pooyanrg commited on
Commit
f900034
·
1 Parent(s): a80c3e9
Files changed (1) hide show
  1. app.py +2 -29
app.py CHANGED
@@ -249,29 +249,14 @@ with gr.Blocks() as demo:
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  html_text = f"""
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  <div id="container">
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  <canvas id="before" width="{width}" height="{height}"></canvas><img id="canvas-before" style="display:none;"/>
 
 
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  <canvas id="after" width="{width}" height="{height}"></canvas><img id="canvas-after" style="display:none;"/>
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  </div>
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  """
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  html = gr.HTML(html_text)
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-
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- # image_display_with_grid_bef = gr.Image(type="pil", label="Before Image with Grid")
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- # image_display_with_grid_aft = gr.Image(type="pil", label="After Image with Grid")
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-
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- # # Add click event to the displayed image
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- # image_display_with_grid_bef.select(
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- # handle_click,
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- # inputs=[image_display_with_grid_bef, selected_cells_bef, image_bef],
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- # outputs=[image_display_with_grid_bef, selected_cells_bef]
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- # )
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-
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- # image_display_with_grid_aft.select(
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- # handle_click,
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- # inputs=[image_display_with_grid_aft, selected_cells_aft, image_aft],
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- # outputs=[image_display_with_grid_aft, selected_cells_aft]
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- # )
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-
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  with gr.Row():
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  with gr.Column(scale=1):
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  # Example images
@@ -285,18 +270,6 @@ with gr.Blocks() as demo:
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  examples_per_page=5
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  )
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- # image_bef.change(
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- # fn=display_image,
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- # inputs=[image_bef],
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- # outputs=[image_display_with_grid_bef, selected_cells_bef]
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- # )
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-
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- # image_aft.change(
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- # fn=display_image,
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- # inputs=[image_aft],
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- # outputs=[image_display_with_grid_aft, selected_cells_aft]
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- # )
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-
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  with gr.Column(scale=1):
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  # Output components
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  prediction = gr.Textbox(label="Predicted caption")
 
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  html_text = f"""
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  <div id="container">
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  <canvas id="before" width="{width}" height="{height}"></canvas><img id="canvas-before" style="display:none;"/>
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+ <br>
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+ <br>
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  <canvas id="after" width="{width}" height="{height}"></canvas><img id="canvas-after" style="display:none;"/>
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  </div>
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  """
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  html = gr.HTML(html_text)
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  with gr.Row():
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  with gr.Column(scale=1):
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  # Example images
 
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  examples_per_page=5
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  )
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  with gr.Column(scale=1):
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  # Output components
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  prediction = gr.Textbox(label="Predicted caption")