Update pages/1_Admission.py

pages/1_Admission.py

@@ -8,6 +8,35 @@ import spacy
 from spacy import displacy
 import en_ner_bc5cdr_md
 
+
+from streamlit.components.v1 import html
+
+def nav_page(page_name, timeout_secs=3):
+    nav_script = """
+        <script type="text/javascript">
+            function attempt_nav_page(page_name, start_time, timeout_secs) {
+                var links = window.parent.document.getElementsByTagName("a");
+                for (var i = 0; i < links.length; i++) {
+                    if (links[i].href.toLowerCase().endsWith("/" + page_name.toLowerCase())) {
+                        links[i].click();
+                        return;
+                    }
+                }
+                var elasped = new Date() - start_time;
+                if (elasped < timeout_secs * 1000) {
+                    setTimeout(attempt_nav_page, 100, page_name, start_time, timeout_secs);
+                } else {
+                    alert("Unable to navigate to page '" + page_name + "' after " + timeout_secs + " second(s).");
+                }
+            }
+            window.addEventListener("load", function() {
+                attempt_nav_page("%s", new Date(), %d);
+            });
+        </script>
+    """ % (page_name, timeout_secs)
+    html(nav_script)
+
+    
 # Store the initial value of widgets in session state
 if "visibility" not in st.session_state:
     st.session_state.visibility = "visible"
@@ -69,14 +98,20 @@ admissionid =col4.write(f"Admission ID:  {HospitalAdmission} ")
 col1, col2, col3, col4 = st.columns(4)
 with col1:
 #    st.button('Admission')
-    st.button("🏥 Admission")
+    if st.button("🏥 Admission"):
+        nav_page('Admission')
+
 with col2:
-    st.button('📆Daily Narrative')
+    if st.button('📆Daily Narrative'):
+        nav_page('Daily Narrative')
+  
 with col3:
-    st.button('Discharge Plan')
+    if st.button('Discharge Plan'):
+        nav_pages('Discharge Plan')
 with col4:
-    st.button('📝Social Notes')
-
+    if st.button('📝Social Notes'):
+        nav_page('Social Notes')
+    
 
 # Query out relevant Clinical notes
 original_text =  df.query(