Update app.py

app.py

@@ -193,53 +193,22 @@ def recognize_face():
         st.info("Camera is not active. Start the camera to take a picture.")
 
 # --- View Attendance Records ---
-# def view_attendance_records():
-#     st.subheader("Attendance Records")
-#     cursor.execute("SELECT * FROM attendance ORDER BY date DESC, time DESC")
-#     records = cursor.fetchall()
-
-#     if records:
-#         df = pd.DataFrame(records, columns=["ID", "Name", "Roll No", "Date", "Time", "Status", "Emotion"])
-#         st.table(df)
-#     else:
-#         st.info("No attendance records available.")
-
-
-        
-import io
-import pandas as pd
-import streamlit as st
-
 def view_attendance_records():
-    # Styled Heading
     st.subheader("Attendance Records")
-    st.markdown("<h3 style='text-align: center;'>Download Attendance Records</h3>", unsafe_allow_html=True)
-
     cursor.execute("SELECT * FROM attendance ORDER BY date DESC, time DESC")
     records = cursor.fetchall()
 
     if records:
         df = pd.DataFrame(records, columns=["ID", "Name", "Roll No", "Date", "Time", "Status", "Emotion"])
         st.table(df)
-
-        # Convert DataFrame to Excel
-        towrite = io.BytesIO()
-        with pd.ExcelWriter(towrite, engine='xlsxwriter') as writer:
-            df.to_excel(writer, index=False, sheet_name='Attendance')
-        towrite.seek(0)
-
-        # Add a download button with the custom heading
-        st.download_button(
-            label="Download Attendance Records",
-            data=towrite,
-            file_name="attendance_records.xlsx",
-            mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
-        )
     else:
         st.info("No attendance records available.")
 
 
 
+
+
+
 # --- Main Logic ---
 if __name__ == "__main__":
     st.title("EMOTION-MARK-AI (FACIAL SENTIMENT ANALYSIZED ATTENDANCE TRACKER)")