Update app.py

app.py

@@ -4,7 +4,9 @@ from sklearn.preprocessing import StandardScaler
 from sklearn.metrics.pairwise import cosine_similarity
 
 # Load your dataset
-df1 = pd.read_csv('df1.csv')  # Replace 'your_dataset.csv' with your actual dataset filename
+df1 = pd.read_csv('df1.csv') 
+df1 = df1.dropna()#drop null values
+
 
 # Copy the content-based recommendation code
 audio_features = df1[['danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness',