jarajpu commited on
Commit
4c974b2
·
1 Parent(s): 6b23196

Updating repo for leads

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -383,7 +383,7 @@ ADMIN_PASSPHRASE = "admin123"
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  def fetch_latest_predictions(match_id):
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  # Load the dataset. Adjust "split" to "train" or appropriate if "predictions" is a configuration.
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- dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", "predictions", split='train')
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  # Convert the dataset to a pandas DataFrame
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  df = pd.DataFrame(dataset)
@@ -412,7 +412,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
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  outcomes = load_data(OUTCOMES_JSON) # Load existing match outcomes
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  # Load existing match outcomes and user data from the test split
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- dataset = load_dataset("Jay-Rajput/DIS_IPL_Dataset", "leaders", split='train')
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  users = pd.DataFrame(dataset)
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  # Directly update or add the match outcome
@@ -445,7 +445,7 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match):
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  users.to_json(USERS_JSON)
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  # Convert the updated DataFrame back to a Hugging Face Dataset and push updates
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  updated_dataset = Dataset.from_pandas(users)
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- updated_dataset.push_to_hub("Jay-Rajput/DIS_IPL_Dataset")
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  with st.sidebar:
 
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  def fetch_latest_predictions(match_id):
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  # Load the dataset. Adjust "split" to "train" or appropriate if "predictions" is a configuration.
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+ dataset = load_dataset("Jay-Rajput/DIS_IPL_Preds")
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  # Convert the dataset to a pandas DataFrame
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  df = pd.DataFrame(dataset)
 
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  outcomes = load_data(OUTCOMES_JSON) # Load existing match outcomes
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  # Load existing match outcomes and user data from the test split
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+ dataset = load_dataset("Jay-Rajput/DIS_IPL_Leads")
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  users = pd.DataFrame(dataset)
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  # Directly update or add the match outcome
 
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  users.to_json(USERS_JSON)
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  # Convert the updated DataFrame back to a Hugging Face Dataset and push updates
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  updated_dataset = Dataset.from_pandas(users)
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+ updated_dataset.push_to_hub("Jay-Rajput/DIS_IPL_Leads")
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  with st.sidebar: