Update app.py

app.py

@@ -21,6 +21,51 @@ GITHUB_PAT = os.environ['GITHUB']
 if not os.path.exists('repo_directory'):  
     Repo.clone_from(f'https://tracinginsights:{GITHUB_PAT}@github.com/TracingInsights/F1_app.git', 'repo_directory'  )
 
+
+import streamlit as st
+from repo_directory import main 
+
+import pandas as pd
+
+YEAR_SELECTED = st.selectbox(
+    'Select Year',
+    (2023, 2022, 2021, 2020, 2019, 2018))
+
+RACE_SELECTED = st.selectbox(
+    'Select Race',
+    (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23))
+
+SESSION_SELECTED = st.selectbox(
+    'Select Session',
+    ('FP1', 'FP2', 'FP3', 'Q', 'SQ', 'R'))
+
+laps_with_weather, weather_data, f1session = main.get_laps_with_weather(YEAR_SELECTED, RACE_SELECTED, SESSION_SELECTED)
+laps_with_weather.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv')
+st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv'))
+with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv') as f:
+    st.download_button('Click to Download LapTimes Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}.csv') 
+
+
+
+
+weather_data.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv')
+st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv'))
+
+with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv') as f:
+    st.download_button('Click to Download Weather Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-weather.csv') 
+
+telemetry = main.get_pos_car_data(f1session)
+
+
+
+telemetry.to_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv')
+st.dataframe(pd.read_csv(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv'))
+
+
+with open(f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv') as f:
+   st.download_button('Click to Download Telemetry Data', f, file_name=f'{YEAR_SELECTED}-{RACE_SELECTED}-{SESSION}-Tel.csv') 
+
+
 # from repo_directory.st_functions import st_button, load_css