diff --git a/live_price_display.py b/live_price_display.py
index 27b1788..7908755 100755
--- a/live_price_display.py
+++ b/live_price_display.py
@@ -6,7 +6,7 @@
 import pandas as pd
 # import psycopg2
 
-from src.parameters import ALPHA_VANTAGE_API_KEY  # type: ignore[attr-defined]
+# from src.parameters import ALPHA_VANTAGE_API_KEY  # type: ignore[attr-defined]
 
 ALPHA_VANTAGE_ENDPOINT = "https://www.alphavantage.co/query"
 
@@ -16,43 +16,43 @@ class LivePriceDisplay:
     Returns the most recent price of the selected company.
     """
 
-    @staticmethod
-    def display_final_price_av(company_name: str) -> Union[str, dict, Any]:
-        """
-        Returns a the price using Alpha Vantage.
+    # @staticmethod
+    # def display_final_price_av(company_name: str) -> Union[str, dict, Any]:
+    #     """
+    #     Returns a the price using Alpha Vantage.
 
-        Args:
-            company_name: The ticker symbol of the company.
+    #     Args:
+    #         company_name: The ticker symbol of the company.
 
-        Returns:
-            The most recent price.
-        """
-        try:
-            # Gets last available price by default
-            price_params: dict = {
-                "apikey": ALPHA_VANTAGE_API_KEY,
-                "function": "TIME_SERIES_DAILY",
-                "symbol": company_name,
-            }
-            price_response: requests.models.Response = requests.get(
-                ALPHA_VANTAGE_ENDPOINT, params=price_params, timeout=20
-            )
-            if price_response.ok:
-                response_data: dict = price_response.json()
-                if "Time Series (Daily)" in response_data:
-                    price_list: dict = response_data["Time Series (Daily)"]
-                    most_recent_day: str = next(iter(price_list))
-                    return price_list[most_recent_day]["4. close"]
-                return response_data
-            return price_response
+    #     Returns:
+    #         The most recent price.
+    #     """
+    #     try:
+    #         # Gets last available price by default
+    #         price_params: dict = {
+    #             "apikey": ALPHA_VANTAGE_API_KEY,
+    #             "function": "TIME_SERIES_DAILY",
+    #             "symbol": company_name,
+    #         }
+    #         price_response: requests.models.Response = requests.get(
+    #             ALPHA_VANTAGE_ENDPOINT, params=price_params, timeout=20
+    #         )
+    #         if price_response.ok:
+    #             response_data: dict = price_response.json()
+    #             if "Time Series (Daily)" in response_data:
+    #                 price_list: dict = response_data["Time Series (Daily)"]
+    #                 most_recent_day: str = next(iter(price_list))
+    #                 return price_list[most_recent_day]["4. close"]
+    #             return response_data
+    #         return price_response
 
-        except (
-            requests.exceptions.MissingSchema,
-            requests.RequestException,
-            KeyError,
-            IndexError,
-        ):
-            return "Error fetching price"
+    #     except (
+    #         requests.exceptions.MissingSchema,
+    #         requests.RequestException,
+    #         KeyError,
+    #         IndexError,
+    #     ):
+    #         return "Error fetching price"
 
     @staticmethod
     def display_final_price_yf(company_name: str) -> Union[float, str]:
diff --git a/news_display.py b/news_display.py
index 553875b..9a5c90d 100755
--- a/news_display.py
+++ b/news_display.py
@@ -1,8 +1,8 @@
 """This module displays the most recent news of the selected company if available"""
 
 import requests
+import streamlit as st
 
-from src.parameters import NEWS_API_KEY  # type: ignore[attr-defined]
 
 NEWS_ENDPOINT = "https://newsapi.org/v2/everything"
 
@@ -22,7 +22,7 @@ def _collect_news(company_name: str) -> list:
         Returns:
             five_article: The most recent five articles
         """
-        news_params: dict = {"apiKey": NEWS_API_KEY, "qInTitle": company_name}
+        news_params: dict = {"apiKey": st.secrets.connections.newsapi["apiKey"], "qInTitle": company_name}
 
         news_response: requests.models.Response = requests.get(
             NEWS_ENDPOINT, params=news_params, timeout=20