import gradio as gr
import os
import gradio_leaderboard

SPACE_REPO_ID = "optimum/llm-perf-leaderboard"

hf_token = os.environ.get("HF_TOKEN")
if not hf_token:
    try:
        import getpass
        hf_token = getpass.getpass("Enter your Hugging Face token (input hidden): ")
    except Exception:
        hf_token = input("Enter your Hugging Face token: ")

if not hf_token:
    print("[ERROR] Hugging Face token is required. Set HF_TOKEN env variable or enter it when prompted.")
    exit(1)

remote_space = None
load_error = None
try:
    remote_space = gr.load(f"spaces/{SPACE_REPO_ID}", hf_token=hf_token)
except Exception as e:
    load_error = str(e)
    print(f"[ERROR] Failed to load remote Space: {load_error}")

with gr.Blocks() as demo:
    gr.Markdown(f"# Embedded Space: {SPACE_REPO_ID}")
    if remote_space is not None:
        remote_space.render()
    else:
        gr.Markdown(f"**Failed to load remote Space.**\n\nError: {load_error}")

if __name__ == "__main__":
    demo.launch()