface.launch()