Adam Jirkovsky commited on
Commit
465544f
·
1 Parent(s): 5640f26

Revert changes in link rendering

Browse files
Files changed (2) hide show
  1. app.py +0 -11
  2. src/populate.py +1 -2
app.py CHANGED
@@ -150,16 +150,6 @@ def validate_upload(input):
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  #raise gr.Error("Cannot divide by zero!")
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  except:
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  raise gr.Error("Cannot parse file")
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-
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-
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- def create_links(row):
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- eval_name = row["eval_name"]
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- if row['hf_model_id'] is not None:
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- if row['hf_model_id'] != "":
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- eval_name = gr.Markdown(f"[{row['eval_name']}]({row['hf_model_id']})")
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- return eval_name
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-
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-
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@@ -225,7 +215,6 @@ with demo:
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  + shown_columns.value
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  ],
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- value["eval_name"] = value.apply(create_links)
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  headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
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  datatype=TYPES,
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  elem_id="leaderboard-table",
 
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  #raise gr.Error("Cannot divide by zero!")
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  except:
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  raise gr.Error("Cannot parse file")
 
 
 
 
 
 
 
 
 
 
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  + shown_columns.value
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  ],
 
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  headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden] + shown_columns.value,
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  datatype=TYPES,
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  elem_id="leaderboard-table",
src/populate.py CHANGED
@@ -3,7 +3,7 @@ import os
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  import numpy as np
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  import pandas as pd
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- from src.display.formatting import has_no_nan_values, make_clickable_model, model_hyperlink
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  from src.display.utils import AutoEvalColumn, EvalQueueColumn
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  from src.leaderboard.read_evals import get_raw_eval_results
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@@ -17,7 +17,6 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
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  df.replace(r'\s+', np.nan, regex=True)
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  # filter out if any of the benchmarks have not been produced
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  df = df[has_no_nan_values(df, benchmark_cols)]
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- #df["eval_name"] = f"[{df['eval_name']}]({df['hf_model_id']})"
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  return raw_data, df
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  import numpy as np
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  import pandas as pd
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+ from src.display.formatting import has_no_nan_values, make_clickable_model
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  from src.display.utils import AutoEvalColumn, EvalQueueColumn
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  from src.leaderboard.read_evals import get_raw_eval_results
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  df.replace(r'\s+', np.nan, regex=True)
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  # filter out if any of the benchmarks have not been produced
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  df = df[has_no_nan_values(df, benchmark_cols)]
 
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  return raw_data, df
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