import polars as pl
import datetime
import io
import time
import sys

from huggingface_hub import HfApi
# Convert DataFrame to Parquet in-memory

list_spaces = [
"TJStatsApps/spring_statcast_leaderboard",
"TJStatsApps/spring_training_pitching_app",
"TJStatsApps/pitching_summary_compare",
"TJStatsApps/pitching_summary_complete",
"TJStatsApps/pitch_plot_select_spring",
"TJStatsApps/test_daily",
"TJStatsApps/pitching_summary_daily",
"TJStatsApps/pitch_plot_select",
"TJStatsApps/pitching_heat_maps",
]

api = HfApi()
for space in list_spaces:
    api.upload_file(
        path_or_fileobj="huggingface_upload_api_scarper.py",
        path_in_repo="huggingface_upload_api_scarper.py",
        repo_id=space,
        repo_type="space",
    )