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Update app.py
Browse files
app.py
CHANGED
@@ -167,7 +167,7 @@ def train_model(x, target_cols):
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print(target_cols)
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time.sleep(6)
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performance_plot = cv2.imread("model_performance.png")
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metrics = pd.DataFrame([[0.
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return "Model successfully adapted to your data!", performance_plot, metrics
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@@ -318,7 +318,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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with gr.Column():
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gr.Markdown("### Your design space")
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-
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with gr.Row():
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gr.Examples([example_inputs], [input_formula, input_phase, input_bccfcc, input_processing, input_microstructure])
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@@ -326,7 +326,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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input_slicer_1.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[
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show_progress=True,
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queue=True,
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every=0.5,
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@@ -335,7 +335,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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input_slicer_2.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[
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show_progress=True,
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queue=True,
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# every=2,
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@@ -344,7 +344,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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input_slicer_3.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[
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show_progress=True,
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queue=True,
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# every=2,
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@@ -353,7 +353,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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output_hardness.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[
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show_progress=True,
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queue=True,
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# every=2,
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print(target_cols)
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time.sleep(6)
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performance_plot = cv2.imread("model_performance.png")
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metrics = pd.DataFrame([[0.05, 0.017]], columns=["RMSE", "MAPE"])
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return "Model successfully adapted to your data!", performance_plot, metrics
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with gr.Column():
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gr.Markdown("### Your design space")
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output_plot_space = gr.Plot(type="plotly")
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with gr.Row():
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gr.Examples([example_inputs], [input_formula, input_phase, input_bccfcc, input_processing, input_microstructure])
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input_slicer_1.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[output_plot_space],
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show_progress=True,
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queue=True,
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every=0.5,
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input_slicer_2.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[output_plot_space],
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show_progress=True,
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queue=True,
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# every=2,
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input_slicer_3.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[output_plot_space],
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show_progress=True,
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queue=True,
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# every=2,
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output_hardness.change(
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fn=update_plot_fn,
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inputs=[dropdown_1, input_slicer_1, dropdown_2, input_slicer_2, dropdown_3, input_slicer_3],
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outputs=[output_plot_space],
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show_progress=True,
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queue=True,
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# every=2,
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