alrichardbollans commited on
Commit
e492da7
·
1 Parent(s): 0e13784

Update logo

Browse files
Files changed (3) hide show
  1. app.py +9 -5
  2. assets/{example_logo.png → logo3.png} +2 -2
  3. styles.css +3 -0
app.py CHANGED
@@ -24,7 +24,8 @@ acknowledgement_text = ("The OrchAId TZ viability dataset used to develop the mo
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  "Instituto de Investigação Agrária de Moçambique, Mozambique, Departmento de Recursos Naturales y Ambientales, "
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  "Puerto Rico & the National Parks Trust of the Virgin Islands.")
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  disclaimer_text = (
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- ui.HTML("<b>DISCLAIMER</b>"),': the evaluation of the model applies to our dataset and there are many factors that may influence performance of the '
 
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  'model on new images.'
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  ' We recommend visually inspecting at least a few images to ensure the model is performing as expected on your batch of images.')
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  # Load the prediction model
@@ -106,12 +107,15 @@ main_app = ui.page_fluid(
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  app_ui = ui.page_fluid(
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  ui.include_css("styles.css"),
 
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  ui.div(
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  ui.row(
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- ui.column(1,
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- ui.panel_title(ui.div(ui.output_image("logo_image", inline=True), class_="navbar-logo"))
 
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  ),
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- ui.column(4, ui.div('A tool to automate the analysis of epiphytic orchid viability tests with machine learning', class_="navbar-text"), class_="navbar-col")
 
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  ),
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  class_="nav-bar"
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  ),
@@ -258,7 +262,7 @@ def server(input, output, session: Session):
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  @render.image
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  def logo_image():
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- img = {"src": "assets/example_logo.png", "height": "100px", "width": "100px"}
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  return img
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  analysis_results = reactive.Value([])
 
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  "Instituto de Investigação Agrária de Moçambique, Mozambique, Departmento de Recursos Naturales y Ambientales, "
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  "Puerto Rico & the National Parks Trust of the Virgin Islands.")
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  disclaimer_text = (
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+ ui.HTML("<b>DISCLAIMER</b>"),
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+ ': the evaluation of the model applies to our dataset and there are many factors that may influence performance of the '
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  'model on new images.'
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  ' We recommend visually inspecting at least a few images to ensure the model is performing as expected on your batch of images.')
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  # Load the prediction model
 
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  app_ui = ui.page_fluid(
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  ui.include_css("styles.css"),
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+
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  ui.div(
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  ui.row(
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+ ui.column(2,
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+ ui.panel_title(ui.div(ui.output_image("logo_image", inline=True), class_="navbar-logo")),
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+ class_="navbar-col"
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  ),
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+ ui.column(4, ui.div('A tool to automate the analysis of epiphytic orchid viability tests with machine learning', class_="navbar-text"),
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+ class_="navbar-col")
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  ),
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  class_="nav-bar"
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  ),
 
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  @render.image
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  def logo_image():
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+ img = {"src": "assets/logo3.png", "height": "100px", "width": "138px", 'alt': 'OrchAId'}
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  return img
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  analysis_results = reactive.Value([])
assets/{example_logo.png → logo3.png} RENAMED
File without changes
styles.css CHANGED
@@ -40,6 +40,7 @@ body {
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  font-weight: 700;
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  font-size: 1.8rem;
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  padding: 0px 0;
 
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  }
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  /*To align text at the bottom of the navbar*/
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  .navbar-text {
@@ -49,6 +50,8 @@ body {
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  .navbar-col{
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  display: table;
 
 
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  }
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  .body-bar {
 
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  font-weight: 700;
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  font-size: 1.8rem;
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  padding: 0px 0;
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+ text-align: center;
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  }
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  /*To align text at the bottom of the navbar*/
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  .navbar-text {
 
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  .navbar-col{
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  display: table;
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+ padding-left: 0;
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+ padding-right: 0;
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  }
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  .body-bar {