Update app.py

app.py

@@ -5,6 +5,7 @@ from io import StringIO
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from text_extractor import *
 from text_annotatator import *
+from claim_details import *
 import os
 from streamlit_text_annotation import text_annotation
 
@@ -202,4 +203,32 @@ elif selected_menu == "Annotation Tool":
     if data:
         "Returned data:", data
 elif selected_menu == "Claim Status Report":
-    claim_number = st.text_input("Enter the Claim Number")
+    claim_number = st.text_input("Enter the Claim Number")
+    
+    st.subheader("Claim Attributes:")
+    claim_attributes = get_claim_details()
+    
+    for label,value in claim_attributes.items(): 
+        st.metric(label, value, delta=None, delta_color="normal", help=None)
+    
+    st.subheader("Injury Details:")
+    injury_details = get_injury_details() 
+    st.write(injury_details)
+    
+    
+    st.subheader("Injury Severity:")
+    injury_severity = get_injury_severity() 
+    st.write(injury_severity)
+    
+    st.subheader("Preexisting Conditions:")
+    preexisting_conditions = get_preexisting_conditions() 
+    st.write(preexisting_conditions)
+    
+    st.subheader("Work Capacity:")
+    work_capacity = get_work_capacity() 
+    st.write(work_capacity)
+    
+   
+    st.subheader("Injury Management Plan:")
+    injury_management_plan = get_injury_management_plan() 
+    st.write(injury_management_plan)