Update app.py

app.py

@@ -342,12 +342,12 @@ 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 * 0.1)
+        raw_weighted_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
         # Now map it to a 0–100 scale
-        #final_score = final_score * 100
+        final_score = raw_weighted_score * 100
         
         # Clip it just in case (though it shouldn't exceed 100 now)
         final_score = min(max(final_score, 0), 100)