Update app.py

app.py

@@ -49,8 +49,9 @@ def clean_and_parse_extracted_text(raw_text):
                 elif value > max_val:
                     flag = "H"
 
-            # Append structured data
-            data.append([component, value, min_val, max_val, unit, flag])
+            # Only append the data if the flag is abnormal (L or H)
+            if flag != "Normal":
+                data.append([component, value, min_val, max_val, unit, flag])
 
     # Create a DataFrame
     df = pd.DataFrame(data, columns=["Component", "Your Value", "Min", "Max", "Units", "Flag"])
@@ -70,7 +71,7 @@ def clean_and_parse_extracted_text(raw_text):
 
 def display_results(df):
     """
-    Display the parsed data in a table format.
+    Display the flagged abnormalities in a table format.
     """
     st.dataframe(df, use_container_width=True)
 
@@ -95,8 +96,8 @@ if uploaded_file is not None:
         # Parse the extracted text into a structured format
         parsed_data = clean_and_parse_extracted_text(extracted_text)
 
-        # Display the structured data
-        st.subheader("Parsed Blood Test Results")
+        # Display the structured data (only abnormalities)
+        st.subheader("Flagged Abnormalities")
         display_results(parsed_data)
 
     except Exception as e: