code: def make_model(self, add_indra_json=True):
          
          self.add_indra_json = add_indra_json
          for stmt in self.statements:
              if isinstance(stmt, Modification):
                  self._add_modification(stmt)
              if isinstance(stmt, SelfModification):
                  self._add_self_modification(stmt)
              elif isinstance(stmt, RegulateActivity) or \
                  isinstance(stmt, RegulateAmount):
                  self._add_regulation(stmt)
              elif isinstance(stmt, Complex):
                  self._add_complex(stmt)
              elif isinstance(stmt, Gef):
                  self._add_gef(stmt)
              elif isinstance(stmt, Gap):
                  self._add_gap(stmt)
              elif isinstance(stmt, Influence):
                  self._add_influence(stmt)
          network_description = ''
          self.cx['networkAttributes'].append({'n': 'name',
                                               'v': self.network_name})
          self.cx['networkAttributes'].append({'n': 'description',
                                               'v': network_description})
          cx_str = self.print_cx()
          return cx_str
docs: Assemble the CX network from the collected INDRA Statements.
  
          This method assembles a CX network from the set of INDRA Statements.
          The assembled network is set as the assembler's cx argument.
  
          Parameters
          ----------
          add_indra_json : Optional[bool]
              If True, the INDRA Statement JSON annotation is added to each
              edge in the network. Default: True
  
          Returns
          -------
          cx_str : str
              The json serialized CX model.