Spaces:
Running
on
Zero
Running
on
Zero
update msg
Browse files
app.py
CHANGED
@@ -2297,7 +2297,8 @@ with demo:
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num_sample_fps_slider = gr.Slider(1, 5000, step=1, label="FPS: num_sample", value=1000, elem_id="num_sample_fps")
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tsne_perplexity_slider = gr.Slider(1, 1000, step=1, label="t-SNE: perplexity", value=500, elem_id="perplexity_tsne")
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fps_hc_seed_slider = gr.Slider(0, 1000, step=1, label="Seed", value=0, elem_id="fps_hc_seed")
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tree_method_radio = gr.Radio(["eigvecs", "tsne"], label="Tree Method (input type)", value="
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tsne_plot = gr.Image(label="spectral-tSNE tree", elem_id="tsne_plot", interactive=False, format='png')
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tsne_2d_points = gr.State(np.array([]))
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num_sample_fps_slider = gr.Slider(1, 5000, step=1, label="FPS: num_sample", value=1000, elem_id="num_sample_fps")
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tsne_perplexity_slider = gr.Slider(1, 1000, step=1, label="t-SNE: perplexity", value=500, elem_id="perplexity_tsne")
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fps_hc_seed_slider = gr.Slider(0, 1000, step=1, label="Seed", value=0, elem_id="fps_hc_seed")
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tree_method_radio = gr.Radio(["eigvecs", "tsne"], label="Tree Method (input type)", value="tsne", elem_id="tree_method",
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info="What's the input to build tree? `eigvecs` is loss-less, `tsne` is lossy; tsne make tree looks 'better', eigvecs is more accurate.")
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tsne_plot = gr.Image(label="spectral-tSNE tree", elem_id="tsne_plot", interactive=False, format='png')
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tsne_2d_points = gr.State(np.array([]))
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