Update app.py

app.py

@@ -11,7 +11,7 @@ embedding_model = SentenceTransformer("thenlper/gte-large")
 
 # Example dataset with genres (replace with your actual data)
 dataset = load_dataset("hugginglearners/netflix-shows")
-dataset = dataset[0].filter(lambda x: x['description'] is not None and x['listed_in'] is not None and x['title'] is not None)
+dataset = dataset.filter(lambda x: x['description'] is not None and x['listed_in'] is not None and x['title'] is not None)
 data = dataset['train']  # Accessing the 'train' split of the dataset
 
 # Convert the dataset to a list of dictionaries for easier indexing