Update app.py

app.py

@@ -4,11 +4,12 @@ import joblib
 import numpy as np
 from models.neural_network.inference import load_model_and_preprocessor
 
-# Load the pre-trained model
-nn_model, nn_preprocessor = load_model_and_preprocessor('/Users/ashishpoudel/Downloads/AircraftFuelPrediction-main/saved_models/nn_model.keras',
-                                                        '/Users/ashishpoudel/Downloads/AircraftFuelPrediction-main/saved_models/nn_preprocessor.pkl')
+from huggingface_hub import hf_hub_download
+
+# Download the model from Hugging Face hub
+model_filename = hf_hub_download(repo_id="poudel/AircraftFuelPrediction", filename='nn_model.keras','nn_preprocessor.pkl
+')
 
-xgboost_model = joblib.load('/Users/ashishpoudel/Downloads/AircraftFuelPrediction-main/saved_models/xgboost_model.joblib')
 
 # Load the unique aircraft data
 aircraft_data = pd.read_csv('/Users/ashishpoudel/Downloads/AircraftFuelPrediction-main/datasets/aircraft_data.csv').drop_duplicates(subset='model')