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Update app.py
Browse files
app.py
CHANGED
@@ -21,6 +21,9 @@ def get_data(verified, dataset, ipc, label_type, metric_weights=None):
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data = data[data["ipc"] == ipc]
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data = data[data["label_type"].apply(lambda x: x in label_type)]
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# create a new column for the score
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data["score"] = data[METRICS[0].lower()] * 0.0
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for i, metric in enumerate(METRICS):
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@@ -45,6 +48,7 @@ def get_data(verified, dataset, ipc, label_type, metric_weights=None):
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with gr.Blocks() as leaderboard:
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gr.Markdown(LEADERBOARD_INTRODUCTION)
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verified = gr.Checkbox(
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@@ -61,8 +65,8 @@ with gr.Blocks() as leaderboard:
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)
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ipc = gr.Radio(
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label="IPC",
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choices=
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value=
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interactive=True,
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info=IPC_INFO
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)
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@@ -82,12 +86,15 @@ with gr.Blocks() as leaderboard:
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{'left': '\\[', 'right': '\\]', 'display': True}
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])
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metric_sliders = []
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for metric in METRICS:
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-
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adjust_btn = gr.Button("Adjust Weights")
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metric_weights = [s.value for s in metric_sliders]
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board = gr.components.Dataframe(
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value=get_data(verified.value, dataset.value, ipc.value, label.value, metric_weights),
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headers=COLUMN_NAMES,
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@@ -100,7 +107,7 @@ with gr.Blocks() as leaderboard:
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for component in [verified, dataset, ipc, label]:
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component.change(lambda v, d, i, l, *m: gr.components.Dataframe(
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value=get_data(v, d, i, l, [
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITLE_TYPE,
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@@ -109,8 +116,16 @@ with gr.Blocks() as leaderboard:
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max_height=500,
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), inputs=[verified, dataset, ipc, label] + metric_sliders, outputs=board)
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adjust_btn.click(fn=lambda v, d, i, l, *m: gr.components.Dataframe(
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value=get_data(v, d, i, l, [
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITLE_TYPE,
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data = data[data["ipc"] == ipc]
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data = data[data["label_type"].apply(lambda x: x in label_type)]
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if len(data) == 0:
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return pd.DataFrame(columns=COLUMN_NAMES)
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# create a new column for the score
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data["score"] = data[METRICS[0].lower()] * 0.0
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for i, metric in enumerate(METRICS):
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with gr.Blocks() as leaderboard:
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gr.HTML(LEADERBOARD_HEADER)
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gr.Markdown(LEADERBOARD_INTRODUCTION)
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verified = gr.Checkbox(
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)
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ipc = gr.Radio(
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label="IPC",
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choices=DATASET_IPC_LIST[dataset.value],
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value=DATASET_IPC_LIST[dataset.value][0],
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interactive=True,
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info=IPC_INFO
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)
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{'left': '\\[', 'right': '\\]', 'display': True}
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])
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metric_sliders = []
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# for metric in METRICS:
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# metric_sliders.append(gr.Slider(label=f"Weight for {metric}", minimum=0.0, maximum=1.0, value=0.5, interactive=True))
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metric_sliders.append(
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gr.Slider(label=f"Weight for HLR", minimum=0.0, maximum=1.0, value=0.5, interactive=True))
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adjust_btn = gr.Button("Adjust Weights")
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# metric_weights = [s.value for s in metric_sliders]
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metric_weights = [metric_sliders[0].value, 1.0 - metric_sliders[0].value]
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board = gr.components.Dataframe(
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value=get_data(verified.value, dataset.value, ipc.value, label.value, metric_weights),
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headers=COLUMN_NAMES,
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for component in [verified, dataset, ipc, label]:
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component.change(lambda v, d, i, l, *m: gr.components.Dataframe(
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value=get_data(v, d, i, l, [m[0], 1.0 - m[0]]),
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITLE_TYPE,
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max_height=500,
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), inputs=[verified, dataset, ipc, label] + metric_sliders, outputs=board)
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dataset.change(lambda d, i: gr.Radio(
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label="IPC",
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choices=DATASET_IPC_LIST[d],
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value=i if i in DATASET_IPC_LIST[d] else DATASET_IPC_LIST[d][0],
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interactive=True,
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info=IPC_INFO
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), inputs=[dataset, ipc], outputs=ipc)
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adjust_btn.click(fn=lambda v, d, i, l, *m: gr.components.Dataframe(
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value=get_data(v, d, i, l, [m[0], 1.0 - m[0]]),
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headers=COLUMN_NAMES,
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type="pandas",
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datatype=DATA_TITLE_TYPE,
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