Tensorflow related error when deploying shiny app on shinyapps.io

I am trying to deploy shiny app, that uses reticulate and keras packages. I do not have any problem to run it locally, but real troubles appear, when I try to deploy it to shinyapps/io. My app.r file is as follows:

virtualenv_dir = Sys.getenv("VIRTUALENV_NAME")
python_path = Sys.getenv("PYTHON_PATH")
reticulate::virtualenv_create(envname = virtualenv_dir, python = python_path)
reticulate::virtualenv_install(virtualenv_dir, packages = c("numpy", "h5py", "scipy", "scikit-image", "pyyaml", "pillow"), ignore_installed = TRUE)
reticulate::use_virtualenv(virtualenv = virtualenv_dir)


np <- import("numpy", convert=FALSE)
ndi <- import("scipy.ndimage", convert=FALSE)
segment <- import("skimage.segmentation", convert=FALSE)
feature <- import("skimage.feature", convert=FALSE)

model = load_model_hdf5("model_v02122020.h5")

ui <- 
            fileInput("upload", "Choose a file", accept = c('image/png', 'image/jpeg')),
            actionButton('click', 'Start')
                tabPanel("Input image", plotOutput("InputImagePlot", height="100%")),
                tabPanel("Output image", plotOutput("OutputImagePlot", height="100%")),
server <- 
function(input, output, session) {

    observeEvent(input$click, {
## some code for image processing
shinyApp(ui = ui, server = server)

My .Rprofile file is in accordance with this source: https://github.com/ranikay/shiny-reticulate-app/blob/master/.Rprofile).

The deployment process seems to run completely according to R log. The error I get from the bottom of the log:

Error in value[[3L]]: Installation of TensorFlow not found.
Python environments searched for 'tensorflow' package:
You can install TensorFlow using the install_tensorflow() function.
Calls: local ... tryCatch -> tryCatchList -> tryCatchOne ->
Execution halted

When I try to include tensorflow into the list of packages required to be installed into my virtualenvironment I get the following error message:

Downloading tensorflow-2.3.1-cp35-cp35m-manylinux2010_x86_64.whl (320.4 MB)
Collecting tensorflow
Calls: local ... tryCatch -> tryCatchList -> tryCatchOne ->
Error in value[[3L]]:
Error installing package(s): 'numpy', 'h5py', 'scipy', 'scikit-image', 'pyyaml', 'pillow', 'tensorflow'
Execution halted
Out of memory!

As far as I understand, shinyapps/io pushes me to install tensorflow package into virtualenvironment. But tensorflow cannot be installed, because it is too heavy. However, I guess, tensorflow should be in the list of available packages, and can be called with library() or request() commands, isn't it so?. But how to force using it?

Try the following at the top of your app.R:


reticulate::virtualenv_create("myenv", python="/usr/bin/python3")
reticulate::use_virtualenv("myenv", required=TRUE)

if (!is_keras_available()) {
  install_keras(method="virtualenv", envname="myenv")
  reticulate::use_virtualenv("myenv", required=TRUE)

and in your .Rprofile that you include with your application bundle:

Sys.setenv(RETICULATE_PYTHON = "/home/shiny/.virtualenvs/myenv/bin/python3")

You will also need to change your application to at least xlarge (available to Basic and higher plans) to have more memory.

@josh, thank you for fast reply. I tried yor suggestion, and I get the same error message, related obviously to memory availability:

Collecting tensorflow==2.2.0
Downloading tensorflow-2.2.0-cp35-cp35m-manylinux2010_x86_64.whl (516.2 MB)
Out of memory!
Error in value[3L] :
Error installing package(s): 'tensorflow==2.2.0', 'keras', 'tensorflow-hub', 'h5py', 'pyyaml==3.12', 'requests', 'Pillow', 'scipy'
Calls: local ... tryCatch -> tryCatchList -> tryCatchOne ->
Execution halted

Can you please let me know, where can I read about memory volume allocated for each sinyapps plan? On the website I can only see, that all plans from basic and higher have up to 8 GB of RAM, but I guess I need also more space on server hard drive, do I?

See Configuring your Application in the documentation.

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