diff --git a/combined.py b/combined.py
index 68d7ebf..1c8a4c7 100644
--- a/combined.py
+++ b/combined.py
@@ -40,7 +40,7 @@
 
 prompt = (
     f"recommend the top {cate} "
-    f"in {cy}: (combined)."
+    f"in {cy}: {combined}."
     "based on these, recommend the better one and why"
     "two to three sentences"
 )
diff --git a/json_parsing.py b/json_parsing.py
index 6d6ea3e..238b315 100644
--- a/json_parsing.py
+++ b/json_parsing.py
@@ -7,7 +7,7 @@
 
 
 class Parser:
-
+  
     def __init__(self, json):
         load_dotenv()
         if 'data' in json:
@@ -31,47 +31,15 @@ def write_to_database(self, tb_name):
                     GROUP BY Name
                 );"""
             connection.execute(db.text(remove_dupes))
-        # self.get_ratings()
-
-    # def get_ratings(self):
-    #     if not isinstance(self.json, type([])):
-    #         return
-    #     rows = []
-    #     for location in self.json:
-    #         location_id = int(location['location_id'])
-    #         url = (f"https://api.content.tripadvisor.com/api/v1/location/"
-    #         f"{location_id}/details")
-    #         headers = {"accept": "application/json"}
-    #         data = {
-    #             'key': self.key
-    #         }
 
-    #         r = requests.get(url, headers=headers, params=data)
-    #         if r.status_code == 200:
-    #             flattened = pd.json_normalize(r.json())
-    #             rows.append(flattened)
-    #     df = pd.concat(rows, ignore_index=True)
-    #     for col in df.columns:
-    #         if df[col].apply(lambda x: isinstance(x, (dict, list))).any():
-    #             df[col] = df[col].apply(json.dumps)
-    #     df = df.infer_objects()
-    #     print(df)
-    #     print(df.dtypes)
-    #     # df.to_sql("temp", con=self.engine, if_exists='append', index=False)
+    def pull_list(self, table_name, city):
+        query = (f"SELECT * FROM {table_name} "
+                 f"WHERE \"address_obj.city\" = '{city}' LIMIT 10;")
+        with self.engine.connect() as connection:
+            result = connection.execute(db.text(query)).fetchall()
+            print(pd.DataFrame(result))
 
-    #     join_command = """CREATE TABLE recommendations AS
-    #      SELECT * FROM locations
-    #      JOIN temp ON locations.location_id = temp.location_id;"""
-    #     with self.engine.connect() as connection:
-    #         connection.execute(db.text(join_command))
-    #     self.drop("temp")
-        
     def drop(self, table_name):
         command = f"DROP TABLE IF EXISTS {table_name}"
         with self.engine.connect() as connection:
             connection.execute(db.text(command))
-
-with open('sampleJSON.txt', 'r') as file:
-    location = file.read()
-test = Parser(json.loads(location))
-test.write_to_database("locations")