huzey commited on
Commit
9a512f6
·
1 Parent(s): 1a459d0
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -4248,6 +4248,8 @@ with demo:
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  with gr.Tab('Sub-cluster (dev)', visible=False) as sub_cluster_tab:
 
 
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  with gr.Row():
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  with gr.Column(scale=5, min_width=200):
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  input_gallery, submit_button, clear_images_button, dataset_dropdown, num_images_slider, random_seed_slider, load_images_button = make_input_images_section()
@@ -4269,8 +4271,6 @@ with demo:
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  sampling_method_dropdown, ncut_metric_dropdown, positive_prompt, negative_prompt
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  ] = make_parameters_section()
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- with gr.Row():
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- image_cluster_plot = gr.Image(value=None, label="Image-level clustering", elem_id="image_cluster_plot", interactive=False)
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  false_placeholder = gr.Checkbox(label="False", value=False, elem_id="false_placeholder", visible=False)
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  no_prompt = gr.Textbox("", label="", elem_id="empty_placeholder", type="text", placeholder="", visible=False)
@@ -4362,7 +4362,7 @@ with demo:
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  for i, (x, y) in enumerate(tsne_2d):
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  img = padded_images[i]
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  img = np.array(img)
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- imgbox = OffsetImage(img, zoom=0.15)
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  ab = AnnotationBbox(imgbox, (x, y), frameon=False)
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  ax.add_artist(ab)
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  with gr.Tab('Sub-cluster (dev)', visible=False) as sub_cluster_tab:
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+ with gr.Row():
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+ image_cluster_plot = gr.Image(value=None, label="Image-level clustering", elem_id="image_cluster_plot", interactive=False)
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  with gr.Row():
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  with gr.Column(scale=5, min_width=200):
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  input_gallery, submit_button, clear_images_button, dataset_dropdown, num_images_slider, random_seed_slider, load_images_button = make_input_images_section()
 
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  sampling_method_dropdown, ncut_metric_dropdown, positive_prompt, negative_prompt
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  ] = make_parameters_section()
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  false_placeholder = gr.Checkbox(label="False", value=False, elem_id="false_placeholder", visible=False)
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  no_prompt = gr.Textbox("", label="", elem_id="empty_placeholder", type="text", placeholder="", visible=False)
 
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  for i, (x, y) in enumerate(tsne_2d):
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  img = padded_images[i]
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  img = np.array(img)
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+ imgbox = OffsetImage(img, zoom=0.2)
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  ab = AnnotationBbox(imgbox, (x, y), frameon=False)
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  ax.add_artist(ab)
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