Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Update
Browse files
app.py
CHANGED
@@ -80,11 +80,9 @@ except Exception:
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try:
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ORIGINAL_DF = get_leaderboard_df(CONTENTS_REPO, COLS, BENCHMARK_COLS)
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-
MAX_MODEL_SIZE = ORIGINAL_DF["#Params (B)"].max()
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except Exception as e:
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print(f"Error getting leaderboard df: {e}")
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ORIGINAL_DF = pd.DataFrame()
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MAX_MODEL_SIZE = 0
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# Searching and filtering
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@@ -280,6 +278,7 @@ def plot_size_vs_score(df_filtered: pd.DataFrame) -> go.Figure:
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var_name="Category",
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value_name="Score",
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)
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fig = px.scatter(
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df,
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x="#Params (B)",
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@@ -295,7 +294,7 @@ def plot_size_vs_score(df_filtered: pd.DataFrame) -> go.Figure:
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for trace in fig.data:
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if trace.name != "AVG":
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trace.visible = "legendonly"
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-
fig.update_layout(xaxis_range=[0,
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fig.update_layout(
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updatemenus=[
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dict(
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try:
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ORIGINAL_DF = get_leaderboard_df(CONTENTS_REPO, COLS, BENCHMARK_COLS)
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except Exception as e:
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print(f"Error getting leaderboard df: {e}")
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ORIGINAL_DF = pd.DataFrame()
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# Searching and filtering
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var_name="Category",
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value_name="Score",
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)
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+
max_model_size = df["#Params (B)"].max()
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fig = px.scatter(
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df,
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x="#Params (B)",
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for trace in fig.data:
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if trace.name != "AVG":
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trace.visible = "legendonly"
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+
fig.update_layout(xaxis_range=[0, max_model_size * 1.2], yaxis_range=[0, 1])
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fig.update_layout(
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updatemenus=[
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dict(
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