Update app.py

app.py

@@ -22,15 +22,6 @@ model_path = hf_hub_download(repo_id=repo_id, filename=filename)
 with open(model_path, "rb") as f:
     model, le = pickle.load(f)
 
-# Get input from the user, convert to integer, and reshape to a 2D array
-try:
-    number_input = int(input("Enter a number: "))
-    encoded = model.predict([[number_input]])
-    word = le.inverse_transform(encoded)[0]
-    print(word)
-except ValueError:
-    print("Invalid input. Please enter an integer.")
-
 def predict_number_to_word(number):
     if not isinstance(number, (int, float)):
         return "Please enter a valid number."