diff --git a/src/controller/recommendationController.py b/src/controller/recommendationController.py
index 89141ef..72892b9 100644
--- a/src/controller/recommendationController.py
+++ b/src/controller/recommendationController.py
@@ -26,13 +26,15 @@ def get_recommendation_from_record(user_id: str =Query(...) , db: Session = Depe
     try:
         for i in range(7):
             for list_recommendation in recommendations:
-                video = list_recommendation[i]
-
-                if len(final_recommendations) > 20:
-                    break
-
-                if (str(video) not in videos_record) and (video not in final_recommendations):
-                    final_recommendations.append(video)
+                try:
+                    video = list_recommendation[i]
+                    if len(final_recommendations) > 20:
+                        break
+
+                    if (str(video) not in videos_record) and (video not in final_recommendations):
+                        final_recommendations.append(video)
+                except:
+                    pass
     except:
         print("Não há vídeos recomendados suficientes!")
         return {"recommend_videos": final_recommendations}
diff --git a/src/recommendation_model/get_video_recommendation.py b/src/recommendation_model/get_video_recommendation.py
index 5e83933..34f459b 100644
--- a/src/recommendation_model/get_video_recommendation.py
+++ b/src/recommendation_model/get_video_recommendation.py
@@ -10,8 +10,10 @@ def get_recommendations(id):
 
     indices = pd.Series(df.index, index=df['ID']).drop_duplicates()
 
-    sim_scores = sorted(list(enumerate(cosine_sim[indices[id]])), key=lambda x: x[1], reverse=True)[
+    try:
+        sim_scores = sorted(list(enumerate(cosine_sim[indices[id]])), key=lambda x: x[1], reverse=True)[
                  1:8]  # Pega os 7 melhores
-
-    video_indices = [i[0] for i in sim_scores]
-    return list(df.iloc[video_indices][['ID']]['ID'])
\ No newline at end of file
+        video_indices = [i[0] for i in sim_scores]
+        return list(df.iloc[video_indices][['ID']]['ID'])
+    except:
+        return 0
\ No newline at end of file