Update app.py

app.py

@@ -9,8 +9,12 @@ model_path = 'dhhd255/main_model/best_model.h5'
 with fs.open(model_path, 'rb') as f:
     model_content = f.read()
 
+# Save the model file to disk
+with open('best_model.h5', 'wb') as f:
+    f.write(model_content)
+
 # Load your custom model
-model = keras.models.load_model(model_content)
+model = keras.models.load_model('best_model.h5')
 
 # Define a function that takes an image as input and uses the model for inference
 def image_classifier(image):