Fix description

app.py

@@ -77,6 +77,7 @@ with open(
 
 logger.info("Logistic regression model loaded, coefficients: ")
 
+
 def get_text_features(text_prompts):
     all_text_features = []
     with torch.no_grad():
@@ -89,6 +90,7 @@ def get_text_features(text_prompts):
         all_text_features = all_text_features.cpu()
     return all_text_features
 
+
 all_text_features = get_text_features(text_prompts)
 hair_text_features = get_text_features(hair_text_prompts)
 old_text_features = get_text_features(text_prompts_old)
@@ -166,7 +168,7 @@ 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 < 0.4, the image can be automatically REJECTED as NOT as base
+    probability < 0.2, 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.