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pages/0_πŸ“™_Dictionary_(Search).py CHANGED
@@ -53,7 +53,7 @@ if title in datas:
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  title_mean = dictionary.meaning(title)
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  _string = '>'
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  for key in title_mean:
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- _string += f':violet[{key}]: {";".join(title_mean[key])}<br>'
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  st.markdown(_string, unsafe_allow_html=True)
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  except:
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  st.error(f'We cannot find the meaning of {title} in English (PyDictionary), which might be due to the bug.',
@@ -180,7 +180,7 @@ if title in datas:
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  if task == 'QA':
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  _all[_sl]['Replaced hypothesis'].append(_dict['replaced sentences'][i].replace('<s>', ''))
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  else:
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- _all[_sl]['Replaced hypothesis'].append(_dict['replaced sentences'][i])
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  _all[_sl]['Premise'].append(_dict['premise / sentence 2 / text'][i])
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  _all[_sl]['output'].append(_dict['output'][i])
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  if len(_all.keys()):
@@ -206,7 +206,7 @@ if title in datas:
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  _string += 'hypothesis**: :'
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  elif task == 'QA':
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  _string += 'question**: :'
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- elif task == 'paraphrase':
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  _string += 'sentence 1**: :'
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  _string += f'blue[{_all[_sl]["Original hypothesis"][j]}]'.replace(":", "[colon]")
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  _string += '<br> **Replaced '
@@ -214,14 +214,14 @@ if title in datas:
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  _string += 'hypothesis**: :'
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  elif task == 'QA':
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  _string += 'question**: :'
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- elif task == 'paraphrase':
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  _string += 'sentence 1**: :'
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  _string += f'red[{_all[_sl]["Replaced hypothesis"][j]}]'.replace(":", "[colon]")
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  if task == 'NLI':
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  _string += '<br> **Premise**: :'
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  elif task == 'QA':
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  _string += '<br> **Text**: :'
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- elif task == 'paraphrase':
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  _string += '<br> **Sentence 2**: :'
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  _string += f'blue[{_all[_sl]["Premise"][j]}]'.replace(":", "[colon]")
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  _string += "<br>**Model's prediction:** :" + f'blue[{_all[_sl]["output"][j]}]'.replace(":", "[colon]")
 
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  title_mean = dictionary.meaning(title)
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  _string = '>'
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  for key in title_mean:
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+ _string += f':violet[{key}]: {"; ".join(title_mean[key])}<br>'
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  st.markdown(_string, unsafe_allow_html=True)
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  except:
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  st.error(f'We cannot find the meaning of {title} in English (PyDictionary), which might be due to the bug.',
 
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  if task == 'QA':
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  _all[_sl]['Replaced hypothesis'].append(_dict['replaced sentences'][i].replace('<s>', ''))
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  else:
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+ _all[_sl]['Replaced hypothesis'].append(_dict['replaced sentences'][i].replace('[CLS]', '', 1))
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  _all[_sl]['Premise'].append(_dict['premise / sentence 2 / text'][i])
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  _all[_sl]['output'].append(_dict['output'][i])
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  if len(_all.keys()):
 
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  _string += 'hypothesis**: :'
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  elif task == 'QA':
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  _string += 'question**: :'
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+ elif task == 'Paraphrase':
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  _string += 'sentence 1**: :'
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  _string += f'blue[{_all[_sl]["Original hypothesis"][j]}]'.replace(":", "[colon]")
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  _string += '<br> **Replaced '
 
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  _string += 'hypothesis**: :'
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  elif task == 'QA':
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  _string += 'question**: :'
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+ elif task == 'Paraphrase':
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  _string += 'sentence 1**: :'
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  _string += f'red[{_all[_sl]["Replaced hypothesis"][j]}]'.replace(":", "[colon]")
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  if task == 'NLI':
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  _string += '<br> **Premise**: :'
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  elif task == 'QA':
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  _string += '<br> **Text**: :'
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+ elif task == 'Paraphrase':
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  _string += '<br> **Sentence 2**: :'
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  _string += f'blue[{_all[_sl]["Premise"][j]}]'.replace(":", "[colon]")
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  _string += "<br>**Model's prediction:** :" + f'blue[{_all[_sl]["output"][j]}]'.replace(":", "[colon]")