Update app.py

app.py

@@ -40,7 +40,7 @@ def load_model(model_repo_id):
 def predict(pilimg,Threshold):
 
     image_np = pil_image_as_numpy_array(pilimg)
-    if type(Threshold) is NoneType:
+    if type(Threshold) is None:
         Threshold=0.38
         
     return predict2(image_np),predict3(image_np),Threshold
@@ -178,7 +178,7 @@ base_image = gr.Interface(
     title="Luffy and Chopper Head detection. SSD mobile net V2 320x320",
     description="Upload a Image for prediction or click on below examples. Prediction confident >38% will be shown in dectected images. Threshold slider is WIP",
     examples=[[test1,0.38],[test2,0.38],[test3,0.38],[test4,0.38],[test5,0.38],[test6,0.38],[test7,0.38],[test8,0.38],[test9,0.38],[test10,0.38],[test11,0.38],[test12,0.38],],
-    cache_examples=True,examples_per_page=12
+    cache_examples=True,examples_per_page=12,Label="select images with 0.38 threshold, you may amend threshold after selecting the image"
     )#.launch(share=True)
 
 # tuned_image = gr.Interface(