![]() Will not be functional under Wayland.Update: The solid, unassuming Dig Dog is kind of an ideal " Spelunky on the go" type of video game, and we enjoyed happening upon it first during the 2017 Fantastic Arcade in Austin, Texas. Input action classes, application contexts and the Window class Please note that Dragonfly is only fully functional in an X11 session on You mayĪlso need to manually set the XDG_SESSION_TYPE environment variable to If you are installing this on Linux, you will also need to install the Replace dragonfly with dragonfly2 or remove lines like this Pkg_resources.require("dragonfly >= 0.6.5"), you will need to either If you use any grammar modules that include something like Upload releases to, but everything can still be imported usingĭragonfly. The distribution name has been changed to dragonfly2 in order to To learn more about these, please take a look atĭragonfly is a Python package. The example aboves don’t show any of Dragonfly’s exciting features, such asĭynamic speech elements. For example, saying save or save file willĬause the control and S keys to be pressed. load ()ĭirectory or Natlink user directory, load it, open a Notepad window and then context = AppContext ( executable = "notepad" ) grammar = Grammar ( "Notepad example", context = context ) # Add the command rule to the grammar and load it. extras = # Create the grammar and the context under which it'll be active. ![]() mapping = # Define the extras list of Dragonfly elements which are available # to be used in mapping specs and actions. class NotepadRule ( MappingRule ): # Define the commands and the actions they execute. To be used when Notepad is the foreground window: from dragonfly import ( Grammar, AppContext, MappingRule, Dictation, Key, Text ) # Voice command rule combining spoken forms and action execution. The following example is a simple grammar If you’re not using Dragon, then it will be printed into the console window.Ī more common use of Dragonfly is the MappingRule class, which allowsĭefining multiple voice commands. will be printed in the Natlink messages window. If the speech recognition engine recognized the command, then To use this example, save it in a command module in your module loaderĭirectory or Natlink user directory, load it and then say do somethingĬomputer. add_rule ( ExampleRule ()) # Add the command rule to the grammar. grammar = Grammar ( "example grammar" ) # Create a grammar to contain the command rule. print ( "Voice command spoken." ) # Create a grammar which contains and loads the command rule. def _process_recognition ( self, node, extras ): # Callback when command is spoken. class ExampleRule ( CompoundRule ): spec = "do something computer" # Spoken form of command. This is done as follows: from dragonfly import Grammar, CompoundRule # Voice command rule combining spoken form and recognition processing.
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