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Update app.py
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app.py
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import pulp
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import numpy as np
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import pandas as pd
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import streamlit as st
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import gspread
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# Define the scope and credentials for Google Sheets API
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scope = ['https://www.googleapis.com/auth/spreadsheets',
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credentials = {
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"client_email": "gspread-connection@sheets-api-connect-378620.iam.gserviceaccount.com",
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"client_id": "106625872877651920064",
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"auth_uri": "https://accounts.google.com/o/oauth2/auth",
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"token_uri": "https://oauth2.googleapis.com/token",
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"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/gspread-connection%40sheets-api-connect-378620.iam.gserviceaccount.com"
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}
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# Authenticate with Google Sheets API
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gc = gspread.service_account_from_dict(credentials)
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# Streamlit page configuration
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st.set_page_config(layout="wide")
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# Formats for displaying tables
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roo_format = {'Win%': '{:.2%}', 'Top_finish': '{:.2%}','Top_5_finish': '{:.2%}', 'Top_10_finish': '{:.2%}',
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'60+%': '{:.2%}','5x%': '{:.2%}','6x%': '{:.2%}','7x%': '{:.2%}','Own': '{:.2%}','LevX': '{:.2%}'}
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stat_format = {'Odds%': '{:.2%}'}
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table_format = {'Odds': '{:.2%}'}
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# Google Sheets URLs
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csgo_overall = 'CSGO_Overall_Proj'
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csgo_rpl = 'CSGO_RPL_Proj'
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csgo_neutral = 'CSGO_Neutral_Proj'
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csgo_wins = 'CSGO_Win_Proj'
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csgo_losses = 'CSGO_Loss_Proj'
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overall_odds = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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RPL_odds = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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csgo_bo1 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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two_map = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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csgo_bo3 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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csgo_bo5 = 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
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# Tokenize the input
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train_encodings = tokenizer(X_train_str, truncation=True, padding=True, max_length=512)
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test_encodings = tokenizer(X_test_str, truncation=True, padding=True, max_length=512)
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# Step 3: Create Dataset Class
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class CSGODataset(torch.utils.data.Dataset):
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def __init__(self, encodings, labels):
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self.encodings = encodings
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self.labels = labels
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def __getitem__(self, idx):
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item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}
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item['labels'] = torch.tensor(self.labels[idx], dtype=torch.float)
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return item
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def __len__(self):
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return len(self.labels)
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# Create dataset objects
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train_dataset = CSGODataset(train_encodings, y_train.tolist())
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test_dataset = CSGODataset(test_encodings, y_test.tolist())
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# Step 4: Training the Model
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# Training arguments
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training_args = TrainingArguments(
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output_dir='./results',
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num_train_epochs=3,
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per_device_train_batch_size=16,
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per_device_eval_batch_size=64,
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warmup_steps=500,
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weight_decay=0.01,
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logging_dir='./logs',
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logging_steps=10,
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)
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# Trainer
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trainer = Trainer(
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model=model,
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args=training_args,
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train_dataset=train_dataset,
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eval_dataset=test_dataset,
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)
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# Train the model
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trainer.train()
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# Step 5: Evaluation
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results = trainer.evaluate()
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print(results)
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# Step 6: Deployment
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model.save_pretrained('./csgo_model')
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tokenizer.save_pretrained('./csgo_tokenizer')
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import numpy as np
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import pandas as pd
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import streamlit as st
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import gspread
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scope = ['https://www.googleapis.com/auth/spreadsheets',
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"https://www.googleapis.com/auth/drive"]
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credentials = {
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"type": "service_account",
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"project_id": "sheets-api-connect-378620",
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"private_key_id": "1005124050c80d085e2c5b344345715978dd9cc9",
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"private_key": "-----BEGIN PRIVATE KEY-----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\nycQprAKHJXM1eOOFFuZe
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