import os
from pathlib import Path
from threading import Thread
import gradio as gr
from huggingface_hub import upload_folder, login, delete_repo
import sys
import time
import subprocess


login(os.getenv("HF_TOKEN"))

# Where outputs from user script will be pushed to for safe keeping
output_dataset_id = "nateraw/asdf123"
# Where user will write outputs from their script
outputs_dir = Path('outputs')

# Watch python script's process to see when it's done running
process_pid = os.getenv('USER_SCRIPT_PID', None)
def process_is_complete():
    p = subprocess.Popen(['ps', '-p', process_pid], stdout=subprocess.PIPE)
    out = p.communicate()[0].decode('utf-8').strip().split('\n')
    return len(out) == 1

def status_checker():
    print("Watching PID of script to see if it is done running")
    while True:
        if process_is_complete():
            print("Process is complete! Uploading assets to output dataset repo")
            upload_folder(repo_id=output_dataset_id, folder_path=str(outputs_dir), path_in_repo='.', repo_type='dataset')
            print("Finished uploading outputs to dataset repo. Done!")
            return
        print("Didn't find it...sleeping for 5 seconds.")
        time.sleep(5)

with gr.Blocks() as demo:
    gr.Markdown(Path('about.md').read_text())


def main():
    thread = Thread(target=status_checker, daemon=True)
    thread.start()
    demo.launch()

if __name__ == '__main__':
    main()