Update hair threshold

app.py

@@ -143,7 +143,7 @@ def predict_fn(input_img):
     old_result_probabilty = float(old_lr_probabilities[0][1].round(3))
     # get decision string
     if result_probabilty > 0.77:
-        if hair_result_probabilty < 0.5:
+        if hair_result_probabilty < 0.25:
             logger.info("hair_result_probabilty < 0.5")
             result_probabilty = hair_result_probabilty
             decision = "AUTO REJECT"
@@ -173,7 +173,7 @@ iface = gr.Interface(
     description="""
     The model returns the probability of the image being a base body. If
     probability > 0.77, the image can be automatically tagged as a base body. If
-    probability < 0.2, the image can be automatically REJECTED as NOT as base
+    probability < 0.25, the image can be automatically REJECTED as NOT as base
     body. All other cases will be submitted for moderation.
 
     Please flag if you think the decision is wrong.