Update app.py

app.py

@@ -175,12 +175,12 @@ base_image = gr.Interface(
 #    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=1, value=0.38 ,label="Threshold",info="[not in used]to set prediction confidence threshold")],
     inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.01, maximum=1,value=threshold_d ,label="[WIP]To change default 0.38 prediction confidence Threshold",info="[not in used]Select image with 0.38 threshold to start, you may amend threshold after each first image inference")],
 
-    outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="Both images inferenced threshold")],
+    outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="[WIP]Both images inferenced threshold")],
     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],[test2],[test3],[test4],[test5],[test6],[test7],[test8],[test9],[test10],[test11],[test12],],
-    cache_examples=True,examples_per_page=12#,label="select image with 0.38 threshold to inference, you may amend threshold after inference"
+    cache_examples=True,examples_per_page=12 #,label="select image with 0.38 threshold to inference, you may amend threshold after inference"
     )
 
 # tuned_image = gr.Interface(
@@ -214,7 +214,7 @@ base_image = gr.Interface(
 
 video = gr.Interface(
     fn=lambda x,y: [x,y], #video_demo,
-    inputs=[gr.Video(label="Base Model Video",interactive=False,visible=False),gr.Video(label="Tuned Model Video",interactive=False,visible=False)], 
+    inputs=[gr.Video(label="Base Model Video",interactive=False),gr.Video(label="Tuned Model Video",interactive=False)], 
     outputs=[gr.Video(label="Base Model Inferenced Video"), gr.Video(label="Tuned Model Inferenced Video")],
     examples=[
         [a, b]