Update app.py

app.py

@@ -12,9 +12,7 @@ model=tf.keras.models.load_model('./my_model')
 def import_and_predict(image_data):  
     x = image_data.reshape((-1, 224, 224, 3))
     x /= 255
-    x=np.expand_dims(x, axis=0)
-    image = np.vstack([x])
-    prediction = model.predict(image)
+    prediction = model.predict(x)
     labels=class_names
     confidences = {labels[i]: float(prediction[0][i]) for i in range(15)}   
     return confidences