python/spoonacular/com/spoonacular/default_api.py
def detect_food_in_text(self, text, **kwargs):  # noqa: E501
        """Detect Food in Text  # noqa: E501

        Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        >>> thread = api.detect_food_in_text(text, async_req=True)
        >>> result = thread.get()

        :param async_req bool
        :param str text: The text in which food items, such as dish names and ingredients, should be detected in. (required)
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
        if kwargs.get('async_req'):
            return self.detect_food_in_text_with_http_info(text, **kwargs)  # noqa: E501
        else:
            (data) = self.detect_food_in_text_with_http_info(text, **kwargs)  # noqa: E501
            return data
Detect Food in Text  # noqa: E501

        Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        >>> thread = api.detect_food_in_text(text, async_req=True)
        >>> result = thread.get()

        :param async_req bool
        :param str text: The text in which food items, such as dish names and ingredients, should be detected in. (required)
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        
Detect Food in Text  # noqa: E501
Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.  # noqa: E501
This method makes a synchronous HTTP request by default.

:param async_req bool
:param str text: The text in which food items, such as dish names and ingredients, should be detected in. (required)
:return: object
If the method is called asynchronously,
returns the request thread.
Detect Food in Text # noqa : E501 Take any text and find all mentions of food contained within it . This task is also called Named Entity Recognition ( NER ) . In this case the entities are foods . Either dishes such as pizza or cheeseburger or ingredients such as cucumber or almonds . # noqa : E501 This method makes a synchronous HTTP request by default . : param async_req bool : param str text : The text in which food items such as dish names and ingredients should be detected in . ( required ) : return : object If the method is called asynchronously returns the request thread .
def detect_food_in_text(self, text, **kwargs):  
        """Detect Food in Text  
        Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.  
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        >>> thread = api.detect_food_in_text(text, async_req=True)
        >>> result = thread.get()
        :param async_req bool
        :param str text: The text in which food items, such as dish names and ingredients, should be detected in. (required)
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """
        kwargs['_return_http_data_only'] = True
        if kwargs.get('async_req'):
            return self.detect_food_in_text_with_http_info(text, **kwargs)  
        else:
            (data) = self.detect_food_in_text_with_http_info(text, **kwargs)  
            return data
def detect_food_in_text ( self , text , ** kwargs ) : kwargs [ '_return_http_data_only' ] = True if kwargs . get ( 'async_req' ) : return self . detect_food_in_text_with_http_info ( text , ** kwargs ) else : ( data ) = self . detect_food_in_text_with_http_info ( text , ** kwargs ) return data
Detect Food in Text  # noqa: E501
Take any text and find all mentions of food contained within it.
Detect Food in Text # noqa : E501 Take any text and find all mentions of food contained within it .
# noqa: E501 """Detect Food in Text  # noqa: E501

        Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.  # noqa: E501
        This method makes a synchronous HTTP request by default. To make an
        asynchronous HTTP request, please pass async_req=True
        >>> thread = api.detect_food_in_text(text, async_req=True)
        >>> result = thread.get()

        :param async_req bool
        :param str text: The text in which food items, such as dish names and ingredients, should be detected in. (required)
        :return: object
                 If the method is called asynchronously,
                 returns the request thread.
        """ # noqa: E501 # noqa: E501
self
text