Update app.py

app.py

@@ -342,7 +342,7 @@ def analyze_outfit(input_img):
         # - Mid is worth 2/3 points (~66%)
         # - Trash is worth 1/3 points (~33%)
         
-        final_score = (drip_score * 1) + (mid_score * 0.5) + (not_score * 0.01)
+        final_score = (drip_score * 1) + (mid_score * 0.5) + (not_score * 0.1)
         #final_score = min(max(final_score * 100, 0), 100)  # Still keep within 0-100 range
         # After calculating final_score but before categorization
         #final_score = min(final_score * 1.1, 100)  # Give a 10% boost to all scores
@@ -353,10 +353,10 @@ def analyze_outfit(input_img):
         final_score = min(max(final_score, 0), 100)
         
         # Now classify the category based on the final_score
-        if final_score >= 55:
+        if final_score >= 50:
             category_key = 'drippy'
             score_label = "Drip Score"
-        elif final_score >= 25:
+        elif final_score >= 20:
             category_key = 'mid'
             score_label = "Mid Score"
         else: