Update app.py

app.py

@@ -332,7 +332,7 @@ def analyze_outfit(input_img):
         # - Mid is worth 2/3 points (~66%)
         # - Trash is worth 1/3 points (~33%)
         
-        final_score = (drip_score * 1.0) + (mid_score * 0.80) + (not_score * 0.5)
+        final_score = (drip_score * 1.0) + (mid_score * 0.90) + (not_score * 0.5)
         
         # Now map it to a 0–100 scale
         final_score = final_score * 100
@@ -341,10 +341,10 @@ 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 >= 75:
+        if final_score >= 70:
             category_key = 'drippy'
             score_label = "Drip Score"
-        elif final_score >= 40:
+        elif final_score >= 35:
             category_key = 'mid'
             score_label = "Mid Score"
         else:
@@ -422,7 +422,7 @@ def analyze_outfit(input_img):
         category_html = f"""
             <div class='results-container'>
                 <h2 class='result-category'>RATING: {category_label.upper()}</h2>
-                <p class='result-score'>Overall Fit Rating: {percentage_score_str}/100</p>
+                <p class='result-score'>Overall Fit Rating: {percentage_score_str}/100%</p>
                 <p class='result-confidence'>Detected Item: {final_clothing_item.title()}</p>
             </div>
         """