Allowing 0 bid points

app.py

@@ -12,7 +12,6 @@ from datasets import Dataset, load_dataset
 from huggingface_hub import CommitScheduler
 
 # File paths as constants
-PREDICTIONS_CSV = 'dis_predictions.csv'
 USERS_JSON = 'leaders/users.json'
 MATCHES_JSON = 'matches.json'
 OUTCOMES_JSON = 'match_outcomes.json'
@@ -60,16 +59,6 @@ scheduler = CommitScheduler(
 )
 
 
-# Initialize CSV and JSON files if they don't exist
-def initialize_files():
-    # Initialize predictions CSV
-    try:
-        pd.read_csv(PREDICTIONS_CSV)
-    except FileNotFoundError:
-        df = pd.DataFrame(columns=['user_name', 'match_id', 'predicted_winner', 'predicted_motm', 'bid_points'])
-        df.to_csv(PREDICTIONS_CSV, index=False)
-
-
 def load_data(file_path):
     """
     Load data from a JSON or CSV file.
@@ -136,13 +125,6 @@ def is_submission_allowed(match_id):
     return False  # If match_id not found, default to False
 
 
-def load_predictions(PREDICTIONS_CSV):
-    try:
-        return pd.read_csv(PREDICTIONS_CSV)
-    except FileNotFoundError:
-        return pd.DataFrame()
-
-
 # Submit prediction function
 def submit_prediction(
         user_name,
@@ -259,7 +241,7 @@ def user_selection_and_prediction():
             players = player_list[predicted_winner]
             predicted_motm = st.selectbox("Predicted Man of the Match", players)
 
-        bid_points = st.number_input("Bid Points", min_value=1, value=100, format="%d")
+        bid_points = st.number_input("Bid Points", min_value=0, value=100, format="%d")
 
         if st.button("Submit Prediction"):
             submit_prediction(user_name, match_id, predicted_winner, predicted_motm, bid_points, max_bid_points)
@@ -466,6 +448,9 @@ def update_leaderboard_and_outcomes(match_id, winning_team, man_of_the_match, ou
             else:
                 # Deduct 1000 points for not submitting a prediction
                 user_points -= 1000
+                
+            if user_points < 0:
+                user_points = 0
 
             # Update user's points in the DataFrame
             users_df[user_name][0]['0'] = user_points

dis_predictions.csv

@@ -1,11 +0,0 @@
-user_name,match_id,predicted_winner,predicted_motm,bid_points
-Sunil,20240325_6,RCB,Glenn Maxwell,900
-Sahil,20240325_6,RCB,Virat Kohli,350
-Vinay,20240325_6,RCB,Faf du Plessis,200
-Megha,20240325_6,RCB,Virat Kohli,500
-Jay,20240325_6,RCB,Virat Kohli,200
-Sai,20240325_6,RCB,Glenn Maxwell,620
-Haaris,20240325_6,RCB,Virat Kohli,1200
-Naveein,20240325_6,RCB,Faf du Plessis,500
-Praveen,20240325_6,RCB,Faf du Plessis,1800
-Kishore,20240325_6,RCB,Glenn Maxwell,500

predictions.csv

@@ -1,33 +0,0 @@
-user_name,match_id,predicted_winner,predicted_motm,bid_points
-Sahil,20240322_1,CSK,Ruturaj Gaikwad,250
-Naveein,20240322_1,CSK,Rachin Ravindra,1000
-Ganesh,20240322_1,CSK,Ruturaj Gaikwad,300
-Jay,20240322_1,CSK,Ruturaj Gaikwad,500
-Megha,20240322_1,RCB,Virat Kohli,500
-Arpit,20240322_1,CSK,Ravindra Jadeja,1000
-Sunil,20240322_1,RCB,Virat Kohli,299
-Praveen,20240322_1,CSK,Ravindra Jadeja,1000
-Vinay,20240322_1,CSK,Rachin Ravindra,216
-Kichu,20240322_1,CSK,MS Dhoni,500
-Haaris,20240322_1,CSK,MS Dhoni,500
-Rakesh,20240322_1,CSK,MS Dhoni,500
-Megha,20240323_2,DC,Rishabh Pant,200
-Arpit,20240323_2,DC,David Warner,500
-Sahil,20240323_2,DC,Mitchell Marsh,250
-Sai,20240323_2,DC,Rishabh Pant,200
-Neha,20240323_2,DC,Rishabh Pant,500
-Ganesh,20240323_2,DC,Axar Patel,350
-Vinay,20240323_2,DC,David Warner,516
-Megha,20240323_3,KKR,Rinku Singh,200
-Arpit,20240323_3,KKR,Andre Russell,500
-Sahil,20240323_3,KKR,Phil Salt,350
-Sai,20240323_3,SRH,Pat Cummins,300
-Naveein,20240323_3,SRH,Travis Head,500
-Haaris,20240323_3,SRH,Travis Head,300
-Vaibhav,20240323_3,KKR,Mitchell Starc,300
-Neha,20240323_3,KKR,Rinku Singh,300
-Vinay,20240323_3,SRH,Pat Cummins,100
-Sunil,20240325_6,RCB,Glenn Maxwell,900
-Sahil,20240325_6,RCB,Virat Kohli,350
-Vinay,20240325_6,RCB,Faf du Plessis,200
-Megha,20240325_6,RCB,Virat Kohli,500