Update app.py

app.py

@@ -1,5 +1,4 @@
 import streamlit as st
-import os
 import requests
 import pandas as pd
 import json
@@ -10,8 +9,9 @@ def create_tf_serving_json(data):
 
 # Function to send a request to the model endpoint
 def score_model(dataset):
-    url = 'https://adb-3810412827421523.3.azuredatabricks.net/serving-endpoints/churnpredictionmodel0323/invocations'
-    headers = {'Authorization': f'Bearer {os.environ.get("dapi0c3745fa836d2634501e12bde7463bb1-2")}', 'Content-Type': 'application/json'}
+    url = 'https://adb-3810412827421523.3.azuredatabricks.net/serving-endpoints/churnpredictionmodel0323/invocations' 
+    token = 'dapi0c3745fa836d2634501e12bde7463bb1-2' 
+    headers = {'Authorization': f'Bearer {token}', 'Content-Type': 'application/json'}
     ds_dict = {'dataframe_split': dataset.to_dict(orient='split')} if isinstance(dataset, pd.DataFrame) else create_tf_serving_json(dataset)
     data_json = json.dumps(ds_dict, allow_nan=True)
     response = requests.request(method='POST', headers=headers, url=url, data=data_json)