(self, text, num_beams=4, no_repeat_ngram_size=2, num_return_sequences=1,
                    early_stopping=True)
return get_summary(self=self, text=text, num_beams=num_beams, no_repeat_ngram_size=no_repeat_ngram_size
                           , num_return_sequences=num_return_sequences, early_stopping=early_stopping)
Calls the body of the summarizer which is located in the nlp_queries.py file
        :param text: set of text that you want to summarize (str).
        :param max_summary_length: Max generated summary length (int).
        :param early_stopping: Sets early stopping (bool).
        :param num_return_sequences: Sets the number of likely possibilities to output (int).
        :param no_repeat_ngram_size: Sets the number of unrepeated consecutive n-grams (int).
        :param num_beams: Sets number of possibilities to explore in beam search (int).
        :return: a summary of text inputted in the text field.
Calls the body of the summarizer which is located in the nlp_queries.py file
        :param text: set of text that you want to summarize (str).
        :param max_summary_length: Max generated summary length (int).
        :param early_stopping: Sets early stopping (bool).
        :param num_return_sequences: Sets the number of likely possibilities to output (int).
        :param no_repeat_ngram_size: Sets the number of unrepeated consecutive n-grams (int).
        :param num_beams: Sets number of possibilities to explore in beam search (int).
        :return: a summary of text inputted in the text field.
Calls the body of the summarizer which is located in the nlp_queries . py file : param text : set of text that you want to summarize ( str ) . : param max_summary_length : Max generated summary length ( int ) . : param early_stopping : Sets early stopping ( bool ) . : param num_return_sequences : Sets the number of likely possibilities to output ( int ) . : param no_repeat_ngram_size : Sets the number of unrepeated consecutive n - grams ( int ) . : param num_beams : Sets number of possibilities to explore in beam search ( int ) . : return : a summary of text inputted in the text field .
def get_summary(self, text, num_beams=4, no_repeat_ngram_size=2, num_return_sequences=1,
                    early_stopping=True):
        '''
        Calls the body of the summarizer which is located in the nlp_queries.py file
        :param text: set of text that you want to summarize (str).
        :param max_summary_length: Max generated summary length (int).
        :param early_stopping: Sets early stopping (bool).
        :param num_return_sequences: Sets the number of likely possibilities to output (int).
        :param no_repeat_ngram_size: Sets the number of unrepeated consecutive n-grams (int).
        :param num_beams: Sets number of possibilities to explore in beam search (int).
        :return: a summary of text inputted in the text field.
        '''
        clearLog()
        return get_summary(self=self, text=text, num_beams=num_beams, no_repeat_ngram_size=no_repeat_ngram_size
                           , num_return_sequences=num_return_sequences, early_stopping=early_stopping)
def get_summary ( self , text , num_beams = 4 , no_repeat_ngram_size = 2 , num_return_sequences = 1 , early_stopping = True ) : clearLog ( ) return get_summary ( self = self , text = text , num_beams = num_beams , no_repeat_ngram_size = no_repeat_ngram_size , num_return_sequences = num_return_sequences , early_stopping = early_stopping )