Update app.py

app.py

@@ -99,20 +99,20 @@ def calculate_rewards(subscription, num_generations, author_share, ro_share, num
         author_month_reward = (authors_monthly_revenue / num_authors) * attribution_bonus
         ro_month_reward = author_month_reward / (author_share / 100) * (ro_share / 100)
         
+        try:
+        sim_value = float(sim.item()) if hasattr(sim, "item") else float(sim)
+        except Exception as e:
+        print("Erreur de conversion de sim:", e)
+        sim_value = 0.0  # valeur par défaut en cas d'erreur
+
         rewards.append({
-            'paid_per_month': f"{subscription:.0f}€",
-            'attribution': f"{sim*100:.0f}%",
-            'author_month_reward': f"{author_month_reward:.0f}€",
-            'ro_month_reward': f"{ro_month_reward:.0f}€",
-            'raw_similarity': sim                           # TEST INSERT valeur brute de similarité (comprise entre 0 et 1) float(sim.item()) 
-            # 'paid_per_month': f"{subscription:.0f}€",
-            # 'paid_per_gen': f"{paid_per_gen:.2f}€",
-            # 'aro_share': f"{aro_share:.2f}c€",
-            # 'attribution': f"{sim*100:.0f}%",
-            # 'training_data_reward': f"{training_data_reward:.2f}c€",
-            # 'author_month_reward': f"{author_month_reward:.0f}€",
-            # 'ro_month_reward': f"{ro_month_reward:.0f}€"
-        })
+    'paid_per_month': f"{subscription:.0f}€",
+    'attribution': f"{sim * 100:.0f}%",
+    'author_month_reward': f"{author_month_reward:.0f}€",
+    'ro_month_reward': f"{ro_month_reward:.0f}€",
+    'raw_similarity': sim_value  # Ajout sécurisé
+})
+
     return rewards
 
 # Global variables for model and index