Merge pull request #21 from seankross/dev

Ari 0.3.5

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: ari
 Type: Package
 Title: Automated R Instructor
-Version: 0.3.3
+Version: 0.3.5
 Authors@R: c(
     person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre")),
     person("John", "Muschelli", role = "ctb")
@@ -16,7 +16,7 @@ SystemRequirements: ffmpeg (>= 3.2.4)
 Depends:
     R (>= 3.1.0)
 Imports:
-    text2speech (>= 0.2.4),
+    text2speech (>= 0.2.8),
     tuneR,
     webshot,
     purrr,
@@ -30,13 +30,11 @@ Suggests:
     testthat,
     grDevices,
     xaringan,
-    aws.signature,
-    aws.polly,
     knitr
 License: MIT + file LICENSE
 URL: http://github.com/seankross/ari
 BugReports: http://github.com/seankross/ari/issues
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 6.1.1
+RoxygenNote: 7.0.2
 VignetteBuilder: knitr

NAMESPACE

@@ -36,6 +36,7 @@ importFrom(rvest,html_nodes)
 importFrom(rvest,html_text)
 importFrom(text2speech,tts)
 importFrom(text2speech,tts_auth)
+importFrom(text2speech,tts_default_voice)
 importFrom(tools,file_ext)
 importFrom(tools,file_path_sans_ext)
 importFrom(tuneR,Wave)

NEWS.md

@@ -1,3 +1,12 @@
+# ari 0.3.5
+
+- Removed `have_polly()`.
+
+# ari 0.3.4
+
+- Removed strict dependency on aws.polly and associated Cloudyr projects because
+they have been orphaned.
+
 # ari 0.3.3
 
 - Added vignette for using via a Docker image.

R/ari_narrate.R

@@ -16,7 +16,8 @@
 #' \code{\link[text2speech]{tts_voices}} for more information 
 #' about what voices are available.
 #' @param service speech synthesis service to use,
-#' passed to \code{\link[text2speech]{tts}}.
+#' passed to \code{\link[text2speech]{tts}}. 
+#' Either \code{"amazon"} or \code{"google"}.
 #' @param capture_method Either \code{"vectorized"} or \code{"iterative"}.
 #' The vectorized mode is faster though it can cause screens to repeat. If
 #' making a video from an \code{\link[rmarkdown]{ioslides_presentation}}
@@ -52,7 +53,7 @@
 #' }
 ari_narrate <- function(script, slides, 
                         output = tempfile(fileext = ".mp4"),
-                        voice = "Joanna",
+                        voice =  text2speech::tts_default_voice(service = service),
                         service = "amazon",
                         capture_method = c("vectorized", "iterative"),
                         subtitles = FALSE, ...,

R/ari_spin.R

@@ -1,8 +1,7 @@
 #' Create a video from images and text
 #' 
 #' Given equal length vectors of paths to images (preferably \code{.jpg}s
-#' or \code{.png}s) and strings which will be
-#' \code{\link[aws.polly]{synthesize}}d by
+#' or \code{.png}s) and strings which will be synthesized by
 #' \href{https://aws.amazon.com/polly/}{Amazon Polly} or 
 #' any other synthesizer available in
 #' \code{\link[text2speech]{tts}}, this function creates an
@@ -15,7 +14,7 @@
 #' narration. You can find a guide for accessing AWS from R
 #' \href{http://seankross.com/2017/05/02/Access-Amazon-Web-Services-in-R.html}{here}.
 #' For more information about how R connects
-#' to Amazon Polly see the \code{\link[aws.polly]{aws.polly}} documentation 
+#' to Amazon Polly see the \code{aws.polly]} documentation 
 #' \href{https://github.com/cloudyr/aws.polly}{here}.
 #' 
 #' @param images A vector of paths to images.
@@ -25,7 +24,8 @@
 #' \code{\link[text2speech]{tts_voices}} for more information 
 #' about what voices are available.
 #' @param service speech synthesis service to use,
-#' passed to \code{\link[text2speech]{tts}}
+#' passed to \code{\link[text2speech]{tts}}.
+#' Either \code{"amazon"} or \code{"google"}.
 #' @param subtitles Should a \code{.srt} file be created with subtitles? The
 #' default value is \code{FALSE}. If \code{TRUE} then a file with the same name
 #' as the \code{output} argument will be created, but with the file extension
@@ -34,7 +34,7 @@
 #' 
 #' @return The output from \code{\link{ari_stitch}}
 #' 
-#' @importFrom text2speech tts_auth tts
+#' @importFrom text2speech tts_auth tts tts_default_voice
 #' @importFrom tuneR bind Wave
 #' @importFrom purrr map reduce
 #' @importFrom progress progress_bar
@@ -54,7 +54,7 @@
 ari_spin <- function(
   images, paragraphs, 
   output = tempfile(fileext = ".mp4"),
-  voice = "Joanna",
+  voice = text2speech::tts_default_voice(service = service),
   service = "amazon",
   subtitles = FALSE,
   ...){
@@ -135,4 +135,4 @@ ari_spin <- function(
   attr(res, "voice") = voice
   attr(res, "service") = service
   return(res)
-}
+}

R/ari_talk.R

@@ -8,7 +8,7 @@
 #' about what voices are available.
 #' @param service speech synthesis service to use,
 #' passed to \code{\link[text2speech]{tts}}
-#' 
+#' Either \code{"amazon"} or \code{"google"}.
 #' @return A \code{Wave} output object, with the attribute \code{outfile}
 #' of the output file name.
 #' @importFrom text2speech tts_auth tts
@@ -17,7 +17,7 @@
 #' @export
 ari_talk <- function(paragraphs, 
                      output = tempfile(fileext = ".wav"),
-                     voice = "Joanna",
+                     voice = text2speech::tts_default_voice(service = service),
                      service = "amazon") {
   auth = text2speech::tts_auth(service = service)
   if (!auth) {

README.md

@@ -48,9 +48,9 @@ to put narration right in your `.Rmd` file (see
 `file.show(ari_example("ari_comments.Rmd"))`). Make sure to knit your `.Rmd`
 file into the HTML slides you want to be turned into a video.
 
-Once you've finished your script and slides install the
-[`aws.polly`](https://github.com/cloudyr/aws.polly) package. You can find a
-guide for quickly setting up R to use Amazon Web Services
+Once you have finished your script and slides install the
+`aws.polly` package. You can find a guide for quickly 
+setting up R to use Amazon Web Services
 [here](http://seankross.com/2017/05/02/Access-Amazon-Web-Services-in-R.html).
 Run `aws.polly::list_voices()` to make sure your keys are working (this
 function should return a data frame). Once you've set up your access keys you

cran-comments.md

@@ -8,4 +8,6 @@
 
 ## R CMD check results
 
-0 errors | 0 warnings | 0 notes
+0 errors | 0 warnings | 1 note
+
+* New submission, Package was archived on CRAN