Update app.py

app.py

@@ -22,28 +22,28 @@ 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.main import get_laps_with_weather
+# import streamlit as st
+# from repo_directory.main import get_laps_with_weather
 
-import pandas as pd
+# import pandas as pd
 
-YEAR_SELECTED = st.selectbox(
-    'Select Year',
-    (2023, 2022, 2021, 2020, 2019, 2018))
+# 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))
+# 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'))
+# SESSION_SELECTED = st.selectbox(
+#     'Select Session',
+#     ('FP1', 'FP2', 'FP3', 'Q', 'SQ', 'R'))
 
-laps_with_weather, weather_data, f1session = 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') 
+# laps_with_weather, weather_data, f1session = 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')