def read_complaint_portion(age,
sex,
auth_string,
case_id,
context,
language_model=None):
"""Reads user input and calls the /parse endpoint of Infermedica API to
extract conditions found in text.
Args:
age (dict): Patients age in {'value': int, 'unit': str} format.
sex (str): Patients sex.
auth_string (str): Authentication string.
case_id (str): Case ID.
context (list): List previous complaints.
language_model (str): Chosen language model.
Returns:
dict: Response from /parse endpoint.
"""
text = read_input('Describe you complaints')
if not text:
return None
resp = apiaccess.call_parse(age,
sex,
text,
auth_string,
case_id,
context,
language_model=language_model)
return resp.get('mentions', [])
def read_complaint_portion(auth_string, case_id, context, language_model=None):
"""Call the /parse endpoint of Infermedica API for the given message or have the user input the message beforehand.
"""
text = read_input('Describe you complaints')
if not text:
return None
resp = apiaccess.call_parse(text,
auth_string,
case_id,
context,
language_model=language_model)
return resp.get('mentions', [])
def read_complaint_portion(auth_string, case_id, context, language_model=None):
"""Reads user input and calls the /parse endpoint of Infermedica API to
extract conditions found in text.
Args:
auth_string (str): Authentication string.
case_id (str): Case ID.
context (list): List previous complaints.
lanugage_model (str): Chosen language model.
Returns:
dict: Response from /parse endpoint.
"""
text = read_input(
'Describe you complaints, Leave Blank and hit enter when finished')
if not text:
return None
resp = apiaccess.call_parse(text,
auth_string,
case_id,
context,
language_model=language_model)
return resp.get('mentions', [])