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box::use( |
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utils[head, read.csv2], |
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shiny[div, moduleServer, downloadLink, downloadHandler, sliderInput, tagList, req, reactiveVal, actionButton, fileInput, observeEvent, h1, h3, p, NS, selectizeInput, HTML, tags], |
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bslib[page_fillable, page_sidebar, nav_panel, page_navbar, layout_columns, card, card_header, card_body, layout_column_wrap, value_box, input_dark_mode, nav_item], |
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shinyWidgets[pickerInput], |
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waiter[useWaiter, autoWaiter, waiter_show, spin_fading_circles, waiter_hide, waiterShowOnLoad, waiter_on_busy], |
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spacyr[spacy_install], |
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data.table[fread, fwrite], |
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) |
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|
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box::use( |
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view / mod_search_books, |
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view / mod_recommend_books, |
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view / mod_data_analysis |
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) |
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|
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ui <- function(id) { |
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ns <- NS(id) |
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page_navbar( |
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title = "Book Recommender", |
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sidebar = my_sidebar(ns), |
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fillable = FALSE, |
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nav_panel( |
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useWaiter(), |
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waiter_on_busy(html = tagList(div(class = "main-waiter", h3("Give me a second to read all those books..."), spin_fading_circles()))), |
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|
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title = "Recommendations", |
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tags$main( |
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class = "main-container", |
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tags$section( |
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h1("Discover books you will love!", class = "align-text-center"), |
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div(class = "text-main align-text-center", p(" Enter books you like and the site will analyse the contents of the books to provide book recommendations and suggestions for what to read next.")), |
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mod_search_books$ui(ns("search_books")), |
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mod_recommend_books$ui(ns("recommend_books")) |
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) |
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) |
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), |
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nav_panel( |
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"Data analysis", |
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mod_data_analysis$ui(ns("data_analysis")) |
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), |
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|
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|
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) |
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} |
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|
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server <- function(id) { |
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moduleServer(id, function(input, output, session) { |
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gargoyle::init("start_recommend_event") |
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|
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data <- load_data("data/dataset_goodreads_filtered.csv") |
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item_item_df <- fread("data/item_to_item_similarity_dataframe_full.csv") |
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user_ratings_tab <- readRDS("data/ratings_filtered.rds") |
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corp_dfm <- readRDS("data/ref_corp_tfidf_new.rds") |
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SVD_model <- readRDS("data/svdf.rds") |
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|
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|
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selected_books_ids <- mod_search_books$server("search_books", data$title, data$image_url, data$book_id) |
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mod_data_analysis$server("data_analysis") |
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|
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output$downloadData <- downloadHandler( |
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filename = function() { |
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"system_recommendations_log.csv" |
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}, |
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content = function(file) { |
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data <- fread("system_recommendations_log.csv") |
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fwrite(data, file) |
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} |
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) |
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|
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observeEvent(input$method, { |
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mod_recommend_books$server( |
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"recommend_books", |
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user_ratings_tab, |
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SVD_model, |
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corp_dfm, |
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item_item_df, |
|
selected_books_ids, |
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data, |
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input$how_many_recommends_slider, |
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input$simil_metrics, |
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input$method |
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) |
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}) |
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|
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observeEvent(input$how_many_recommends_slider, { |
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mod_recommend_books$server( |
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"recommend_books", |
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user_ratings_tab, |
|
SVD_model, |
|
corp_dfm, |
|
item_item_df, |
|
selected_books_ids, |
|
data, |
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input$how_many_recommends_slider, |
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input$simil_metrics, |
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input$method |
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) |
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gargoyle::trigger("start_recommend_event") |
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}) |
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}) |
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} |
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|
|
|
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load_data <- function(path) { |
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data <- data.table::fread(path) |
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data[, genres := strsplit(genre, split = ",")] |
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data[, average_rating := as.numeric(average_rating)] |
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data$genre <- NULL |
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data$similar_books <- NULL |
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return(data) |
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} |
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|
|
|
|
my_sidebar <- function(ns) { |
|
tagList( |
|
sliderInput(ns("how_many_recommends_slider"), "Number of books to recommend", 1, 100, 10, step = 1), |
|
pickerInput( |
|
inputId = ns("method"), |
|
label = "recommendation method", |
|
selected = "ALL", |
|
choices = c("SVD", "TFIDF", "item-item", "ALL") |
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), |
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downloadLink(ns("downloadData"), "Download logs") |
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) |
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} |
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|
