kcelia commited on
Commit
684e76f
1 Parent(s): bae49a6

chore: remove fill_in_default_disease function in version 6

Browse files
Files changed (1) hide show
  1. app.py +0 -23
app.py CHANGED
@@ -65,29 +65,6 @@ def display_default_symptoms_fn(default_disease: str) -> Dict:
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  }
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- # <!> This function has been paused due to UI issues.
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-
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- # def fill_in_fn(default_disease: str, *checkbox_symptoms: Tuple[str]) -> Dict:
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- # """
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- # Fill in the gr.CheckBoxGroup list with predefined symptoms of a selected default disease.
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- # Args:
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- # default_disease (str): The default selected disease
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- # *checkbox_symptoms (Tuple[str]): Existing checked symptoms
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- # Returns:
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- # dict: The updated gr.CheckBoxesGroup.
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- # """
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- #
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- # # Figure out the symptoms of the disease, selected by the user
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- # df = pd.read_csv(TRAINING_FILENAME)
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- # df_filtred = df[df[TARGET_COLUMNS[1]] == default_disease]
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- # symptoms = pretty_print(df_filtred.columns[df_filtred.eq(1).any()].to_list())
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- # # Check if there are existing symptoms, in the CheckbBxGroup list
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- # if any(lst for lst in checkbox_symptoms if lst):
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- # for sublist in checkbox_symptoms:
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- # symptoms.extend(sublist)
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- # return {box: symptoms for box in check_boxes}
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-
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-
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  def get_user_symptoms_from_checkboxgroup(checkbox_symptoms: List) -> np.array:
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  """
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  Convert the user symptoms into a binary vector representation.
 
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  }
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  def get_user_symptoms_from_checkboxgroup(checkbox_symptoms: List) -> np.array:
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  """
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  Convert the user symptoms into a binary vector representation.