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Update app.py
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app.py
CHANGED
@@ -80,11 +80,11 @@ def calculate_selected_score(df, selected_columns):
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selected_SEMANTIC = [i for i in selected_columns if i in SEMANTIC_LIST]
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selected_quality_score = df[selected_QUALITY].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_QUALITY])
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selected_semantic_score = df[selected_SEMANTIC].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_SEMANTIC ])
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if selected_quality_score
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return selected_semantic_score
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if selected_semantic_score
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return selected_quality_score
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print(selected_semantic_score,selected_quality_score )
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selected_score = (selected_quality_score * QUALITY_WEIGHT + selected_semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
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return selected_score
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@@ -142,16 +142,16 @@ def convert_scores_to_percentage(df):
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return df
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def choose_all_quailty():
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return gr.update(
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def choose_all_semantic():
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return gr.update(
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def disable_all():
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return gr.update(
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def enable_all():
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return gr.update(
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def on_filter_model_size_method_change(selected_columns):
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updated_data = get_all_df(selected_columns)
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@@ -197,19 +197,20 @@ with block:
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TABLE_INTRODUCTION
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)
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with gr.Row():
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with gr.Column():
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choosen_q = gr.Button("Select ALL Quality")
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choosen_s = gr.Button("Select ALL Semantic")
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enable_b = gr.Button("Select All")
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disable_b = gr.Button("Deselect All")
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data_component = gr.components.Dataframe(
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value=get_baseline_df,
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selected_SEMANTIC = [i for i in selected_columns if i in SEMANTIC_LIST]
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selected_quality_score = df[selected_QUALITY].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_QUALITY])
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selected_semantic_score = df[selected_SEMANTIC].sum(axis=1)/sum([DIM_WEIGHT[i] for i in selected_SEMANTIC ])
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if selected_quality_score.isna().any().any():
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return selected_semantic_score
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if selected_semantic_score.isna().any().any():
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return selected_quality_score
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# print(selected_semantic_score,selected_quality_score )
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selected_score = (selected_quality_score * QUALITY_WEIGHT + selected_semantic_score * SEMANTIC_WEIGHT) / (QUALITY_WEIGHT + SEMANTIC_WEIGHT)
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return selected_score
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return df
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def choose_all_quailty():
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return gr.update(value=QUALITY_LIST), QUALITY_LIST
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def choose_all_semantic():
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return gr.update(value=SEMANTIC_LIST),SEMANTIC_LIST
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def disable_all():
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return gr.update(value=[]),[]
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def enable_all():
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return gr.update(value=TASK_INFO),TASK_INFO
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def on_filter_model_size_method_change(selected_columns):
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updated_data = get_all_df(selected_columns)
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TABLE_INTRODUCTION
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)
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with gr.Row():
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with gr.Column(scale=0.2):
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choosen_q = gr.Button("Select ALL Quality")
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choosen_s = gr.Button("Select ALL Semantic")
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enable_b = gr.Button("Select All")
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disable_b = gr.Button("Deselect All")
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with gr.Column(scale=0.8):
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# selection for column part:
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checkbox_group = gr.CheckboxGroup(
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choices=TASK_INFO,
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value=DEFAULT_INFO,
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label="Evaluation Dimension",
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interactive=True,
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)
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data_component = gr.components.Dataframe(
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value=get_baseline_df,
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