Update app.py

app.py

@@ -179,11 +179,11 @@ 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.Slider(minimum=0.05, maximum=1,steps=0.05,value=threshold_d ,label="To change default 0.38 prediction confidence Threshold. Range 0.01 to 1",info="Select any image below to start, you may amend threshold after first inference")],
+    inputs=[gr.Image(type="pil"),gr.Slider(minimum=0.05, maximum=1,step=0.05,value=threshold_d ,label="To change default 0.38 prediction confidence Threshold. Range 0.05 to 1",info="Select any image below to start, you may amend threshold after first 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")],
-    title="Luffy and Chopper Head detection. SSD mobile net V2 320x320 trained with Animated characters only",
-    description="Upload a Image for prediction or click on below examples. Prediction confident is defaut t >38%, you may adjust after first inference",
+    title="Luffy and Chopper Head detection. SSD mobile net V2 320x320 trained with animated characters only",
+    description="Upload a Image for prediction or click on below examples. Prediction confident is defaut to >38%, you may adjust after first inference",
     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"