Update src/streamlit_app.py

src/streamlit_app.py

@@ -25,6 +25,37 @@ st.set_page_config(
     initial_sidebar_state="expanded",
 )
 
+st.markdown(
+    """
+    <div style="text-align:center; margin-bottom:20px;">
+        <h2>GVHD-Intel Pro</h2>
+        <p style="max-width:900px; margin:0 auto;">
+            A modular clinical decision-support framework for predicting 
+            Acute GVHD, Chronic GVHD, and overall GVHD risk after HSCT 
+            using machine learning models trained on transplant datasets. 
+            The platform provides explainability by displaying the top 20 
+            risk factors contributing to each prediction.
+        </p>
+        <p style="max-width:900px; margin:8px auto 0 auto;">
+            It also supports overall survival (all-cause mortality) risk estimation 
+            and incorporates structured variables and preprocessing pipelines 
+            in preparation for time-to-event modeling using Cox Proportional 
+            Hazards analysis.
+        </p>
+        <p style="max-width:900px; margin:8px auto 0 auto;">
+            Enter recipient and donor details below to generate individualized 
+            risk predictions.
+        </p>
+        <p style="max-width:900px; margin:12px auto 0 auto; font-size:14px; color:gray;">
+            Research tool only — not validated for clinical use.
+        </p>
+    </div>
+    """,
+    unsafe_allow_html=True
+)
+
+st.divider()
+
 # Initialize sidebar (model/target/threshold defaults etc.)
 sidebar()
 
@@ -301,4 +332,18 @@ if submitted:
     # Display result
     result_df = add_predictions(pd.DataFrame(index=[0]), [pred_prob])
     st.subheader("Prediction")
-    st.dataframe(result_df, use_container_width=False, width=420)
+    st.dataframe(result_df, use_container_width=False, width=420)
+
+st.divider()
+
+st.markdown(
+    """
+    <div style="text-align:center; font-size:14px; color:grey; opacity:0.85; padding-top:20px; line-height:1.5;">
+        <br>
+        ©2025 Department of Health – Abu Dhabi<br>
+        Partnership: SSMC (PureHealth) & MBZUAI<br>
+        Data Collaborators: SKMC, Tawam Hospital, KHCC (Jordan)
+    </div>
+    """,
+    unsafe_allow_html=True
+)