app.py

@@ -124,50 +124,55 @@ def main():
         df = load_data()
 
         # Look up the student's information using their email
-        student = df[df['EMAIL'].str.lower() == user_info['email'].lower()]
+        student_records = df[df['EMAIL'].str.lower() == user_info['email'].lower()]
 
-        if not student.empty:
+        if not student_records.empty:
             st.markdown("---")
             st.subheader('Your Grade Information:')
             
-            col1, col2 = st.columns(2)
-            
-            with col1:
-                st.markdown("<p class='big-font'>Name</p>", unsafe_allow_html=True)
-                st.write(f"{student['NAME'].values[0]}")
+            for index, record in student_records.iterrows():
+                st.markdown(f"### Course: {record['COURSE']}")
                 
-                st.markdown("<p class='big-font'>ID</p>", unsafe_allow_html=True)
-                st.write(f"{student['ID'].values[0]}")
-
-            with col2:
-                st.markdown("<p class='big-font'>Grade</p>", unsafe_allow_html=True)
-                grade = student['GRADE'].values[0]
-                if pd.isna(grade):
-                    grade_display = "N/A"
-                else:
-                    grade_display = f"{grade:.2f}"
-                st.write(grade_display)
+                col1, col2 = st.columns(2)
                 
-                st.markdown("<p class='big-font'>Remarks</p>", unsafe_allow_html=True)
-                remarks = student['REMARKS'].values[0]
-                if remarks == "Passed":
-                    st.success(remarks)
-                elif remarks == "Conditional":
-                    st.warning(remarks)
-                else:
-                    st.write(remarks)
-            
-            if not pd.isna(grade):
-                if grade > 1.9:
-                    message = f"Keep up the good work! Your grade of {grade:.2f} shows dedication. Consider seeking additional support to further improve your performance."
-                    st.markdown(f"<p class='message'>{message}</p>", unsafe_allow_html=True)
-                else:
-                    message = f"Congratulations! Your outstanding grade of {grade:.2f} demonstrates exceptional performance. Keep up the excellent work!"
-                    st.markdown(f"<p class='message'>{message}</p>", unsafe_allow_html=True)
-            
-            if remarks == "Conditional":
-                warning_message = "Warning: Your current status is Conditional. You need to pass or achieve a higher grade in the final term to improve your standing."
-                st.markdown(f"<p class='warning-message'>{warning_message}</p>", unsafe_allow_html=True)
+                with col1:
+                    st.markdown("<p class='big-font'>Name</p>", unsafe_allow_html=True)
+                    st.write(f"{record['NAME']}")
+                    
+                    st.markdown("<p class='big-font'>ID</p>", unsafe_allow_html=True)
+                    st.write(f"{record['ID']}")
+
+                with col2:
+                    st.markdown("<p class='big-font'>Grade</p>", unsafe_allow_html=True)
+                    grade = record['GRADE']
+                    if pd.isna(grade):
+                        grade_display = "N/A"
+                    else:
+                        grade_display = f"{grade:.2f}"
+                    st.write(grade_display)
+                    
+                    st.markdown("<p class='big-font'>Remarks</p>", unsafe_allow_html=True)
+                    remarks = record['REMARKS']
+                    if remarks == "Passed":
+                        st.success(remarks)
+                    elif remarks == "Conditional":
+                        st.warning(remarks)
+                    else:
+                        st.write(remarks)
+                
+                if not pd.isna(grade):
+                    if grade > 1.9:
+                        message = f"Keep up the good work! Your grade of {grade:.2f} shows dedication. Consider seeking additional support to further improve your performance."
+                        st.markdown(f"<p class='message'>{message}</p>", unsafe_allow_html=True)
+                    else:
+                        message = f"Congratulations! Your outstanding grade of {grade:.2f} demonstrates exceptional performance. Keep up the excellent work!"
+                        st.markdown(f"<p class='message'>{message}</p>", unsafe_allow_html=True)
+                
+                if remarks == "Conditional":
+                    warning_message = "Warning: Your current status is Conditional. You need to pass or achieve a higher grade in the final term to improve your standing."
+                    st.markdown(f"<p class='warning-message'>{warning_message}</p>", unsafe_allow_html=True)
+                
+                st.markdown("---")
         else:
             st.error('Your email is not found in our records. Please contact the administrator.')
 

encrypted_grades.csv

@@ -1 +1 @@
-gAAAAABnC1i2yFabbB-OM79Oj1t0FtsrKYI3bVog_tXt4BlspouWua6MmzCNM5mcyJ-Ww0nUy0Q4LLdzgA0RZ8P90l1ff3JaNG7jI_BcmSApOdWIRl-f0UU99qzZsa2nW6l6T6rYR_uhVQ6eYG6wg1nF0QP6ogzbD7tELtOHfYwUh7wZKzpz8FrBMll7MNjZOXaM9rUsMDJc-jc3QlEgPbQwEW58AupiYltQw5t6rczU1xHUeVMIfnEjD_nwKFsQGDEoBVclsbdKicSVKTC0xODrZascD4JiKG2moXB_4iDEvb9RI9brfcts616mjLE-6Bp4qV6732aHzKobzGvjFMkCBXdm3ly9mbEyoDoRQZ9woNJB-vJ_dF2wczf291ujZvm-ug-Z0YqU9QcC8rETUfvqz-HV4mUfSeCIbsrOgxL9iJd9AtcCS6cMvucPF1IT3_DbMEa9-IIrszxm2XQiJoUYHBINFEjoVy_odhTU1l-qn-qOOLX6hU_uEqHcPBn2CmLOVH2To2zTGHzU5Uni8SeCIdHkLcBMIypbfOOTkvcHly6ZkQllHwPAEUpydXKD2efQpCZJVG2n9f8kNdeoqPmu5RBdC3B8z9ZASGaPH7hyIwzwM93F5HofDrhaSJY8gM8Hj7GXSN9iTA1RekRV0lrQ2EuPYZVWvCbkd9LhjOfyqKt_ntPXih1U8qMQ4kxjYVKHJyflPpCzaIbw8JTzo_U_W93kJozSEAxSOpM8-avjdlF-JrZXOcP-FgxwavyYFxFTu1tJH3vG8torI2hMDksY5Gz4YxzAPOJKx86k97NpQU4pqYJtZiXRtuPrUqzR_WlJtopAlZlVQjLu5uM6VsxKSg9j6wGkyy4XKBxUJPeo4tdrpxEO3ZHIoIQ4UfvZ6qCMRYvJj4njlcfT9rlFvT49_hO7FKYnP3NAJLRdrP81S3UCVMJnOKURw24JJpiG5R-rfkrssIhCH248N4deZhpG8HciIedyAa2GyV68QUqF8HY2UUdDK5HIXRwf60Zoys-4z7zFTsJUweihJieG0q-RuRW0A_1CE2n_EmJAgo7YCFRLykukqaerSN5-LAd6o1kkuKitAJcFVnWA_JNlwhWD-990-3xzaj-zkEYtztI-0x3vtXIxesd0jxRynR3uyx3q9nIbkz7lT1ltorKbGgVrvcFyI6GS0a3-PXMsHrDUfQhP2yN449uuXLmiNzqUcRv83MFfH_6XkJV9RIsWAjS-Ao1NtT-QzPOxXx77Olq7sVz0JLe52YMD-yJXIBeHgMErAgg-88yq8Sii_6qGbgBtA3qD2IEV-BVi_9-tOM379RBu2zfT-T3jzOIknEUhHaPPUz3DACCbmGZcZZn87TfKZ-j3IOaJWCHxS0O2qyiWD8xNSqT9-acVvTGMSBw7gkVyzirr4_n38xHSl9yw3PyKwE5b4cTh5AUA_FgChywmdpyPmVjcho-LVT7HaAv6YgDZX3mnNCZ1AkljqBqSCgLbwtAqw_jHvzvQVyysOtauEwrgGTqVShs7IagB_F-vhYbo--FgukPNEMXDT8tikG-GYvZaHppiSfcdcWnZ6yi8YlKD4zdYz7ykCHpHgma0575DhzeQokakz4MGYMhhJ7xa1Tb3M9lPU6yCkRMLTQuv6UG7FSUAPzJO90SkUgWVCkZrtBSCzqGrEpxmyPolGof4I1MDuyFuYP5njNQbymX8jPzz3Q8zWrIBDLa0HZnQAOlfYrfi673Ovd0YJPBYuwCkU8ZgOGrqqROE1iQsttz30SOzJWBasuuu4v5vOezSk3N4Z6i_5XHuxaSoaaZ7mDa9wqDFAPkSZjteouiC6qI_PfilDuiBcE2YyypTnEEiClKh_bAOjL_hhSE_pcNAUG3f2CJn3XWPbvXqk58XJIJXNpimKZfoHmW9Li_JLJO-hHYNngBwaL7qITcWd8TLHw_LACORL0OPH4TO--0gBWPaH4L-dlphyHZ3MYC5xn4roxotDeXOpIWKKTsOVaFSWDR-v1N2kB5IDYQy5G_pnw3II3AZT-XsVAvsCuoD9gfstJTjxXMVQCnh7Z4cK6maGbxawDdv2hBeEyVBPg4rc8Bg2vMO3Qat46b7IYo7BHh99L94Y1AvNzRCVIA1PBIAXrpLO7AikbhJoi4ZVdaH96G0adxwAsdUVIeu_kd0p-cIn8jao8Tue-RpURZLJdzkMUFGzRnuoeW9iVx8iS5VBOdBDIK31-63hPrqbMcrwojZ3KdP2ni74tgBfhKwP9KChd9stXA5Ka1quq8WcoA7GFJt7o9ilCe6odqFIbtkhTANYBSegddq6_DJ5IBwqu81h3H-XzmkL4remUbmZgwGjwDkfKO88LEBhSgf3e2Szo_nIM063Gttk1xjk9va_HtKahL-FdNQdnhAtaYJina5OtXspjk0gX4oavVF9lI9SkN-tP_dOALUMqoK4wakL0pxBsfyEc9jOFWoNnD214T7dPg1-CsrbclmXz3UVuVdB4xW_hGKsbuXsj-JjxjRkWaiz9sm5LHFCrDwzg1C-ieMUM0l3baK_NkDZz3Bn3nR1ESaacUW-TS3jRshCFJVVhSVkpOlRabE52gkUTZ4uyufZVMzv11wPaO4pRd8U3uiV4aXT4wlX2AWYmy5cpiTLidhyTrU0EjWKnsjKQNZAD6fACpudBpm_HaTWrI-4WPx1xCOegi4IX_5sVCaziUl0BU77fCp7owvcX-Ojx6R5BYzxWbDBbKrqHYbfjXxv8f8_zga0elotZmQRMxUbUy1QmXYaTL0zDBMD6qJYGiad-sJqWoDkyyOOTGXlRVd1xqjXA7NVE95UNelnNjz9anSW-0HUbgt6w6NHkB0RY83cND9R_np7Hmf8YyGgrHXQYUqhvOTEkuDJqQJ11t9cUqK22HyrLSeqpAItWLwTdCYZAieI8lOD0BXiiI9WlifafTW1xvo7KFb0NR7orr8NSVaDx5IVm2DwtJ0aSOBp2mv3MbyjxvAhggKw6TB9x6oZUxzwaYzdQkIEYbmjvcWUOkSFeClQVMd2lnPL5Jzx7J37hHR0GBJ0xOQh3YHmN-4p6c-diOJsXrnFLRcleZ_u2XUpJeRNkpugLAnW58BmwYslKh3h6oaBYH9eXgYniKtYcjtGy4FVvGJO-u-Q715vDrEvoWimdBYthlRMs5h73cK81zWPFF7BizmFbzJvRnZd3k0TCH18_Fg1bX238jYcO9d8uZGiDKsIR1_5Hy3ZfpCXLzA1ID5qGRs3YRHzEW5w_YTQNGviEyYPyPI45XdYZWKY0sGq9EKWZGdiZKfikIh-JpL6uZgDRkeZaXmL8l7zIlPcQVw-1ehPYX7U7jeA5XRr2s0biEFxv_Lu7__fkx3PjXDJ9egtsiKRqX-yAXWcsD2C1TIPaDQJ8F31jOBizXDoRc-nmaz_VFVyc84el24RZqpfI94Yv1CgSQ4Np2jdO0BWbbt2WCcyp3ZfZShK5cf3w1_7nUo3zuT1Mx5dZp-wLttvBRXlIZyG3cox2MMaEePgZ-i0o3ElX0H1VuS-vhb1DneF0a51PoR8MwnNJdi9aZx9GToUdcXiS3Mkuz1Ll1HDP3L8-jV93otcntBzPJtwAZjZ3mCfVyKDL5yTmN6ureT5JilWEX_oMZ37as1OecicJIOlglnqAMNqhYsg2yMddofYvTx1p4CypbaxDV1M3gC0eo0zn9-njggdz6hTIdsDHAA2F7K3Ccf0eBtxNRyHGIxfKl-wEcYzNW9iBB1SjbOZ97rofCU7FNjynswJ-MqXaBomIpFkFy2NMOO_9zjh7vb3Ru4_xE7O5JWsPt0qw3Qbig67jFLWTnUYM0-wMWxqzKoAucEjO3qIO4l7SY8TTQ4ch2r8m3M4FlfuyXfV9dYfKvCdkgKXOeZXOM_A3ba_Mhuk9NyDhLTvESNU769O9WmJJLtMdILnU8vKzXt4e0u5yKyoFXMTiqPzo6ELZLxsjWtkYpbkIC1glNSUQUKuIYnadWImy7Vsa9OTvhqp3p6_uz_VThZvxubd6Gq5U9Hr3MSxa76MdrZh1r3y02oY-WNyCl04tWT9nvmxMCAmfq3m3YgzGSw6rzq_bllSYeFVPiB2L0TuJGONzDuCKIGJNs6M05pFyHPgSt_1UfnG5DFZ6cheqL2HKNjXw_pjflBQvI8abwIsdBx_hPCR13ugaHltW9IDOjRCLN75mnwvVaOl2I0iNno8-Zkk44q1SvGuNrsAnqxs2TbQORICwsj0Ns6gtScqvwNYQGrnCbT_p5fSC_ex0gMEaN_HOgHeXWogorxVCLGMzJn3B20JbCYyDYGMydY59jbNW100kBuTAxF28NM72C3T_dqEUhBGSY-DyWgDWigM4FpLXcx6gB_kaN13OscXiiBUfytq3FFB3tYB7GBLzDSgyJZDu7wtsf7fR8j1FUgbBKZF8X6orsFYu3e2Tx9Ldi8wZL06D7fBE9CxhvXLZRir1__aH33OA4U1i_7Vqlvq6lgbdxsRAxPwDIOUhUuS225_ODL0VKT2x_VEEIjo2DWtFXQzqvZoFnRNJMI5DVnV7pz3xzMGQluidUz2PebjpQiL9xfPzGbLF20JM1Ik6qh1eEOB9pROgg5eMuYGABc-fNqQ2G4mYoSkhofoV2RIzrPHgrHG3wIC3He8toecMsk48sqWRj4Wgyo4lUEjcSDRVrARsyncKOzxMgIIav3Um_bASN1pSzu2pmy9-wk-b5brDatPla1RfWdF-irYDYdBrNqBM6zqtKstMZjTCiws_k0x35t899_mC8bTsx8mwAUUdJJ11N0Z1eWKHH6omvhsYeIzeJlHI75LgHlgCPP93zMfBXfp6B0PIBZz0tSCL5awLul7OC0RsDN9dzTPCIxxvQ6aaKlQ__ZRkJaRBbyg2s80Ues9Fb8GCkWfPlyaFtjjKO0fz0C5xjac7kEViqzzNZANC0krLsCwffXINeu5vgKY_fcT2Nq9yDyez6WrxX1GcW1Ih0fzirPEEah7niQRCTqb0bcfcXER60w4fFiYcC3pWD_Bj7WICtFe0OrTszplx87_cFIlVjrCAn3JL4koofBfP1AVn-1QxeKc8uDQmZILrdHuYRQnCEH-xEzgbqleDM3MKwoxZcHcBGwUFRW8J5jIRm006x9Or68wKu4tUhUvRr8HbfaCjjsjLqS2czgbPy2DWFoZcQJgk_iTc6VSFz6QJRwbXJJJkgU98PX9vFoC3-4b4tXhWx2kvrymi_LOuMA7DTK21Sy0tjDNxc53-7JK3GbweN9dylwT6a2pao1iZhLUF5BEud1wIORtCJM_y7vAFVhyThwzgJ5lrGjMnWqw7EqSZcthdC7i3EJjRXsuGCelD9lMeUwpdFSte1Ww6RdVLYo5s214aLiFPey5eeLZGVmppgxKJvlxBdVKak_H6SZAO0KaogPKeKB5GVypTOBGg6RZCAU5frZFm0dM7-YPz3q3cWz8rTwTL8MVdmYTJkdMtkEM_TaOHndnmSO0_Hu8ZBipUn-1D4hTuNrLJy9MayKcs-rwbWypcxYHX76WMZ_4WkTLk4V5CanM7_-6q1f2Radx32WLEz-YWsDaVqPmrv_UDfDXveUY4FTEpxa1LRzAXT50Iq9amM6fqA2JndwHuzaSPHtvfEz-PukuTVF0UoOvurXxHrROmMmkWM3TQ5u5g==
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5_dqXGtnZlMAB3_ef1o36MsRUrDG0DQ0YOu5msdJeRLYxnUXfjCms0d8E1UPJNt01jHqSBhBD0IQJJwuEhTX1O3ahib-vmbTK4OZDSsb2XDei9RbuewM5osXcop0uDkZgT9RmwO2BAfTGyrIBIlO0xZwnwmPu6irgGIUD2qgZfpeVhAuHzsV0rgcg2bdKrRRtJFBh51aH6coS-1KDkZf03C0zNrWepIktNOuwbra-wmRd-4yF7vUKwj0ghh8RConqk2NAvPPHawmTfoXRekDn1tMUe4D-VasV8JXfGsd4g8hp8FpSwAg4829fNThJ7AIFMuIXfGqvIybs0WB-Qd8AfaHx54ao6Cys-VZTTdp7r9RtzBox4YDRyz5NBKyv3leOb04fKpMj9uZXeiRXG6OrohTI7Mgi5vxG5d6gow1R4QspDaGrnOK_NR75ye0Yp7BLLJ8xYh-wn97xuMyS8iapo9qqVDlGFGH-Bo-U0j3uhK15i0qlB02pUxlQkS8ZsvUcl-hB-f8_s8ziHZ8RBNutpjRkk0ZlyGMUndIC6p93D-oGcCfKXv-qeLQwqZVieUg28DNg_Vis6_lYJPeVefz73aer8LBIz5FMYPnQGfFcx_bWk7QOgguz-TzKbZ4svaogaGNqREggvfFiw3zvZuBYULpqIh_f-XdHj3bnfqiqM2FHXiLRIUmijwHOyQwzEbnKW-bPOIA94rDfxFKlTc54VSvCL10WYUJv-6N4SP8217S61wyaT4opLNf8H9Rsigj0IfMOWvAKOmDgC4lY8KL-pe97kJpFdgHp4DIR4BXv6Z46J3CoKo-_BjEb-JRj6quYuBGhACMrLc4u-WplUbgiMcXDy2kirHSG6VnLjoxvx99a2DQ-0CwVyLvXRg2gXTHe6A_rDiPl6B5WJVs_Vk2kB-wpUujRl4-ZUvYFFyIK7GdOfpleVpOPbbFpV8i2V0P3M3mK