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Update app.py
Browse files
app.py
CHANGED
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@@ -978,25 +978,21 @@ with ui.navset_card_tab(id="tab"):
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ui.panel_title("Neurips stuff")
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with ui.card():
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-
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"param_type",
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"Select Param Type:",
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["14", "31", "70", "160"],
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multiple=True,
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selected=None
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)
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-
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with ui.card():
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model_type = ui.input_selectize(
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"model_type",
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"Select Model Type:",
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["pythia", "denseformer"],
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multiple=True,
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selected='pythia'
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)
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-
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with ui.card():
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loss_type = ui.input_selectize(
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"loss_type",
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"Select Loss Type:",
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["compliment", "cross_entropy", "headless"],
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@@ -1013,9 +1009,9 @@ with ui.navset_card_tab(id="tab"):
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df = pd.read_csv('results - denseformer.csv')
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filtered_df = df[
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(df["param_type"].isin(param_type()))
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& (df["model_type"].isin(model_type()))
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& (df["loss_type"].isin(loss_type()))
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]
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ui.panel_title("Neurips stuff")
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with ui.card():
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ui.input_selectize(
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"param_type",
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"Select Param Type:",
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["14", "31", "70", "160"],
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multiple=True,
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selected=None
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)
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ui.input_selectize(
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"model_type",
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"Select Model Type:",
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["pythia", "denseformer"],
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multiple=True,
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selected='pythia'
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)
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+
ui.input_selectize(
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"loss_type",
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"Select Loss Type:",
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["compliment", "cross_entropy", "headless"],
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df = pd.read_csv('results - denseformer.csv')
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filtered_df = df[
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(df["param_type"].isin(input.param_type()))
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& (df["model_type"].isin(input.model_type()))
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& (df["loss_type"].isin(input.loss_type()))
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]
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