Update app.py

app.py

@@ -6,8 +6,7 @@ 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 
+import os 
 
 sim_model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 
@@ -48,8 +47,8 @@ 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 = os.getenv('client_id')
-client_secret = os.getenv('client_secret')
+client_id = os.environ.get('client_id')
+client_secret = os.environ.get('client_secret')
 
 client_credentials_manager = SpotifyClientCredentials(client_id=client_id, client_secret=client_secret)
 sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager)