Update app.py

app.py

@@ -67,36 +67,34 @@ model      = AutoModelForSequenceClassification.from_pretrained(model_name)
 tokenizer  = AutoTokenizer.from_pretrained(model_name, use_fast=False)
 
 LABELS = [
-    "recovery", "control", "gaslighting", "dismissiveness", "blame shifting",
-    "coercion", "aggression", "nonabusive", "deflection", "projection", "insults"
+    "recovery", "control", "gaslighting", "guilt tripping", "dismissiveness", "blame shifting",
+    "nonabusive","projection", "insults", "contradictory statements", "obscure language"
 ]
 
 THRESHOLDS = {
-    "recovery": 0.999,
-    "control": 0.100,
-    "gaslighting": 0.410,
-    "dismissiveness": 0.867,
-    "blame shifting": 0.116,
-    "coercion": 0.100,
-    "aggression": 0.02,
-    "nonabusive": 0.100,
-    "deflection": 0.100,
-    "projection": 0.100,
-    "insults": 0.100
+    "recovery": 0.25,
+    "control": 0.18,
+    "gaslighting": 0.50,
+    "guilt tripping": .38,
+    "dismissiveness": 0.15,
+    "blame shifting": 0.28,
+    "projection": 0.35,
+    "insults": 0.23,
+    "contradictory statements": 0.23,
+    "obscure language": 0.15
 }
 
 PATTERN_WEIGHTS = {
-    "gaslighting": 1.5,
-    "control": 1.2,
-    "dismissiveness": 0.7,
-    "blame shifting": 0.5,
+    "recovery": 0.7,
+    "control": 1.4,
+    "gaslighting": 1.50,
+    "guilt tripping": 1.2,
+    "dismissiveness": 0.9,
+    "blame shifting": 0.8,
+    "projection": 0.8,
     "insults": 1.4,
-    "projection": 1.2,
-    "recovery": 1.1,
-    "coercion": 1.3,
-    "aggression": 2.2,
-    "nonabusive": 0.1,
-    "deflection": 0.4
+    "contradictory statements": 1.0,
+    "obscure language": 0.9
 }
 RISK_STAGE_LABELS = {
     1: "🌀 Risk Stage: Tension-Building\nThis message reflects rising emotional pressure or subtle control attempts.",