Update app.py

app.py

@@ -3,8 +3,7 @@ import pickle
 import numpy as np
 
 # Load the trained model
-with open("random_forest_model.pkl", "rb") as file:
-    model = pickle.load(file)
+ model = joblib.load("random_forest_model.pkl")
 
 # Prediction function
 def predict_rainfall(temperature, humidity, cloud, sunshine, wind_direction):