Updates

pages/2_👨‍🏫_Начало_работы.py

@@ -194,7 +194,6 @@ if st.session_state.get('-LOGGED_IN_BOOL-'):
                     logs=LOGS,
                     logs_d=LOGS_D,
                     progress=PROGRESS_BAR,
-                    progress_d=PROGRESS_BAR_D,
                     progress_s=PROGRESS_BAR_S,
                     level=CEFR_TEXT_LEVEL,
                     tw_mode_automatic_mode=TARGET_WORDS_MODE,

pages/4_📝_Онлайн-тест.py

@@ -38,7 +38,7 @@ if st.session_state.get('-ONLINE_TEST_READY-') and st.session_state.get('-LOGGED
                        "Неуместные дистракторы": ''}
                       for i in range(len(tasks))]),
         num_rows="fixed",
-        height=40*len_answers,
+        height=45*len_answers,
         use_container_width=True)
     COMMENTS = ONLINE_TEST.text_input(label='**Прокомментировать**',
                                       placeholder='Напишите комментарий')

utilities_language_bert/esp_main_workflow_bert.py

@@ -22,7 +22,6 @@ def main_workflow(
         logs: ST_WIDGETS,
         logs_d: ST_WIDGETS,
         progress: st_progress,
-        progress_d: st_progress,
         progress_s: st_progress,
         level: str,
         tw_mode_automatic_mode: str,
@@ -40,7 +39,6 @@ def main_workflow(
     :param logs: widget to output logs to
     :param logs_d: show how many distractors already processed
     :param progress: progress bar
-    :param progress_d: distractors progress bar
     :param progress_s: sentences progress bar
     :param target_words: how target words are chosen: by user or automatically
     :param tw_mode_automatic_mode:

utilities_language_bert/esp_sentence_bert.py

@@ -73,7 +73,7 @@ class SENTENCE:
                     'sentence_text': self.original,
                     'original_text': f'{original_token1.text} {original_token2.text}',
                     'lemma': token[0],
-                    'pos': 'phrase',
+                    'pos': ('phrase', 'phrase'),
                     'gender': tags.get('Gender'),
                     'tags': tags,
                     'position_in_sentence': self.original.find(original_token1.text),

utilities_language_general/esp_utils.py

@@ -186,7 +186,7 @@ def get_distractors_from_model_bert(model, text_with_masked_task: str, lemma: st
     try:
         if distractor_minimum:
             bert_candidates = [token for token in model(text_with_masked_task,
-                                                        top_k=max_num_distractors + 20,
+                                                        top_k=max_num_distractors + 100,
                                                         targets=list(distractor_minimum))]
         else:
             bert_candidates = [token for token in model(text_with_masked_task, top_k=max_num_distractors + 100)]
@@ -197,7 +197,8 @@ def get_distractors_from_model_bert(model, text_with_masked_task: str, lemma: st
                 continue
             if candidate['token_str'].isalpha():
                 candidate_morph = nlp(candidate['token_str'])[0]
-                inflected_candidates.append((f"{candidate_morph.lemma_}_{candidate_morph.text}_{candidate_morph.pos_}", candidate['score']))
+                inflected_candidates.append((f"{candidate_morph.lemma_}_{candidate_morph.text}_{candidate_morph.pos_}",
+                                             candidate['score']))
     except KeyError:
         return None
     for candidate_distractor in inflected_candidates: