Update app.py

app.py

@@ -6,6 +6,8 @@ from transformers import RobertaTokenizer, TFRobertaForSequenceClassification
 from sentence_transformers import SentenceTransformer, util
 import spotipy
 from spotipy.oauth2 import SpotifyClientCredentials
+import os
+from dotenv import load_dotenv 
 
 sim_model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 
@@ -46,8 +48,8 @@ def match_songs_with_sentiment(user_sentiment_label, user_sentiment_score,inputV
     # Select the top five songs and return
     return matched_songs.loc[top_5.index, ['song','artist','seq','similarity','sentiment','score']]
 
-client_id = 'c34955a27b6447e3a1b92305d04bbbea'
-client_secret = '1d197925c0654b5da80bd3cfa1f5afdd'
+client_id = os.getenv('client_id')
+client_secret = os.getenv('client_secret')
 
 client_credentials_manager = SpotifyClientCredentials(client_id=client_id, client_secret=client_secret)
 sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager)