Update app.py

app.py

@@ -21,18 +21,7 @@ disease_or_gard_id = st.text_input('Input a rare disease term or a GARD ID.', 'F
 
 # st.code(body, language="python")
 
-#LSTM RNN Epi Classifier Model
-classify_model_vars = classify_abs.init_classify_model()
-
-#GARD Dictionary - For filtering and exact match disease/GARD ID identification
-GARD_dict, max_length = extract_abs.load_GARD_diseases()
-
-#BioBERT-based NER pipeline, open `entities` to see 
-NER_pipeline, entity_classes = extract_abs.init_NER_pipeline()
 
-#max_results is Maximum number of PubMed ID's to retrieve BEFORE filtering
-max_results = st.sidebar.number_input(label, min_value=1, max_value=None, value=50)
-# https://docs.streamlit.io/library/api-reference/widgets/st.number_input
 
 # st.radio(label, options, index=0, format_func=special_internal_function, key=None, help=None, on_change=None, args=None, kwargs=None, *, disabled=False)
 # https://docs.streamlit.io/library/api-reference/widgets/st.radio
@@ -43,6 +32,26 @@ filtering = st.sidebar.radio(
 extract_diseases = st.sidebar.checkbox("Extract Rare Diseases", value=False)
 # https://docs.streamlit.io/library/api-reference/widgets/st.checkbox
 
+#LSTM RNN Epi Classifier Model
+with st.spinner('Loading Epidemiology Classification Model...'):
+    classify_model_vars = classify_abs.init_classify_model()
+st.success('Epidemiology Classification Model Loaded!')
+
+#GARD Dictionary - For filtering and exact match disease/GARD ID identification
+with st.spinner('Loading GARD Rare Disease Dictionary...'):
+    GARD_dict, max_length = extract_abs.load_GARD_diseases()
+st.success('GARD Rare Disease Dictionary Loaded!')
+
+
+#BioBERT-based NER pipeline, open `entities` to see 
+with st.spinner('Loading Epidemiology Extraction Model...'):
+    NER_pipeline, entity_classes = extract_abs.init_NER_pipeline()
+st.success('Epidemiology Extraction Model Loaded!')
+
+#max_results is Maximum number of PubMed ID's to retrieve BEFORE filtering
+max_results = st.sidebar.number_input(label, min_value=1, max_value=None, value=50)
+# https://docs.streamlit.io/library/api-reference/widgets/st.number_input
+
 #filtering options are 'strict','lenient'(default), 'none'
 if text:
   df = extract_abs.search_term_extraction(disease_or_gard_id, max_results, filtering,