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app.R
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app.R
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library(plotly)
library(tidytext)
library(wordcloud2)
library(spotifyr)
library(tidyverse)
library(httr)
library(rvest)
library(shiny)
library(shinydashboard)
library(shinyjs)
library(shinyalert)
library(jsonlite)
library(DT)
source("wordcloud_Functions.R")
source("artist_Functions.R")
source("get_rec.R")
source("Cor_test_genre.R")
source("song_search_functions.R")
get_token()
ui <- dashboardPage(
dashboardHeader(title = "Pacific Music App"),
dashboardSidebar(
useShinyjs(),
useShinyalert(),
tags$head(tags$style(HTML(".small-box {height: 70px;}"))),
sidebarMenu(id = "sidebarmenu",
menuItem("User Manual", tabName = "usermanual", icon = icon("book-open")),
menuItem("Musician", tabName = "cs_artist", icon = icon("headphones")),
conditionalPanel("input.sidebarmenu === 'cs_artist'",
# Input for Artist
textInput("cs_artist_name", label = "Musician", value = "Enter musician name"),
# Action button
actionButton("cs_get_artist", label = "Search", icon = icon("search")),
conditionalPanel("input.cs_get_artist > 0",
# Select box Artist(s)
uiOutput("cs_select_artist"),
uiOutput("cs_artist_img"),
br(),
uiOutput("cs_artist_info"),
uiOutput("cs_related_artists")
)
),
menuItem("Song Search", tabName = "vr_tracks", icon = icon("search")),
conditionalPanel("input.sidebarmenu === 'vr_tracks'",
# Categories
selectizeInput(
'vr_cats', 'Choose Categories to search from!', choices = select_categories, multiple = TRUE
)
),
menuItem("Lyrics", tabName = "sjj_lyrics", icon = icon("music")),
conditionalPanel("input.sidebarmenu === 'sjj_lyrics'",
textInput("sjj_artist", label = "Search artist", value = "The Beatles"),
actionButton("sjj_search", label = "Search"),
conditionalPanel(condition = "input.sjj_search > 0",
selectInput("sjj_select_artist", label = "Choose your artist", choices = c("The Beatles")),
actionButton("sjj_plot", label = "Explore!")),
br(),
conditionalPanel(condition = "input.sjj_search > 0",
htmlOutput("sjj_artist_image"))
),
menuItem("Big Five Personality Test", tabName = "ym_Dashboard", icon = icon("user-secret"))
)
),
dashboardBody(
tabItems(
tabItem(tabName = "usermanual",
h1("Welcome to the Pacific Music App", align = "center"),
HTML('<p>Pacific Music App provides music lovers unique gadgets to search for musicians and their musics, analyze lyrics and get personal music recommendations</p>'),
h2("How to use the App", align = "center"),
fluidRow(
# Musician tab
column(6,
h3("Musician", align = "center"),
p("Users can search for artists and their musics."),
tags$ol(
tags$li("Go to 'Musician' tab, input an musician name and click `Search`"),
tags$li("Select a musician if more than one are relevant"),
tags$li("Select from the list of albums"),
tags$li("Select from the list of tracks of the selected album"),
tags$li("We provide 30 seconds preview for some songs. If it's available, music preview panel will appear at the bottom")),
p("Users can search from all the tracks of the selected musician under `Tracks` section."),
HTML('<p>We also provide an analysis of the features of the selected album or tracks. Refer to <a href="https://developer.spotify.com/documentation/web-api/reference/tracks/get-several-audio-features/">here</a> for details of each metrics.</p>'),
),
# Song Search tab
column(6,
h3("Song Search", align = "center"),
p("Users can search for songs by defining the features they are looking for. You can look for songs you can dance to, or songs with acoustic instruments, or happy feeling high energy songs, or a mix of everything! The app looks for songs which can best satisfy your needs."),
tags$ol(
tags$li("In the song search tab, choose your categories/genres you want to look for(default is everything)."),
tags$li("Select the song features you want."),
tags$li("The app displays 10 songs that it thinks are the best for you."),
tags$li("Clicking on the link will take you to the spotify page of the song. You need a spotify account to play it."))
)),
fluidRow(
# Lyrics tab
column(6,
h3("Lyrics", align = "center"),
p("Users can search for artists and their lyrics analysis."),
tags$ol(
tags$li("Go to 'Lyrics' tab, input an artist name and click `Search`"),
tags$li("Select your interested musician with the help of singer image"),
tags$li("Wordcloud tab shows the wordcloud and word count table for top 10 hits of the artist."),
tags$li("Sentiment analysis tab shows the word counting plot for positive and negative words."))
),
# Personality test tab
column(6,
h3("Big Five Personality Test", align = "center"),
p("Users can take the Big Five Personality Test and get recommended genres and songs based on the test results."),
tags$ol(
tags$li("Go to 'Big Five Personality Test' tab."),
tags$li("Choose age group first."),
tags$li("Answer all the questions. (Higher number means the stronger level of agreement.)"),
tags$li("Click the `SEE RESULTS` button."),
tags$li("We analyze the best match genres and then recommend songs based on the top three genres.")),
p('The Big Five Personality Test is by far the most scientifically validated and reliable psychological model to measure personality.'),
p("We use Spearman’s correlation data between music genres and personality traits over age groups (Ferwerda, 2017) to
find the best match genres and then use Spotify's API to get recommended songs.")
))
),
tabItem(tabName = "cs_artist",
fluidRow(id = "cs_fluidrow",
tabBox(id = "cs_albums_tracks", title = tagList(icon("guitar"), ""),
width = 7,
tabPanel(#title = tagList(icon("compact-disc"), "Albums"),
title = "Albums",
uiOutput("cs_select_album"),
uiOutput("cs_album_img"),
br(),
uiOutput("cs_album_info"),
uiOutput("cs_tracks"),
uiOutput("cs_track_info"),
uiOutput("cs_track_preview")),
tabPanel(#title = tagList(icon("book"), "Tracks"),
title = "Tracks",
DT::dataTableOutput("cs_tracks_table"))
),
box(id = "cs_box", width = 5,
lapply(1:num_hist, function(i) {
plotlyOutput(paste0('h', i), width = "100%", height = "150px")
})
)
)
),
tabItem(tabName = "sjj_lyrics",
tabsetPanel(
tabPanel("WORD CLOUD",
br(),
box(width = 8,
wordcloud2Output("sjj_plot")
),
box(width = 4,
DT::dataTableOutput("sjj_my")
)
),
tabPanel("SENTIMENT ANALYSIS",
br(),
box(
width = 8,
plotOutput("sjj_barplot")
),
box(
width = 4,
DT::dataTableOutput("sjj_sent_table")
)
)
)
),
tabItem(tabName = "ym_Dashboard",
fluidRow(
box(
width = 3, solidHeader = TRUE,
div(
h5('Please select your age first: ',
style = "font-style:italic;text-align:center;font-size:120%;"),
radioButtons('ym_age', "Is in this age group",
choices = c('12-19','20-39','40-65'),
selected = '20-39'),
style = "text-align:center;"
),
br(),
tabBox(
title = tagList(shiny::icon("question-circle"), "Questions"),
width = '300px',
tabPanel(
tags$head(
tags$style(
".irs-bar {",
" border-color: #3CB371;",
" background-color: #3CB371;",
" div-align:center;",
"}",
".irs-bar-edge {",
" border-color: #3CB371;",
" background-color: #3CB371;",
"}",
".irs-single {",
" border-color: #3CB371;",
" background-color: #3CB371;",
"}"
)
),
title = 'Q01-11', icon = icon("check-circle"),
sliderInput('ym_q1', HTML("Is talkative"),
1,5,3,width = '200px'),
sliderInput('ym_q2', "Tends to find fault with others",
1,5,3,width = '200px'),
sliderInput('ym_q3', "Does a thorough job",
1,5,3,width = '200px'),
sliderInput('ym_q4', "Is depressed, blue",
1,5,3,width = '200px'),
sliderInput('ym_q5', "Is original, comes up with new ideas",
1,5,3,width = '200px'),
sliderInput('ym_q6', "Is reserved",
1,5,3,width = '200px'),
sliderInput('ym_q7', "Is helpful and unselfish with others",
1,5,3,width = '200px'),
sliderInput('ym_q8', "Can be somewhat careless",
1,5,3,width = '200px'),
sliderInput('ym_q9', "Is relaxed, handles stress well",
1,5,3,width = '200px'),
sliderInput('ym_q10', "Is curious about many different things",
1,5,3,width = '200px'),
sliderInput('ym_q11', "Is full of energy",
1,5,3,width = '200px')
),
tabPanel(
'Q12-22', icon = icon("check-circle"),
sliderInput('ym_q12', "Starts quarrels with others",
1,5,3,width = '200px'),
sliderInput('ym_q13', "Is a reliable worker",
1,5,3,width = '200px'),
sliderInput('ym_q14', "Can be tense",
1,5,3,width = '200px'),
sliderInput('ym_q15', "Is ingenious, a deep thinker",
1,5,3,width = '200px'),
sliderInput('ym_q16', "Generates a lot of enthusiasm",
1,5,3,width = '200px'),
sliderInput('ym_q17', "Has a forgiving nature",
1,5,3,width = '200px'),
sliderInput('ym_q18', "Tends to be disorganized",
1,5,3,width = '200px'),
sliderInput('ym_q19', "Worries a lot",
1,5,3,width = '200px'),
sliderInput('ym_q20', "Has an active imagination",
1,5,3,width = '200px'),
sliderInput('ym_q21', "Tends to be quiet",
1,5,3,width = '200px'),
sliderInput('ym_q22', "Is generally trusting",
1,5,3,width = '200px')
),
tabPanel(
'Q23-33', icon = icon("check-circle"),
sliderInput('ym_q23', "Tends to be lazy",
1,5,3,width = '200px'),
sliderInput('ym_q24', "Is emotionally stable",
1,5,3,width = '200px'),
sliderInput('ym_q25', "Is inventive",
1,5,3,width = '200px'),
sliderInput('ym_q26', "Has an assertive personality",
1,5,3,width = '200px'),
sliderInput('ym_q27', "Can be cold and aloof",
1,5,3,width = '200px'),
sliderInput('ym_q28', "Perseveres until the task is finished",
1,5,3,width = '200px'),
sliderInput('ym_q29', "Can be moody",
1,5,3,width = '200px'),
sliderInput('ym_q30', "Values artistic, aesthetic experiences",
1,5,3,width = '200px'),
sliderInput('ym_q31', "Is sometimes shy, inhibited",
1,5,3,width = '200px'),
sliderInput('ym_q32', "Is considerate and kind to almost everyone",
1,5,3,width = '200px'),
sliderInput('ym_q33', "Does things efficiently",
1,5,3,width = '200px')
),
tabPanel(
'Q34-44', icon = icon("check-circle"),
sliderInput('ym_q34', "Remains calm in tense situations",
1,5,3,width = '200px'),
sliderInput('ym_q35', "Prefers work that is routine",
1,5,3,width = '200px'),
sliderInput('ym_q36', "Is outgoing, sociable",
1,5,3,width = '200px'),
sliderInput('ym_q37', "Is sometimes rude to others",
1,5,3,width = '200px'),
sliderInput('ym_q38', "Makes plans and follows through with them",
1,5,3,width = '200px'),
sliderInput('ym_q39', "Gets nervous easily",
1,5,3,width = '200px'),
sliderInput('ym_q40', "Likes to reflect, play with ideas",
1,5,3,width = '200px'),
sliderInput('ym_q41', "Has few artistic interests",
1,5,3,width = '200px'),
sliderInput('ym_q42', "Likes to cooperate with others",
1,5,3,width = '200px'),
sliderInput('ym_q43', "Is easily distracted",
1,5,3,width = '200px'),
sliderInput('ym_q44', "Is sophisticated in art, music, or literature",
1,5,3,width = '200px')
)
)
),
box(width = 9,
solidHeader = TRUE,
br(),
div(
actionButton(inputId = 'ym_click',
label = 'SEE RESULTS',
icon = icon('spotify')),
style = "text-align:center;"),
br(),
box(
width = 15,
solidHeader = TRUE,
h4("Based on your test result, ",
style = "font-style:italic;text-align:center;"),
h4('You may enjoy these three genres: ',
style = "font-style:italic;text-align:center;"),
h3(textOutput("ym_genreshow"),
style = "font-style:italic;color:#3CB371;text-align:center;font-size:200%;")
),
box(
width = 15,
status = "primary",
h4("Recommendations based on genre: ",
style = "font-style:italic;text-align:center;"),
h1(textOutput('ym_showrec1_title'),
style = "font-style:italic;color:#3CB371;text-align:center;font-size:200%;"),
dataTableOutput('ym_showrec1')
),
box(
width = 15,
status = "primary",
h4("Recommendations based on genre: ",
style = "font-style:italic;text-align:center;"),
h1(textOutput('ym_showrec2_title'),
style = "font-style:italic;color:#3CB371;text-align:center;font-size:200%;"),
dataTableOutput('ym_showrec2')
),
box(
width = 15,
status = "primary",
h4("Recommendations based on genre: ",
style = "font-style:italic;text-align:center;"),
h1(textOutput('ym_showrec3_title'),
style = "font-style:italic;color:#3CB371;text-align:center;font-size:200%;"),
dataTableOutput('ym_showrec3')
)
)
)
),
# display suggested tracks
tabItem(tabName = "vr_tracks",
fluidRow(
box(width = 3,
h4("Select the song features you want!", style = "font-weight:bold;color:#3289b3;text-align:center;font-size:110%;"),
# Dance checkbox
checkboxInput("vr_dance", label = tags$b("Are you looking for a song to dance to?"), value = FALSE),
# Energy checkbox and slider
checkboxInput("vr_energy", label = tags$b("Do you want a certain amount of energy?"), value = FALSE),
conditionalPanel("input.vr_energy > 0",
sliderInput("vr_energy_slid", label = "How much energy?", min = 0, max = 1, value = .5)
),
# tempo levels
selectInput('vr_tempo', label = "How fast do you want the song to be?",
choices = list("Any" = 0, "Slow" = 1, "Medium" = 2, "Fast" = 3, "Super-fast" = 4),
selected = "Any", selectize = TRUE),
# instrumental
selectInput("vr_instrument", label = "Are you looking for Instrumental or vocal centric songs?",
choices = list("No Preference" = 2, "Instrumental" = 1, "Vocal Centric" = 0),
selected = "No Preference", selectize = TRUE),
# live
selectInput("vr_live", label = "Are you looking for songs performend live?",
choices = list("No Preference" = 2, "Yes" = 1, "No, studio only" = 0),
selected = "No Preference", selectize = TRUE),
# acoustic checkbox and slider
checkboxInput("vr_acoustic", label = tags$b("Do you want a certain amount of acousticness?"), value = FALSE),
conditionalPanel("input.vr_acoustic > 0",
sliderInput("vr_acoustic_slid", label = "How much acousticness?", min = 0, max = 1, value = .5)
),
# valence checkbox and slider
checkboxInput("vr_valence", label = tags$b("Are you looking for happy or sad songs?"), value = FALSE),
conditionalPanel("input.vr_valence > 0",
sliderInput("vr_valence_slid", label = "Choose level of happiness(0 is sad, 1 is happy)", min = 0, max = 1, value = .5)
),
# Action button
actionButton("vr_get_tracks", label = "Search", icon = icon("search"))
),
box(width = 9,
h4("10 songs that you might like!", style = "font-weight:bold;color:#3289b3;text-align:center;font-size:110%;"),
DT::dataTableOutput("vr_tracks_df")
))
)
)
)
)
server <- function(input, output, session) {
genius_artists <- reactive({
input$sjj_search
isolate({
genius_get_artists(input$sjj_artist)
})
})
artist_id <- reactive({
genius_artists() %>%
filter(artist_name == input$sjj_select_artist) %>%
select(artist_id) %>% as.numeric()
})
lyrics_df <- eventReactive(input$sjj_plot, {
withProgress({
setProgress(message = "Generating hit songs...")
tracks = top10tracks(artist_id())$track_name
cbind(1:length(tracks), tracks)
})
})
sent_df <- eventReactive(input$sjj_plot, {
withProgress({
setProgress(message = "Generating sentiment data...")
tracks_df <- top10tracks(artist_id())
tracks_df %>%
unnest_tokens(word, lyrics) %>%
anti_join(stop_words, by = 'word') %>%
mutate(positive = word %in% positive_words,
negative = word %in% negative_words) %>%
group_by(track_name) %>%
dplyr::summarise(negative = sum(negative, na.rm = T),
positive = sum(positive, na.rm = T),
word_count = n()) %>%
ungroup
})
})
wordfreq <- eventReactive(input$sjj_plot, {
withProgress({
setProgress(message = "Generating wordcloud...")
get_wordfreq(top10tracks(artist_id()))
})
})
observe({
artist <- input$sjj_artist
updateSelectInput(session, "sjj_select_artist",
choices = genius_artists()$artist_name
)
})
output$sjj_plot <- renderWordcloud2({
wordcloud2(wordfreq(), color = "random-light", backgroundColor = "grey", fontFamily = "Courier")
})
output$sjj_sent_table <- renderDataTable({
DT::datatable(sent_df()[, 1:3], selection = "single")
})
output$sjj_barplot <- renderPlot({
sent_df() %>%
gather(key = "sentiment", value = "count", negative:positive) %>%
ggplot() +
geom_bar(aes(x = track_name, y = count, fill = sentiment),
stat = "identity") +
labs(x = "Track", y = "Word Count") +
theme(axis.text.x = element_text(angle = 60, hjust = 1))
})
output$sjj_my <- DT::renderDataTable({
df <- lyrics_df()
colnames(df) <- c("Index", "Track")
DT::datatable(df, selection = "single")
})
output$sjj_artist_image <- renderText({
src <- genius_artist_image(artist_id())
c('<img src="',src,'"height="200">')
})
shinyjs::hide(id = "cs_fluidrow")
# get artists data from user input
cs_artists <- reactive({
input$cs_get_artist
isolate({
get_artist(input$cs_artist_name)
})
})
# get related artists when an artist is selected
cs_related_artists <- reactive({
input$cs_select_artist
isolate({
id <- cs_artists()$id[cs_artists()$name == input$cs_select_artist]
req(id)
get_related_artists(id)
})
})
# get albums when an artist is selected
cs_albums <- reactive({
input$cs_select_artist
isolate({
id <- cs_artists()$id[cs_artists()$name == input$cs_select_artist]
req(id)
get_album(id)
})
})
# get tracks when an album is selected
cs_tracks <- reactive({
input$cs_select_album
isolate({
req(input$cs_select_album, cs_albums())
get_track(cs_albums(), input$cs_select_album)
})
})
# get all tracks for "Tracks" tab
cs_all_tracks <- reactive({
req(input$cs_select_artist)
get_all_tracks(input$cs_select_artist)
})
# get features
cs_track_features <- reactive({
input$cs_select_album
isolate({
req(input$cs_select_album, cs_tracks())
get_multi_features(cs_tracks()$id)
})
})
cs_all_track_features <- reactive({
req(input$cs_select_artist, cs_all_tracks())
get_multi_features(cs_all_tracks()$id)
})
# data table on "Tracks" tab
output$cs_tracks_table <- DT::renderDataTable(DT::datatable({
data <- cs_all_tracks()[,1:3]
}))
# after clicking search button
observeEvent(input$cs_get_artist, {
if (is.null(cs_artists())) {
shinyalert("", "Cannot find any musicians. Please start a new search", type = "info")
} else {
# select artist
output$cs_select_artist <- renderUI({
selectInput("cs_select_artist", label = "Select a Musician", choices = cs_artists()$name)
})
}
})
# after selecting artist
observeEvent(input$cs_select_artist, {
shinyjs::show(id = "cs_fluidrow")
# artist image
# already pre-processed all records without image to default image
artist_img <- cs_artists()$images[cs_artists()$name == input$cs_select_artist]
req(artist_img)
if (artist_img != "NULL"){
output$cs_artist_img <- renderUI({
tags$img(src = artist_img,
width = "80%", style = "display:block; margin-left:auto; margin-right:auto;")
})
} else {
output$cs_artist_img <- renderUI({
})
}
output$cs_artist_info <- renderValueBox({
valueBox(value = tags$p(prettyNum(cs_artists()$followers[cs_artists()$name == input$cs_select_artist], big.mark = ","), style = "font-size: 60%;"),
subtitle = tags$p("Followers", style = "font-size: 90%; "),
icon = tags$i(class="fa fa-heart fa-fw", style="font-size: 30px;"),
color = "red"
)
})
# related artists
output$cs_related_artists <- renderUI({
selectInput("cs_related_artists", label = "Other Musicians You May Like", choices =
cs_related_artists(), multiple = T, selectize = F)
})
# select albums
if (is.null(cs_albums())) {
output$cs_select_album <- renderUI({
h3("No available album information")
})
output$cs_album_img <- renderUI({})
output$cs_album_info <- renderUI({})
output$cs_tracks <- renderUI({})
lapply(1:num_hist, function(i) {
output[[paste0('h', i)]] <- renderPlotly({})
})
} else {
output$cs_select_album <- renderUI({
selectInput("cs_select_album", label = "Select an Album", choices = cs_albums()$name)
})
}
})
# after selecting album
observeEvent(input$cs_select_album, {
# album img
album_img <- cs_albums()$images[cs_albums()$name == input$cs_select_album]
req(album_img)
if (album_img != "NULL"){
output$cs_album_img <- renderUI({
tags$img(src = album_img,
width = "80%", style = "display:block; margin-left:auto; margin-right:auto;")
})
} else{
output$cs_album_img <- renderUI({
})
}
# album info
output$cs_album_info <- renderValueBox({
valueBox(value = tags$p(cs_albums()$popularity[cs_albums()$name == input$cs_select_album], style = "font-size: 60%;"),
subtitle = tags$p("Album Popularity", style = "font-size: 90%; "),
icon = tags$i(class="fa fa-heart fa-fw", style="font-size: 30px;"),
color = "red"
)
})
# tracks
if (is.null(cs_tracks())) {
output$cs_tracks <- renderUI({
h3("No available tracks information")
})
} else {
withProgress(message = "updating plots ...", value = 0,{
req(cs_tracks(), input$cs_select_album)
output$cs_tracks <- renderUI({
selectInput("cs_select_track", label = str_c("Tracks from Album ", input$cs_select_album),
choices = cs_tracks()$name, multiple = T, selectize = F)
})
# histograms, same codes as those below, not ideal
shinyjs::show(id = "cs_box")
req(cs_track_features())
lapply(1:num_hist, function(i) {
output[[paste0('h', i)]] <- renderPlotly({
feature_name <- colnames(cs_track_features())[i]
ggplot(cs_track_features(), aes_string(x = feature_name)) +
geom_histogram(bins = 8, fill="#F08080", color="#e9ecef", alpha=0.9) +
labs(x = "", y = "", title = feature_name) +
theme_bw()
})
incProgress(1/num_hist, detail = paste("loading", i))
})
})
}
})
# after selecting track
observeEvent(input$cs_select_track, {
# track info
track_popularity <- cs_all_tracks()$Popularity[cs_all_tracks()$Track == input$cs_select_track]
output$cs_track_info <- renderValueBox({
valueBox(value = tags$p(cs_all_tracks()$Popularity[cs_all_tracks()$Track == input$cs_select_track], style = "font-size: 60%;"),
subtitle = tags$p("Track Popularity", style = "font-size: 90%; "),
icon = tags$i(class="fa fa-heart fa-fw", style="font-size: 30px;"),
color = "red"
)
})
# preview_url
preview_url <- cs_tracks()$preview_url[cs_tracks()$name == input$cs_select_track]
req(preview_url)
if (preview_url != "NULL"){
output$cs_track_preview <- renderUI({
h2("Track Preview")
tags$audio(src =cs_tracks()$preview_url[cs_tracks()$name == input$cs_select_track], type = "audio/mp3", controls = NA)
})
} else {
output$cs_track_preview <- renderUI({
})
}
})
# after clicking between tabs
observeEvent(input$cs_albums_tracks, {
if (input$cs_albums_tracks == "Tracks"){
withProgress(message = "updating plots ...", value = 0, {
req(cs_all_track_features())
lapply(1:num_hist, function(i) {
output[[paste0('h', i)]] <- renderPlotly({
feature_name <- colnames(cs_all_track_features())[i]
ggplot(cs_all_track_features(), aes_string(x = feature_name)) +
geom_histogram(bins = 8, fill="#F08080", color="#e9ecef", alpha=0.9) +
labs(x = "", y = "", title = feature_name)
})
incProgress(1/num_hist, detail = paste("loading", i))
})
})
} else if(input$cs_albums_tracks == "Albums"){
if (is.null(cs_albums())) {
lapply(1:num_hist, function(i) {
output[[paste0('h', i)]] <- renderPlotly({})
})
} else {
withProgress(message = "updating plots ...", value = 0, {
req(cs_track_features(), cs_albums())
lapply(1:num_hist, function(i) {
output[[paste0('h', i)]] <- renderPlotly({
feature_name <- colnames(cs_track_features())[i]
ggplot(cs_track_features(), aes_string(x = feature_name)) +
geom_histogram(bins = 8, fill="#F08080", color="#e9ecef", alpha=0.9) +
labs(x = "", y = "", title = feature_name)
})
incProgress(1/num_hist, detail = paste("loading", i))
})
})
}
}
})
df = eventReactive(input$ym_click,{
### compute test scores
openness_p = input$ym_q5 + input$ym_q10 + input$ym_q15 + input$ym_q20 + input$ym_q25 + input$ym_q30 +
input$ym_q40 + input$ym_q44
openness_r = 12 - (input$ym_q35 + input$ym_q41)
openness = (openness_p + openness_r) / 10
openness = (openness - 1) / 4
conscientiousness_p = input$ym_q3 + input$ym_q13 + input$ym_q28 + input$ym_q33 + input$ym_q38
conscientiousness_r = 24 - (input$ym_q8 + input$ym_q18 + input$ym_q23 + input$ym_q43)
conscientiousness = (conscientiousness_p + conscientiousness_r) / 9
conscientiousness = (conscientiousness - 1) / 4
extraversion_p = input$ym_q1 + input$ym_q11 + input$ym_q16 + input$ym_q26 + input$ym_q36
extraversion_r = 18 - (input$ym_q6 + input$ym_q21 + input$ym_q31)
extraversion = (extraversion_p + extraversion_r) / 8
extraversion = (extraversion - 1) / 4
agreeableness_p = input$ym_q7 + input$ym_q17 + input$ym_q22 + input$ym_q32 + input$ym_q42
agreeableness_r = 24 - (input$ym_q2 + input$ym_q12 + input$ym_q27 + input$ym_q37)
agreeableness = (agreeableness_p + agreeableness_r) / 9
agreeableness = (agreeableness - 1) / 4
neuroticism_p = input$ym_q4 + input$ym_q14 + input$ym_q19 + input$ym_q29 + input$ym_q39
neuroticism_r = 18 - (input$ym_q9 + input$ym_q24 + input$ym_q34)
neuroticism = (neuroticism_p + neuroticism_r) / 8
neuroticism = (neuroticism - 1) / 4
ym_score.test = c(openness, conscientiousness, extraversion, agreeableness, neuroticism)
### compute genre scores
if(input$ym_age=='12-19'){
ym_score.genre = cor.age.12_19%*%ym_score.test
}
if(input$ym_age=='20-39'){
ym_score.genre = cor.age.20_39%*%ym_score.test
}
if(input$ym_age=='40-65'){
ym_score.genre = cor.age.40_65%*%ym_score.test
}
### find genres recommended
ym_rec.genre = ym_score.genre %>%
data.frame(.) %>%
`colnames<-`('score') %>%
bind_cols(genre = c('r-n-b', 'hip-hop', 'electronic', 'rock', 'new-age',
'classical', 'reggae', 'blues', 'country', 'world-music',
'folk', 'soundtracks', 'jazz', 'opera', 'punk',
'alternative', 'pop', 'metal')) %>%
arrange(desc(score)) %>%
slice(1:3)
})
### get dataframe of three genres
rec1 = reactive({
get_rec(df()[1,2])
})
rec2 = reactive({
get_rec(df()[2,2])
})
rec3 = reactive({
get_rec(df()[3,2])
})
### show genre recommended
output$ym_genreshow = renderText({
g = df()$genre
toupper(str_c(g[1],g[2],g[3],sep=', '))
})
### show FIRST SONG
output$ym_showrec1_title = renderText({
toupper(df()$genre[1])
})
#
output$ym_showrec1 = renderDataTable({
DT::datatable(rec1() %>%
select(image.url,track,album,artist) %>%
mutate(image.url = str_c('<img src="',image.url,'" height="130"></img>')) %>%
`colnames<-`(c('Cover','Song','Album','Artist')) %>%
t(.) %>%
as.data.frame() %>%
`colnames<-`(c('First','Second','Third')),
escape = FALSE,
options = list(
searching = FALSE,lengthChange = FALSE, paging = FALSE,
info = FALSE, ordering = FALSE,pageLength = 5,
lengthMenu = c(5, 10, 15, 20), autoWidth = TRUE,
columnDefs = list(list(width = '230px',targets = c(1,2,3)),
list(className = 'dt-center',targets = '_all'))
)
)
})
### show SECOND SONG
output$ym_showrec2_title = renderText({
toupper(df()$genre[2])
})
#
output$ym_showrec2 = renderDataTable({
DT::datatable(rec2() %>%
select(image.url,track,album,artist) %>%
mutate(image.url = str_c('<img src="',image.url,'" height="130"></img>')) %>%
`colnames<-`(c('Cover','Song','Album','Artist')) %>%
t(.) %>%
as.data.frame() %>%
`colnames<-`(c('First','Second','Third')),
escape = FALSE,
options = list(
searching = FALSE,lengthChange = FALSE, paging = FALSE,
info = FALSE, ordering = FALSE,pageLength = 5,
lengthMenu = c(5, 10, 15, 20), autoWidth = TRUE,
columnDefs = list(list(width = '230px',targets = c(1,2,3)),
list(className = 'dt-center',targets = '_all'))
)
)
})
### show THIRD SONG
output$ym_showrec3_title = renderText({
toupper(df()$genre[3])
})
#
output$ym_showrec3 = renderDataTable({
DT::datatable(rec3() %>%
select(image.url,track,album,artist) %>%
mutate(image.url = str_c('<img src="',image.url,'" height="130"></img>')) %>%
`colnames<-`(c('Cover','Song','Album','Artist')) %>%
t(.) %>%
as.data.frame() %>%
`colnames<-`(c('First','Second','Third')),
escape = FALSE,
options = list(
searching = FALSE,lengthChange = FALSE, paging = FALSE,
info = FALSE, ordering = FALSE,pageLength = 5,
lengthMenu = c(5, 10, 15, 20), autoWidth = TRUE,
columnDefs = list(list(width = '230px',targets = c(1,2,3)),
list(className = 'dt-center',targets = '_all'))
)
)
})
# get nearest tracks
observeEvent(input$vr_get_tracks, {
output$vr_tracks_df <- DT::renderDataTable({
input$vr_get_tracks
isolate({
# test input(requires tempo mapping)
inps <- input_creator(list(100, # popularity(always 100, pop_flag sets weigths in distance calculators)
unlist( ifelse(input$vr_dance, 1, list(NULL)) ), # dance 1(want) or NULL(don't care)
unlist( ifelse(input$vr_energy, input$vr_energy_slid, list(NULL)) ), # energy - something or NULL
unlist( ifelse(input$vr_acoustic, input$vr_acoustic_slid, list(NULL)) ), # same as energy
unlist( ifelse(input$vr_instrument == 2, list(NULL), input$vr_instrument )), # return NULL or 0,1
unlist( ifelse(input$vr_live == 2, list(NULL), input$vr_live )), # same as instrument
unlist( ifelse(input$vr_valence, input$vr_valence_slid, list(NULL)) ), # same as energy
unlist( ifelse(input$vr_tempo == 0, list(NULL), input$vr_tempo ))
))
# split input and weights
input_vals <- inps$input_val
input_wts <- inps$weights
# get results!
df <- get_results(inp = input_vals, wt = input_wts, categories = input$vr_cats)
df$Link <- paste0("<a href='",df$Link,"'target='_blank'>", "Link", "</a>")
DT::datatable(df, rownames = F,
escape = FALSE,
options = list(
searching = FALSE, paging = FALSE,
info = FALSE, ordering = FALSE,pageLength = 5,
lengthMenu = c(5, 10, 15, 20)
)
)
})
})
})
}
shinyApp(ui = ui, server = server)