Update app.py

app.py

@@ -11,7 +11,7 @@ model=tf.keras.models.load_model('./my_model')
 
 def import_and_predict(image_data):  
     x = image_data.reshape((-1, 224, 224, 3))
-    x = tf.keras.applications.imagenet_utils.preprocess_input(x, data_format=data_format, mode="tf")
+    x = tf.keras.applications.imagenet_utils.preprocess_input(x, mode="tf")
     prediction = model.predict(x)
     labels=class_names
     confidences = {labels[i]: float(prediction[0][i]) for i in range(15)}