old streamlit, let's try

app.py

@@ -13,17 +13,17 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 from transformers import MarianMTModel, MarianTokenizer
 model_name = 'Helsinki-NLP/opus-mt-ROMANCE-en'
 
-@st.cache_resource
+@st.cache
 def get_tokenizer(model_name):
     return MarianTokenizer.from_pretrained(model_name)
 
-@st.cache_resource
+@st.cache
 def get_model(model_name):
     return MarianMTModel.from_pretrained(model_name).to(device)
 
 tokenizer = get_tokenizer(model_name)
 model = get_model(model_name)
-"""
+
 print(f"The model has {model.num_parameters():,d} parameters.")
 
 input_text = st.text_input("Enter text to translate", "Hola, mi nombre es Juan")
@@ -68,4 +68,3 @@ with tokenizer.as_target_tokenizer():
 
 st.write(probs_table)
 st.write(model.config.decoder_start_token_id)
-"""