Update app.py

app.py

@@ -56,12 +56,13 @@ def search(query):
     scores = model.predict({"Name": query.lower()})
     K = min(2*max_posts, len(scores) - 1)
     sorted_post_ids = scores.argsort()[-K:][::-1]
-    count = 0
+    sorted_ids = []
     relevant_posts = []
+    count = 0
     for pid in sorted_post_ids:
         if pid in recipe_id_to_row_num:
             relevant_posts.append(df.iloc[recipe_id_to_row_num[pid]])
-        ##
+            sorted_ids.append(pid)
         count += 1
         if count==max_posts:
             break
@@ -110,7 +111,7 @@ def search(query):
         toggles +
         matches +
         bodies +
-        [sorted_post_ids]
+        [sorted_ids]
     )