Update app.py

app.py

@@ -194,4 +194,9 @@ if disease_or_gard_id:
         else:
             st.subheader("Categories of Results")
             st.markdown("    - **PROB_OF_EPI**: Probability that the paper is an epidemiologic study based on its abstract.  \n  - **IsEpi**: If it is an epidemiologic study (If PROB_OF_EPI >0.5)  \n  - **EPI**: Epidemiology Types are the metrics used to estimate disease burden such as 'incidence', 'prevalence rate', or 'occurrence'  \n  - **STAT**: Epidemiology Rates describe how many people are afflicted by a disease.  \n  - **DATE**: The dates when the epidemiologic studies were conducted  \n  - **LOC**: Where the epidemiologic studies were conducted.  \n  - **SEX**: The biological sexes mentioned in the abstract. Useful for diseases that disproportionately affect one sex over the other or may provide context to composition of the study population  \n  - **ETHN**: Ethnicities, races, and nationalities of those represented in the epidemiologic study.")
-        #st.dataframe(data=None, width=None, height=None)
+        #st.dataframe(data=None, width=None, height=None)
+
+st.caption("If you see any bugs or routes for improvements, please open a [pull request](https://huggingface.co/spaces/ncats/EpiPipeline4RD/discussions).")
+
+st.caption("If you have any questions, please contact [William.Kariampuzha@utsouthwestern.edu](mailto:William.Kariampuzha@utsouthwestern.edu) or [Qian.Zhu@nih.gov](mailto:Qian.Zhu@nih.gov).")
+