lower threshold to 0.8 from 0.85

app.py

@@ -16,7 +16,7 @@ OUTPUT_OK = (
         <div class="row"><h1 class="display-1 text-success" style="text-align: center">{:.1f}%</h1></div>
         <div class="row"><h1 style="text-align: center">similar</h1></div>
         <div class="row"><h1 class="text-success" style="text-align: center">Welcome, human!</h1></div>
-        <div class="row"><small style="text-align: center">(You must get at least 85% to be considered the same person)</small><div class="row">
+        <div class="row"><small style="text-align: center">(You must get at least 80% to be considered the same person)</small><div class="row">
     </div>
 """
 )
@@ -28,7 +28,7 @@ OUTPUT_FAIL = (
         <div class="row"><h1 class="display-1 text-danger" style="text-align: center">{:.1f}%</h1></div>
         <div class="row"><h1 style="text-align: center">similar</h1></div>
         <div class="row"><h1 class="text-danger" style="text-align: center">You shall not pass!</h1></div>
-        <div class="row"><small style="text-align: center">(You must get at least 85% to be considered the same person)</small><div class="row">
+        <div class="row"><small style="text-align: center">(You must get at least 80% to be considered the same person)</small><div class="row">
     </div>
 """
 )
@@ -42,7 +42,7 @@ EFFECTS = [
     ["trim", "0", "10"],
 ]
 
-THRESHOLD = 0.85
+THRESHOLD = 0.80
 
 model_name = "microsoft/wavlm-base-plus-sv"
 feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)