Update app.py

app.py

@@ -5,7 +5,7 @@ import pandas as pd
 from sklearn.model_selection import train_test_split
 
 # Convert PDF to DataFrame (assuming it's already loaded as df in CSV or DataFrame format)
-df = pd.read_csv('diabetes_data.csv')  # Replace with the path to your CSV
+df = pd.read_csv('diabetes_prediction_dataset.csv')  # Replace with the path to your CSV
 df['label'] = (df['target_column'] > threshold_value).astype(int)  # Adjust target column for binary classification
 
 # Split the dataset