CultriX commited on
Commit
d0f351b
·
verified ·
1 Parent(s): a2a0f97

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -153,7 +153,7 @@ def fetch_merge_configs(df):
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  df_sorted = df.sort_values(by='Average', ascending=False)
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  # Open the file in append mode
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- with open('configurations.txt', 'a') as file:
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  # Get model cards for the top 20 entries
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  for index, row in df_sorted.head(20).iterrows():
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  model_name = row['Model'].rstrip()
@@ -167,7 +167,7 @@ def fetch_merge_configs(df):
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  file.write(f'Model Card: {card}\n')
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  # Open the second file in read mode
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- with open('configurations.txt', 'r') as file:
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  # Read the content
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  content = file.read()
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@@ -175,7 +175,7 @@ def fetch_merge_configs(df):
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  matches = re.findall(r'yaml(.*?)```', content, re.DOTALL)
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  # Open the file 'configurations2.txt' in write mode
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- with open('configurations2.txt', 'w') as file:
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  # Write the matches to the file
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  for row, match in zip(df_sorted[['Model', 'Average', 'AGIEval', 'GPT4All', 'TruthfulQA', 'Bigbench']].head(20).values, matches):
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  file.write(f'Model Name: {row[0]}\n')
@@ -371,7 +371,7 @@ def main():
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  df_sorted = df.sort_values(by='Average', ascending=False)
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  # Open the file in append mode
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- with open('configurations.txt', 'a') as file:
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  # Get model cards for the top 20 entries
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  for index, row in df_sorted.head(20).iterrows():
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  model_name = row['Model'].rstrip()
 
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  df_sorted = df.sort_values(by='Average', ascending=False)
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  # Open the file in append mode
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+ with open('/tmp/configurations.txt', 'a') as file:
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  # Get model cards for the top 20 entries
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  for index, row in df_sorted.head(20).iterrows():
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  model_name = row['Model'].rstrip()
 
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  file.write(f'Model Card: {card}\n')
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  # Open the second file in read mode
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+ with open('/tmp/configurations.txt', 'r') as file:
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  # Read the content
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  content = file.read()
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  matches = re.findall(r'yaml(.*?)```', content, re.DOTALL)
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  # Open the file 'configurations2.txt' in write mode
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+ with open('/tmp/configurations2.txt', 'w') as file:
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  # Write the matches to the file
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  for row, match in zip(df_sorted[['Model', 'Average', 'AGIEval', 'GPT4All', 'TruthfulQA', 'Bigbench']].head(20).values, matches):
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  file.write(f'Model Name: {row[0]}\n')
 
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  df_sorted = df.sort_values(by='Average', ascending=False)
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  # Open the file in append mode
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+ with open('/tmp/configurations.txt', 'a') as file:
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  # Get model cards for the top 20 entries
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  for index, row in df_sorted.head(20).iterrows():
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  model_name = row['Model'].rstrip()