update app.py

app.py

@@ -18,6 +18,9 @@ tokenizer = AutoTokenizer.from_pretrained("vaiibhavgupta/finetuned-bleurt-large"
 subsections = pd.read_csv('tp-subsections.csv').dropna(axis=0, how='any', subset=['question'])
 
 def reset():
+    entry = {"subsection":st.session_state.ind, "source":passage, "question":question, "answer":answer, "mpnet_response":mpnet_res, "bleurt_response":bleurt_res, "correct_response":is_correct}
+    data, count = supabase.table('automatic-short-answer-scoring') \
+        .insert(entry).execute()
     st.session_state.ind = False
     st.session_state.student_answer = False
 
@@ -77,9 +80,7 @@ if st.session_state.ind:
                     st.write('Nope, you said', st.session_state.student_answer) 
                     st.write('A better answer would have been: ', answer)
             st.button('Reset', on_click=reset)
-            entry = {"subsection":st.session_state.ind, "source":passage, "question":question, "answer":answer, "mpnet_response":mpnet_res, "bleurt_response":bleurt_res, "correct_response":is_correct}
-            data, count = supabase.table('automatic-short-answer-scoring') \
-                .insert(entry).execute()
+            
 
         else:
             st.write("Please indicate whether you are providing a correct answer.")