Update app.py

app.py

@@ -72,8 +72,8 @@ with st.spinner('Loading Epidemiology Models and Dependencies...'):
     #classify_model_vars = (nlp, nlpSci, nlpSci2, classify_model, classify_tokenizer)
 st.success('All Models and Dependencies Loaded!')
 
-disease_or_gard_id = st.text_input("Input a rare disease term or GARD ID such as Fellman syndrome, Classic Homocystinuria, phenylketonuria, GARD:000941")
-st.markdown("A full list of rare diseases tracked by GARD can be found [here](https://rarediseases.info.nih.gov/diseases/browse-by-first-letter)")
+disease_or_gard_id = st.text_input("Input a rare disease term or GARD ID.")
+st.markdown("Examples of rare diseases include Fellman syndrome, Classic Homocystinuria, phenylketonuria, and GARD:0009941. A full list of rare diseases tracked by GARD can be found [here](https://rarediseases.info.nih.gov/diseases/browse-by-first-letter)")
 
 if disease_or_gard_id:
   df = extract_abs.streamlit_extraction(disease_or_gard_id, max_results, filtering,