Update app.py

app.py

@@ -5,10 +5,10 @@ import pandas as pd
 import tensorflow as tf
 
 # Load the trained model
-model = tf.keras.models.load_model("./mon_modele.bin")
+model = tf.keras.models.load_model("saaara/real_estate_price_prediction/mon_modele.bin")
 
 # Load the original dataset to get unique categories for 'secteur' and 'city'
-original_df = pd.read_excel("./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()