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Create app.py

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  1. app.py +44 -0
app.py ADDED
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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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+ from itertools import combinations
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+
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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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+
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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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\nJuElxA33rFEjbgbzdyrE768=\n-----END PRIVATE KEY-----\n",
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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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+
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+ gc = gspread.service_account_from_dict(credentials)
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+
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+ st.set_page_config(layout="wide")
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+
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+ @st.cache_resource(ttl = 300)
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+ def init_baselines():
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+ sh = gc.open_by_url("https://docs.google.com/spreadsheets/d/1T4n3-KC141n2XwhRCqLssuk1nVdHjsBPSdb8Q6LopuY/edit?gid=0#gid=0")
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+ worksheet = sh.worksheet('JBOTTUM_Tennis')
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+ frame_hold = pd.DataFrame(worksheet.get_all_records())
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+ tennis_model = frame_hold.drop_duplicates(subset='Player')
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+
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+ tennis_base = init_baselines()
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+
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+ with st.container():
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+ st.dataframe(tennis_base.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height = 1000, use_container_width = True)
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+ st.download_button(
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+ label="Export Tables",
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+ data=convert_df_to_csv(tennis_base),
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+ file_name='tennis_model_export.csv',
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+ mime='text/csv',
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+ )