Update app.py

app.py

@@ -1,3 +1,4 @@
+import streamlit as st
 import numpy as np
 import pandas as pd
 import pickle
@@ -24,4 +25,14 @@ model = pickle.load(open('fitted_model.sav', 'rb'))
 predictions = list(model.predict(data))
 
 output = pd.Series(data=predictions, index=data.index, name="XGB_Score")
-df_total = pd.concat([data, output], axis=1)
+df_total = pd.concat([data, output], axis=1)
+
+
+st.title('Blood Pressure Gene Prioritisation Post-Genome-wide Association Study')
+st.markdown("""
+A machine learning pipeline for predicting disease-causing genes post-genome-wide association study in blood pressure.
+""")
+
+st.sidebar.header('Input Gene')
+sepal_length = st.text_input(
+    label='HGNC Gene Name')