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Build error
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b345ff4
1
Parent(s):
62fad80
show legends
Browse files- app.py +20 -4
- src/plot_utils.py +9 -4
app.py
CHANGED
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@@ -98,6 +98,15 @@ with main_app:
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interactive=True,
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)
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with gr.Row():
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dummy_plot_df = gr.DataFrame(
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value=plot_df,
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@@ -111,28 +120,35 @@ with main_app:
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open_models_selection.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names],
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plot_output,
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queue=True
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)
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closed_models_selection.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names],
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plot_output,
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queue=True
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)
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show_all.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names],
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plot_output,
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queue=True
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)
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show_names.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names],
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plot_output,
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queue=True
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)
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interactive=True,
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)
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with gr.Column():
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show_legend = gr.CheckboxGroup(
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["Show Legend"],
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label ="Show legend on the plot 💡",
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value=[],
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elem_id="value-select-5",
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interactive=True,
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)
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with gr.Row():
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dummy_plot_df = gr.DataFrame(
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value=plot_df,
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open_models_selection.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend],
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plot_output,
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queue=True
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)
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closed_models_selection.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend],
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plot_output,
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queue=True
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)
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show_all.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend],
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plot_output,
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queue=True
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)
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show_names.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend],
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plot_output,
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queue=True
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)
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show_legend.change(
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compare_plots,
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[dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend],
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plot_output,
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queue=True
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)
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src/plot_utils.py
CHANGED
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@@ -3,7 +3,7 @@ import plotly.express as px
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from src.assets.text_content import SHORT_NAMES
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def plotly_plot(df:pd.DataFrame, LIST:list, ALL:list, NAMES:list):
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'''
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Takes in a list of models for a plotly plot
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Args:
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@@ -11,6 +11,7 @@ def plotly_plot(df:pd.DataFrame, LIST:list, ALL:list, NAMES:list):
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LIST: List of models to plot
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ALL: Either [] or ["Show All Models"] - toggle view to plot all models
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NAMES: Either [] or ["Show Names"] - toggle view to show model names on plot
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Returns:
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Fig: plotly figure
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'''
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@@ -38,6 +39,9 @@ def plotly_plot(df:pd.DataFrame, LIST:list, ALL:list, NAMES:list):
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color_discrete_map={"category1": "blue", "category2": "red"},
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hover_name=list_columns[0], template="plotly_white")
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fig.update_layout(
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xaxis_title='% Played',
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yaxis_title='Quality Score',
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@@ -52,7 +56,7 @@ def plotly_plot(df:pd.DataFrame, LIST:list, ALL:list, NAMES:list):
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# ['Model', 'Clemscore', 'All(Played)', 'All(Quality Score)']
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def compare_plots(df: pd.DataFrame, LIST1: list, LIST2: list, ALL:list, NAMES:list):
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'''
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Quality Score v/s % Played plot by selecting models
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Args:
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@@ -60,14 +64,15 @@ def compare_plots(df: pd.DataFrame, LIST1: list, LIST2: list, ALL:list, NAMES:li
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LIST1: The list of open source models to show in the plot, updated from frontend
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LIST2: The list of commercial models to show in the plot, updated from frontend
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ALL: Either [] or ["Show All Models"] - toggle view to plot all models
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NAMES: Either [] or ["Show Names"] - toggle view to show model names on plot
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Returns:
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fig: The plot
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'''
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# Combine lists for Open source and commercial models
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LIST = LIST1 + LIST2
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fig = plotly_plot(df, LIST, ALL, NAMES)
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return fig
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from src.assets.text_content import SHORT_NAMES
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def plotly_plot(df:pd.DataFrame, LIST:list, ALL:list, NAMES:list, LEGEND:list):
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'''
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Takes in a list of models for a plotly plot
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Args:
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LIST: List of models to plot
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ALL: Either [] or ["Show All Models"] - toggle view to plot all models
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NAMES: Either [] or ["Show Names"] - toggle view to show model names on plot
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LEGEND: Either [] or ["Show Legend"] - toggle view to show legend on plot
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Returns:
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Fig: plotly figure
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'''
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color_discrete_map={"category1": "blue", "category2": "red"},
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hover_name=list_columns[0], template="plotly_white")
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if not LEGEND:
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fig.update_layout(showlegend=False)
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fig.update_layout(
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xaxis_title='% Played',
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yaxis_title='Quality Score',
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# ['Model', 'Clemscore', 'All(Played)', 'All(Quality Score)']
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def compare_plots(df: pd.DataFrame, LIST1: list, LIST2: list, ALL:list, NAMES:list, LEGEND: list):
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'''
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Quality Score v/s % Played plot by selecting models
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Args:
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LIST1: The list of open source models to show in the plot, updated from frontend
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LIST2: The list of commercial models to show in the plot, updated from frontend
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ALL: Either [] or ["Show All Models"] - toggle view to plot all models
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NAMES: Either [] or ["Show Names"] - toggle view to show model names on plot
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LEGEND: Either [] or ["Show Legend"] - toggle view to show legend on plot
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Returns:
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fig: The plot
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'''
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# Combine lists for Open source and commercial models
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LIST = LIST1 + LIST2
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fig = plotly_plot(df, LIST, ALL, NAMES, LEGEND)
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return fig
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