Update app.py

app.py

@@ -64,12 +64,14 @@ df_total = df_total[['XGB_Score', 'mousescore_Exomiser',
 st.title('Blood Pressure Gene Prioritisation Post-GWAS')
 st.markdown("""
 A machine learning pipeline for predicting disease-causing genes post-genome-wide association study in blood pressure.
+
+https://doi.org/10.21203/rs.3.rs-2402775/v1
 """)
 
 
 collect_genes = lambda x : [str(i) for i in re.split(",|,\s+|\s+", x) if i != ""]
 
-input_gene_list = st.text_input("Input list of HGNC genes (enter comma separated):")
+input_gene_list = st.text_input("Input a list of multiple HGNC genes (enter comma separated):")
 gene_list = collect_genes(input_gene_list)
 explainer = shap.TreeExplainer(xgb)
 
@@ -111,7 +113,7 @@ else:
     pass
 
 
-input_gene = st.text_input("Input individual HGNC gene:")
+input_gene = st.text_input("Input an individual HGNC gene:")
 df2 = df_total[df_total.index == input_gene]
 df2['Gene'] = df2.index
 df2.reset_index(drop=True, inplace=True)