Update app.py

app.py

@@ -10,7 +10,7 @@ model = tf.keras.models.load_model('real_estate_price_prediction_model.h5')
 
     
 # Load the original dataset to get unique categories for 'secteur' and 'city'
-original_df = pd.read_excel("main/real_estate_price_prediction/Moroccan Real Estate Price Clean Dataset .xlsx")  # Replace with your dataset path
+original_df = pd.read_excel("saaara/real_estate_price_prediction/Moroccan Real Estate Price Clean Dataset .xlsx")  # Replace with your dataset path
 
 # Get unique categories for 'secteur' and 'city'
 unique_secteurs = original_df['secteur'].unique()