updated cache decorator

app.py

@@ -4,13 +4,20 @@ from beluga import load_model, process_emotions, generate_prompt
 from emodeepface import check_image_rotation, process_photo
 
 # add streamlit cache to prevent multiple reloads of beluga model
-@st.cache(allow_output_mutation=True, suppress_st_warning=True)
+@st.cache_resource
 def load_cached_model():
     return load_model()
 
+# display loading message when app is accessed/refreshed
+loading_message = st.empty()
+loading_message.text("Loading model... Please wait.")
+
 # begin loading beluga model and tokenizer
 model, tokenizer = load_cached_model()
 
+# clear loading message
+loading_message.empty()
+
 # title webpage
 st.title("Affective Journaling Assistant")