Update app.py

app.py

@@ -12,10 +12,10 @@ model_path = 'models/fraud_detection_model.h5'
 fraud_model = load_fraud_detection_model(model_path)
 
 from datasets import load_dataset
-dataset = load_dataset("iix/Parquet_FIles/")
+dataset = load_dataset("iix/Parquet_FIles/Fraud_detection.parquet")
 # Load data
 #data_path = 'data/dataset.csv'
-df, X_scaled = preprocess_data_for_streamlit('datasets/Fraud_detection.parquet')
+df, X_scaled = preprocess_data_for_streamlit(dataset)
 
 # Streamlit App
 st.title('Fraud Detection Web App')