Update app.py

app.py

@@ -24,13 +24,13 @@ dnn_model = load_model('sms_spam_detection_dnnmodel.h5')
 rnn_model = load_model('spam_detection_rnn_model.h5')
 
 # Loading the model using pickle
-with open(r'D:/one/OneDrive/Desktop/Streamlit/Model_backprop.pkl', 'rb') as file:
+with open(r'Model_backprop.pkl', 'rb') as file:
     backprop_model = pickle.load(file)
 
-with open(r'D:/one/OneDrive/Desktop/Streamlit/Percep_model.pkl', 'rb') as file:
+with open(r'Percep_model.pkl', 'rb') as file:
     perceptron_model = pickle.load(file)
 
-with open(r'D:/one/OneDrive/Desktop/Streamlit/tokeniser.pkl', 'rb') as file:
+with open(r'tokeniser.pkl', 'rb') as file:
     loaded_tokeniser = pickle.load(file)
 
 lstm_model_path='Lstm_model.h5'