# from repo_directory import button
# import streamlit as st
# from repo_directory import Race_Trace
# import pandas as pd
# import kaggle
# import os


# kaggle.api.authenticate()
# kaggle.api.dataset_download_files('jtrotman/formula-1-race-events', path='formula-1-race-events', unzip=True)
    

# Race_Trace.get_latest_ergast()

# # select year
# race_names_df = pd.read_csv("ergast/races.csv")
# available_years = race_names_df.year.unique().tolist()
# available_years.sort(reverse=True)
# YEAR_SELECTED = st.selectbox(
#     'Select year',
#     available_years)


# # select race
# available_races = race_names_df[race_names_df.year == YEAR_SELECTED].name.tolist()


# RACE_SELECTED = st.selectbox(
#     'Select Race',
#     available_races)

# SELECTED_RACEID = race_names_df[
#     (race_names_df.year == YEAR_SELECTED) & (race_names_df.name == RACE_SELECTED)
# ].raceId.values[0]

# Race_Trace.plot(SELECTED_RACEID, YEAR_SELECTED)