fontsize

app.py

@@ -58,7 +58,7 @@ def clear_data():
         del st.session_state[key]
 
 def annotate_mask(sent_id,sent):
-    show_instruction(f'Sentence {sent_id}',fontsize=12)
+    show_instruction(f'Sentence {sent_id}',fontsize=16)
     input_sent = tokenizer(sent).input_ids
     decoded_sent = [tokenizer.decode([token]) for token in input_sent[1:-1]]
     st.session_state[f'decoded_sent_{sent_id}'] = decoded_sent
@@ -77,7 +77,7 @@ def annotate_mask(sent_id,sent):
                     mask_locs=st.session_state[f'mask_locs_{sent_id}'])
 
 def annotate_options(sent_id,sent):
-    show_instruction(f'Sentence {sent_id}',fontsize=12)
+    show_instruction(f'Sentence {sent_id}',fontsize=16)
     input_sent = tokenizer(sent).input_ids
     decoded_sent = [tokenizer.decode([token]) for token in input_sent[1:-1]]
     char_nums = [len(word)+2 for word in decoded_sent]
@@ -203,7 +203,7 @@ if __name__=='__main__':
         sent_1 = st.session_state['sent_1']
         sent_2 = st.session_state['sent_2']
 
-        show_instruction('3. Select options and click "Confirm"')
+        show_instruction('3. Select options and click "Confirm"',fontsize=16)
         show_instruction('------------------------------',fontsize=32)
         annotate_options(1,sent_1)
         show_instruction('------------------------------',fontsize=32)
@@ -262,7 +262,7 @@ if __name__=='__main__':
                                     index=['Sentence 1','Sentence 2'])
             cols = st.columns(3)
             with cols[1]:
-                show_instruction('Prob. of predicting each option in each sentence',fontsize=12)
+                show_instruction('Probability of predicting each option in each sentence',fontsize=12)
                 st.dataframe(df.style.highlight_max(axis=1),use_container_width=True)
 
             compare_1 = np.array(masked_ids_option_1['sent_1'])!=np.array(masked_ids_option_1['sent_2'])