Update app.py

app.py

@@ -5,8 +5,9 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 # Set the logger to display only CRITICAL messages
 logging.basicConfig(level=logging.CRITICAL)
 
+
 # Cache the model and tokenizer to avoid reloading it every time
-@st.cache_resource.(allow_output_mutation=True, suppress_st_warning=True)
+@st.experimental_singleton
 def load_model():
     model_name = "Abbeite/chest_and_physical_limitations"  # Replace with your actual model name
     tokenizer = AutoTokenizer.from_pretrained(model_name)