Wolfram Research

Function Repository Resource:

BirdSay

Source Notebook

Have a bird say an expression

Contributed by: Richard Hennigan (Wolfram Research)

ResourceFunction["BirdSay"][thing]

ask a cool bird to say thing.

ResourceFunction["BirdSay"][thing,pos]

positions the bird according to the position specified by pos.

Details and Options

This is a silly example of using 9-patch images for the Appearance option in Panel. The same can be done for many other formatting constructs such as Button, Framed, Notebook, etc.

Examples

Basic Examples

Have a bird say your output:

In[1]:=
ResourceFunction["BirdSay"][Plot[Sin[x], {x, -5, 5}]]
Out[1]=

Position the bird on the right:

In[2]:=
ResourceFunction["BirdSay"]["I'm the right kind of bird.", Right]
Out[2]=

Birds can say words:

In[3]:=
ResourceFunction["BirdSay"][WordCloud[WikipediaData["words"]]]
Out[3]=

How neat is that?

In[4]:=
ResourceFunction["BirdSay"]["That's pretty neat!"]
Out[4]=

Scope

Position at the top-left:

In[5]:=
ResourceFunction["BirdSay"]["top left", {Top, Left}]
Out[5]=

Position at the left-top:

In[6]:=
ResourceFunction["BirdSay"]["left top", {Left, Top}]
Out[6]=

See all valid positions:

In[7]:=
positions = Join[Tuples[#], Tuples[Reverse[#]]] &[{{Left, Right}, {Top, Bottom}}]
Out[7]=
In[8]:=
ResourceFunction["BirdSay"][Row[#], #] & /@ positions
Out[8]=

This bird is a nerd:

In[9]:=
ResourceFunction["BirdSay"][
 SystemModel["Modelica.Electrical.Analog.Examples.IdealTriacCircuit"]]
Out[9]=

That’s one smart bird:

In[10]:=
ResourceFunction["BirdSay"][
 FindEquationalProof[
   ForAll[{a, b}, or[not[or[not[a], b]], not[or[not[a], not[b]]]] == a], {ForAll[{a, b}, and[a, b] == and[b, a]], ForAll[{a, b}, or[a, b] == or[b, a]], ForAll[{a, b}, and[a, or[b, not[b]]] == a], ForAll[{a, b}, or[a, and[b, not[b]]] == a], ForAll[{a, b, c}, and[a, or[b, c]] == or[and[a, b], and[a, c]]], ForAll[{a, b, c}, or[a, and[b, c]] == and[or[a, b], or[a, c]]]}][
  "ProofGraph"]]
Out[10]=

Have you heard?

In[11]:=
Row[ResourceFunction["BirdSay"] /@ TextWords["The bird is the word"]]
Out[11]=

Applications

Create a notebook that prints messages in a really cool way:

In[12]:=
birdBox = Module[{expr},
   With[{b = ToBoxes[ResourceFunction["BirdSay"][expr]]}, Replace[CurrentValue[{StyleDefinitions, "MessageTemplate", "TemplateBoxOptionsDisplayFunction"}], HoldPattern[e_ &] :> Function @@ {b /. SymbolName[expr] -> e}]]
   ];

nb = CreateDocument[{ExpressionCell[Defer[1/0], "Input"], ExpressionCell[Defer[First[x]], "Input"], ExpressionCell[Defer[ResourceFunction["BirdSay"]["Neat!"]], "Input"]},
   StyleDefinitions -> Notebook[{Cell[StyleData["MessageTemplate"], "TemplateBoxOptionsDisplayFunction" -> birdBox]}]];

NotebookEvaluate[nb, InsertResults -> True]
Out[13]=

Properties and Relations

BirdSay can say a WolfieSay:

In[14]:=
(* Evaluate this cell to get the example input *) CloudGet["https://www.wolframcloud.com/obj/c4c033e1-9e0a-4bf6-a752-c5d98a867615"]
Out[14]=

Similarly, WolfieSay can say a BirdSay:

In[15]:=
(* Evaluate this cell to get the example input *) CloudGet["https://www.wolframcloud.com/obj/4468360a-c1a3-4d0a-a9a0-c92f9b82f167"]
Out[15]=

The output of BirdSay is an Interpretation which can be copied and pasted:

In[16]:=
ResourceFunction["BirdSay"][a + b]
Out[16]=

Copy and paste the output from above into another expression:

In[17]:=
(* Evaluate this cell to get the example input *) CloudGet["https://www.wolframcloud.com/obj/5c91973a-e247-463c-a0c5-94679c80b85e"]
Out[17]=
In[18]:=
ResourceFunction["BirdSay"][%]
Out[18]=

Say BirdSay:

In[19]:=
AudioPlay[SpeechSynthesize["BirdSay"]]
Out[19]=

BirdSay what was just said:

In[20]:=
ResourceFunction["BirdSay"][%]
Out[20]=

Possible Issues

It’s very tempting to BirdSay everything:

In[21]:=
$Post = ResourceFunction["BirdSay"]
Out[21]=
In[22]:=
1 + 1
Out[22]=
In[23]:=
$Post =.

Neat Examples

Have a bird say a bird:

In[24]:=
ResourceFunction["BirdSay"][\!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJwkumd0G2earTvr3D/35/117lkz021LJJFzFaqQKiEVUMg5Z4AgwJxzzlGi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"], {{0, 133}, {100, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->{66.66666666666325, Automatic},
ImageSizeRaw->{100, 133},
PlotRange->{{0, 100}, {0, 133}}]\)]
Out[24]=

Have a bird say a random bird:

In[25]:=
ResourceFunction["BirdSay"][
 RandomChoice[WikipediaData["Bird", "ImageList"]]]
Out[25]=

Have a bird say a bird saying what a bird says:

In[26]:=
Nest[ResourceFunction["BirdSay"][
   ImageResize[
    ImageCrop[ImageRotate[Rasterize[#], -Pi/26, Background -> White]],
     Scaled[3/4]]] &, "", 20]
Out[26]=

Animate your BirdSay:

In[27]:=
ResourceFunction["BirdSay"][
 ResourceFunction["SimpleListAnimate"][{\!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHtQVOcVX/bFvtgXyy7Lc98LC7vCLiCWxAq2ItZooskk6nTGF77CI4Kg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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJzFWQtQVOcV3jfL7sKCLOLuwr547XuX5eX7BSYxUWM12kys9UkNk6oNJKJM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"], {{0, 36}, {
        50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJzNWHtMm9cV9xu/8BMDfvAwNuBgbPMyjzZJASXVoiZZkwLZVGhCEhJawhsC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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJzlWXtQVOcVv/vehV0eu7Arj1VkXyz7EhYEIlEhaiNJJ61ifNYHiopR0oAR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"], {{0, 36}, {50, 0}}, {
        0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJzlWHtQU9kZDyRAAkEIIQlJAHklJCHhKb6q9QG+tla3MKu71Vql+ERQAUUU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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHtUE2cWn2QmCSBvkvAMJBBCgCSYIFBf22KtitYH+EDdahWXrVhFUaxU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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHlwE9cZl1anD0mWbVk+JN+WrcOHJJtrOHyVKVCKCYQOoZiYYNyWYBvs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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHtsU9cdvravn7Fjp0lMcEJiJwY7iZ1AXoRHIJS0FEYha0Z5NpA2ifMi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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHlwE+cVX612dViWLMuWjIUEMrJkLFmSLcvGlCPhKOAOwRMYwlkKxjY+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"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\), \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztWHtsU+cV9+P6lYfjPBzHdmLHjhPHiePYzpOEwChMCrRjgryghbxI4jxt
8gKSlBboKgi0ULR2a8u0Vyek9Z9J/LWH2klbNHUvCU1at3YTndZVopu6rWrH
IL6+Z+d8vjeYtAs2TUn/6Ced3Hu/++V+53fO7zw+O/oje4cUMplsWot/9vYd
3TY11TfXZsCHjvD0SCg8OLAzPDMYGpxq7FfipAsliMLJPh+fj9tDjoMuq0Wc
/0wPeXwQpRV3Wcrhurut2YhBNlZKDzqdTmY05mVqVKoMTqHIUHFcBt1n6fUZ
uTk5iaGr/OinNmYk2tWYl2fweSuGa2uCP3RXeK7LOO46Tr+Li96VK7nreQWm
68GawOu1Qf85q9XsFP9NsdFcEzkky8rSc4Fq31F7cfHbqDvgFOSpNeDNNYIv
Lx+q8oxMSvRZgKDZ+wKL+d9+X9W8VqsVP7VhWBgGV4mz1uetfE2m4kAjl8OE
PxD9eWcX/+HIqAATE3cIPz4uvNXfH1ts2RLVcyrgtFpoamx8OSMjg3xKct+w
iHZT0qXSU77f6XTcxGdoLy2L/m1oSIDpaYCpKYCxUYDRuAgjI8APD+P9CCAe
9v7Nvj6h3lRwS6fVQU0w8KxaraZv3694YRhoz6aGhidycnMBJ+Br23fwMDsL
cw0NUJSph1NNmwEORyCG+gsiFpicZBj+g3MwPg60/o/dPcDJ5MsYV+AuK31I
tNP9wMIRhpqAfzFTrwejVht9tb2D+eAG2tuckcm4r+XU8FZvL9OXRwz8+ASc
2tQEniwD5Ks0sNlihd88cgBe3vUgYD7j0RZCZYXn93q9XiO7XWs+lcFiGrlU
XeWdJQzWtPTlN3p7BTh8mHHmFupbiHGMejEsS23tAOEw0PvDwRo2ZzSbwF3h
AplSCUZdGozU1rF5FB7zMSBHt4t7fSo+USgULKYxHtppv2y1Jo4hEoFlxMD4
gzr3equYXpkaHfyltw/o/Rvd3Yx7Pp8Hzr+4ABe+tQBT8/0Mi8digWNNzRA0
FURVnEqo8JSfWLHZOg+pPpS6XNWlJSU38Db2SlubQHyPstgdjcfA2BhE8Xrl
S7vh11372DNMTcK5LVsZtomZHjh7aRaOPz0GF7/zKDQ014AK52OI/2ftHVFa
4yy2n5PFObWuOKTcZDAYtHU1wd/RXhe3foGneFgODa/kozsEeUR8Wg6FgNYd
qvQy2z9+dgKefG4STj4TRjxHoH+4g+G7sns3/LW3l+EoKyu9olQySq1rz0I8
JSgtTZueIV2+XOKKUs6U/LBayC88ciwmCvms1VYMcrUaTj4djuO4GIEzL8zA
9MIhhuN8yxbCK+Rj3Sy02z8ottts4t7rgkWKNapz+aZ83qjV8X8fHBIEzEFM
x4/zRYKweoGY95e5gWrkyaciDMcpxHEaccweH2Q4ZoJBgPl5GPdVR+XYC6Df
58T914tbyvT0NGVd0P9L2u9syxbk0//3xWph65BXR1hOksOxkyE4/fw0+iMM
Z56fgZnjAwzHmebmeC052B3DhCiUuEqu6fWZGtk69CqSLzzl5e05BgPlG/6V
vXtBwPzDJ+GLFRzIq8s7dzF9+4ba4dw3jsCJCxOw+OIshMIPA2oJL7W2srxG
cdXpKuWxyEK119sj6vFJfMLqUFp6Gudxu6/ivYDC/xRxQAo4YnSdGId3Dh3C
vCSHYH01nP/mPDyG+erCtxdg2xebGb4/HDzI6jzl7V917eNpvypv5ZJGQy65
93iXbOB2l+3ONmSzGkX5/yd79qSEg2EZifvkgcIiUGk08PhiGBYvzcDCV8ZA
m6YDDDyIRcT+hdWgCLgzswSzzXYL49Il6nOvWJQKhVyGOfCyHPl6tKGR5UTM
tyCskas+NtYJM+r5I7QBfcPvr4CvX34SqnzlrDYudXau2CYeT1PQU14hKBBz
gTGvQcSRcm2XztQWc0G2zeF4z6LRwvtj40Im5sQdNjuzLZ8Cjtt5a5L6eYal
pSneiwxgXaE8IH0vKua30epq4rGgVihqJLumigP7DxVdawP+kEqngy5XGU85
sQ/3RIhwracHBORyKtwSxFi5ifm6GnlEGHLw22/390MsIYdLOLBuCpR/cw1Z
9ffiD2l9odXqcNjt/8Db2G/3PxwT0JavHzjAcmcn1gKYmmY9VSo+YbpiHF/F
HheNBcfq6pkvEjlK8UE5y5+TK+QXFvIed1lV3LbJ45D6wOJiux198Wey2enm
zTHiEesv0E6RQJDZ8vuYR0mHWzSfKr/wey9s3wFvYo4iv0q+YHGOz9d6emMq
uVwoL3dfTU9PT/y9KBk/MAwWi9lWJ2I4WFnJs1ig/oJ0QPkvcqDWVIB9uRJe
bW9fsSefeFZKxi9UK6iHXF1r0FbzdfVR8lddIPBYom7JYsC+P1BeWvonwvCI
p4Jn9U7k9sr+ZC/kNJ33aN13qX7R+ZX0EnkhJBE3sVW46V5AXP8MhYRslVow
mc3vmYxGk6hfMjmXYShxOreWOBz/It2QtzxxNCbxNXF/shlynLA0mC0Myy6H
E5a6uiBK51Sxz02Fa4m+ONW4KSqTK6Cpof6rKfiCrSlzudpsRYWsPjy1ZStP
31ttr49wHP1CuefRxk2gRI7R/1rwPOvPz4cTOMfOh0nmM+nc8sHIiGDUaAWz
xfo+hqgzDmNtXxBOBfb49XU1ERPujUEUe6l1Z0zi+924vtLrIuZ3BgYIP7QW
OxjfDngqGI5k+uGVOonrf/DgQ8yW5WWll0Q118xRUm71VXm7CwpMkK7kePY7
QYp1WpB8Q3yiGCGh33PoOVVOof1ClV5eqdMJ3krPHlJTsQanRAwK9Ft1YaH1
Ji7klzo6Y2SPm0NDK2efVIT0oPxLuVmK82T/lxflxvi44EBf5uNZ3VZU5BR1
XYtTCo7jZAG/78fkw+/t3BWFubm4HSlGP7FEVvrvpCQSZueO1/btpx4XnHb7
L7Bm6GRr/K4o4bNaLH5DVtaH6LfYdrsdthXZ4IENkm1FRbDDXgzunFz6rQSQ
571S/K7hC/ZOrVa3q5Qc5hkFs8FnRPh0XRpYrZaOBP7fMf4HUXn9sw==
"], {{0, 36}, {50, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
       "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{50, 36},
PlotRange->{{0, 50}, {0, 36}}]\)}, 30]]
Out[27]=

Act out a play:

In[28]:=
script = StringTake[ResourceData["Hamlet"], {828, 949}]
Out[28]=
In[29]:=
Grid[List /@ StringCases[
   StringReplace[script, "Bernardo" :> "Birdnardo"], {"Ber.\n" ~~ Shortest[line__] ~~ "\n" :> Item[ResourceFunction["BirdSay"][line], Alignment -> Left], "Fran.\n" ~~ Shortest[line__] ~~ "\n" :> Item[ResourceFunction["WolfieSay"][line, Right], Alignment -> Right]}]]
Out[29]=

Resource History

See Also

License Information