Update app.py

app.py

@@ -13,10 +13,10 @@ import nltk
 nltk.download('stopwords')
 
 # Load the trained model
-model = load_model("/home/petpooja-504/Desktop/lstm/best_model.keras")
+model = load_model("./best_model.keras")
 
 # Load the tokenizer
-with open("/home/petpooja-504/Desktop/lstm/tokenizer.pkl", "rb") as f:
+with open("./tokenizer.pkl", "rb") as f:
     tokenizer = pickle.load(f)
 
 # Ensure the tokenizer is valid