Update app.py

app.py

@@ -172,14 +172,15 @@ test12 = os.path.join(os.path.dirname(__file__), "data/test12.jpeg")
 base_image = gr.Interface(
     fn=predict,
 #    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.Textbox(value=0.38 ,label="Change default 0.38 Threshold",info="to set prediction confidence threshold")],
+    inputs=[gr.Image(type="pil"),gr.Textbox(value=0.38 ,label="To change default 0.38 Threshold",info="to set prediction confidence threshold")],
 
     outputs=[gr.Image(type="pil",label="Base Model Inference"),gr.Image(type="pil",label="Tuned Model Inference"),gr.Textbox(label="Tuned Model Inference")],
     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,label="select images with 0.38 threshold, you may amend threshold after selecting the image"
-    )#.launch(share=True)
+    examples=gr.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,label="select image with 0.38 threshold to inference, you may amend threshold after inference")
+    )
 
 # tuned_image = gr.Interface(
 #     fn=predict3,