cognizer | R package to call IBM Watson services | Cloud Functions library

 by   ColumbusCollaboratory R Version: Current License: Non-SPDX

kandi X-RAY | cognizer Summary

kandi X-RAY | cognizer Summary

cognizer is a R library typically used in Serverless, Cloud Functions applications. cognizer has no bugs, it has no vulnerabilities and it has low support. However cognizer has a Non-SPDX License. You can download it from GitHub.

R package to call IBM Watson services.
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              cognizer has a low active ecosystem.
              It has 120 star(s) with 42 fork(s). There are 32 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 8 have been closed. On average issues are closed in 43 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cognizer is current.

            kandi-Quality Quality

              cognizer has no bugs reported.

            kandi-Security Security

              cognizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              cognizer has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              cognizer releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            cognizer Key Features

            No Key Features are available at this moment for cognizer.

            cognizer Examples and Code Snippets

            No Code Snippets are available at this moment for cognizer.

            Community Discussions

            Trending Discussions on cognizer

            QUESTION

            Shiny Watson text to speech real time
            Asked 2017-Mar-16 at 23:42
            library(shiny)
            library(cognizer)
            
            
            #' the required api keys 
            username_TTS <-""
            password_TTS <- ""
            TEXT_TO_SPEECH_USERNAME_PASSWORD = paste(username_TTS,":",password_TTS,sep="")
            
            ui <- fluidPage(
            
               # Application title
               titlePanel("Just some text to speech example"),
            
               fluidRow(textInput("caption","Enter the caption"),actionButton("gobutton","submit")),
               fluidRow(verbatimTextOutput("answer"), width = 4),
            
              # plays from www/  
              fluidRow(tags$audio(src = "1.wav", type = "audio/wav", controls = NA), helpText("Key in any sentences, wait and press F5. Then you can play your audio"))
            
            
              )
            
            
            
            server <- function(input, output) {
            
            textfunction <- eventReactive(input$gobutton, {
                thetext <- input$caption
                text_audio(thetext, TEXT_TO_SPEECH_USERNAME_PASSWORD, directory = 'www', accept = "audio/wav")
                "Done!"
            
                    })
            
            
            output$answer <- renderText({textfunction()})
            
            
            }
            
            # Run the application 
            shinyApp(ui = ui, server = server)
            
            ...

            ANSWER

            Answered 2017-Mar-16 at 23:42

            The problem is related to Shiny's caching of the audio file. A workaround, as described here, can help you:

            Rename the wav file after it is queried and pass it into a reactive UI component using renderUI() on the server side and uiOutput() in the UI.

            Please see a working example below:

            Source https://stackoverflow.com/questions/42837855

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install cognizer

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/ColumbusCollaboratory/cognizer.git

          • CLI

            gh repo clone ColumbusCollaboratory/cognizer

          • sshUrl

            git@github.com:ColumbusCollaboratory/cognizer.git

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