Update app.py

app.py

@@ -2,9 +2,10 @@ import gradio as gr
 import tensorflow as tf
 import numpy as np
 from tensorflow.keras.preprocessing.sequence import pad_sequences
+import pickle 
 
 # Load the trained model
-model = tf.keras.models.load_model('./model_file.pkl')  
+model = pickle.load(open('./model_file.pkl','rb')  
 
 def spam_detection(message):
     # Preprocess the input message