Update app.py

app.py

@@ -6,7 +6,7 @@ import numpy as np
 from sklearn.metrics.pairwise import cosine_similarity
 
 # Load a smaller portion of the dataset
-dataset = load_dataset("MongoDB/embedded_movies", split='train[:5%]')
+dataset = load_dataset("MongoDB/embedded_movies", split='train[:80%]')
 dataset_df = pd.DataFrame(dataset)
 
 # Data cleaning and preprocessing