Update app.py

app.py

@@ -58,7 +58,7 @@ PATTERN_WEIGHTS = {
 
 # --- DARVO Detection Tools ---
 DARVO_PATTERNS = {
-    "blame shifting", "projection", "mockery", "dismissiveness", "deflection", "guilt tripping"
+    "blame shifting", "projection", "dismissiveness", "guilt tripping", "contradictory statements"
 }
 DARVO_MOTIFS = [
     "i guess i’m the bad guy", "after everything i’ve done", "you always twist everything",
@@ -92,11 +92,12 @@ def calculate_darvo_score(patterns, sentiment_before, sentiment_after, motifs_fo
     darvo_score = (
         0.3 * pattern_score +
         0.3 * sentiment_shift_score +
-        0.2 * motif_score +
-        0.2 * contradiction_score
+        0.25 * motif_score +
+        0.15 * contradiction_score
     )
     return round(min(darvo_score, 1.0), 3)
 
+
 def custom_sentiment(text):
     inputs = sentiment_tokenizer(text, return_tensors="pt", truncation=True, padding=True)
     with torch.no_grad():