Jonas Rheiner commited on
Commit
e4a444c
·
1 Parent(s): b3cbb18

Update image component

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -536,7 +536,7 @@ with demo:
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  <h3> This Demo showcases the developed models and allows interacting with the optimized prototype.</h3>
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  <p>Try the <b>"Image Geolocation Demo"</b> tab with your own images or with one of the examples. For all example image the ground truth is available and will be displayed together with the model predictions.</p>
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- <p>In the <b>"Versus Mode"</b> tab to play against the AI, guessing the country and continent where images where taken. Images in the versus mode are from the <a href="http://graphics.cs.cmu.edu/projects/im2gps/"><code>Im2GPS</code></a> and <a href="https://arxiv.org/abs/1705.04838"><code>Im2GPS3k</code></a> geolocation literature benchmarks. Can you beat the AI?
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  """
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  )
@@ -554,7 +554,7 @@ with demo:
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  with gr.Row():
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  with gr.Column():
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  image = gr.Image(
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- label="Image", type="pil", sources=["upload", "clipboard"]
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  )
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  predict_btn = gr.Button("Predict")
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  example_images = get_example_images("kerger-test-images")
@@ -576,7 +576,7 @@ with demo:
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  versus_state = gr.State(value=INITAL_VERSUS_STATE)
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  with gr.Row():
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  with gr.Column():
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- versus_image = gr.Image(INITAL_VERSUS_STATE["image"], interactive=False)
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  continent_selection = gr.Radio(
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  continents,
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  label="Continents",
 
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  <h3> This Demo showcases the developed models and allows interacting with the optimized prototype.</h3>
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  <p>Try the <b>"Image Geolocation Demo"</b> tab with your own images or with one of the examples. For all example image the ground truth is available and will be displayed together with the model predictions.</p>
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+ <p>In the <b>"Versus Mode"</b> tab you can play against the AI, guessing the country and continent where images where taken. Images in the versus mode are from the <a href="http://graphics.cs.cmu.edu/projects/im2gps/"><code>Im2GPS</code></a> and <a href="https://arxiv.org/abs/1705.04838"><code>Im2GPS3k</code></a> geolocation literature benchmarks. Can you beat the AI?
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  """
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  )
 
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  with gr.Row():
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  with gr.Column():
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  image = gr.Image(
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+ label="Image", type="pil", sources=["upload", "clipboard"], show_fullscreen_button=True
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  )
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  predict_btn = gr.Button("Predict")
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  example_images = get_example_images("kerger-test-images")
 
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  versus_state = gr.State(value=INITAL_VERSUS_STATE)
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  with gr.Row():
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  with gr.Column():
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+ versus_image = gr.Image(INITAL_VERSUS_STATE["image"], interactive=False, show_download_button=False, show_share_button=False, show_fullscreen_button=True)
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  continent_selection = gr.Radio(
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  continents,
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  label="Continents",