Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import requests, json
 
 secret_key = st.secrets["secret_key"]
+wl_key = st.secrets["wl_key"]
 
 def call_api(url, keyword, wl_key, description_narrative):
     api_url = "https://wl-quality-rating.eastus2.inference.ml.azure.com/score"
@@ -26,12 +27,11 @@ def call_api(url, keyword, wl_key, description_narrative):
 url = st.text_input("Enter the URL of the webpage:")
 query = st.text_input("Enter the query the content aims at ranking for:")
 narrative = st.text_area("Enter the descriptive narrative of the searcher:")
-wordlift_key = st.text_input("Enter the WordLift Key:")
 
 # Button to execute analysis
 if st.button("Analyze"):
-    if url and query and narrative and wordlift_key:
-        response = call_api(url, query, wordlift_key, narrative)
+    if url and query and narrative and wl_key:
+        response = call_api(url, query, wl_key, narrative)
         
         # Display JSON response
         st.json(response)