Spaces:
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Commit ·
6cac300
1
Parent(s): 720ba77
Add usage
Browse files- frontends/gradio/main.py +31 -2
- usage.md +9 -1
frontends/gradio/main.py
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@@ -247,6 +247,7 @@ def launch():
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y_col,
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],
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with gr.Tab("Regularization"):
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with gr.Row():
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@@ -271,8 +272,35 @@ def launch():
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step=1,
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interactive=True,
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)
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fn=handle_generate_plots,
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inputs=[
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manager_state,
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outputs=[manager_state, main_plot, data_plot, strength_plot],
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)
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demo.launch(css=CSS)
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y_col,
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],
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)
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regenerate_plots_button1 = gr.Button("Regenerate Plots")
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with gr.Tab("Regularization"):
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with gr.Row():
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step=1,
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interactive=True,
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)
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regenerate_plots_button2 = gr.Button("Regenerate Plots")
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with gr.Tab("Usage"):
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with open(root_dir / "usage.md", "r") as f:
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gr.Markdown(f.read())
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regenerate_plots_button1.click(
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fn=handle_generate_plots,
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inputs=[
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manager_state,
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dataset_type,
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function,
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x1_textbox,
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x2_textbox,
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x_selection_method,
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sigma,
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nsample,
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csv_file,
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has_header,
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x1_col,
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x2_col,
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y_col,
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loss_type_dropdown,
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regularizer_type_dropdown,
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resolution_slider,
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],
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outputs=[manager_state, main_plot, data_plot, strength_plot],
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)
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regenerate_plots_button2.click(
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fn=handle_generate_plots,
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inputs=[
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manager_state,
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outputs=[manager_state, main_plot, data_plot, strength_plot],
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)
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demo.launch(css=CSS)
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usage.md
CHANGED
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@@ -1 +1,9 @@
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**
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**Usage**
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1. In the **Data** tab, generate a dataset using a custom function or upload a csv file
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2. In the **Regularization** tab, select your loss type and regularizer type
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3. Click **Regenerate Plots** to update plots with the current settings
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4. View the three plots on the left
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* Loss and regularizer norm contour plot
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* Plot of the dataset used
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* Plot of regularization strength vs weight
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