import gradio as gr
from gradio_log import Log

from pipeline import run

log_file = "out-file.txt"


def run():
    import subprocess
    import sys

    with open("out-file.txt", "w") as f:
        proc = subprocess.Popen(
            [f"{sys.executable}", "pipeline.py", "burtenshaw/yoga_nistra"],
            stdout=subprocess.PIPE,
        )

    content = ""

    for line in proc.stdout:
        content = content.split("\n")
        content.append(line.decode("utf-8"))
        content = content[-10:]
        content = "\n".join(content)
        yield content


import gradio as gr
from huggingface_hub import whoami


def hello(profile: gr.OAuthProfile | None) -> str:
    if profile is None:
        return "I don't know you."
    return f"Hello {profile.name}"


def list_organizations(oauth_token: gr.OAuthToken | None) -> str:
    if oauth_token is None:
        return "Please log in to list organizations."
    org_names = [org["name"] for org in whoami(oauth_token.token)["orgs"]]
    return f"You belong to {', '.join(org_names)}."


with gr.Blocks() as demo:
    gr.LoginButton()
    m1 = gr.Markdown()
    m2 = gr.Markdown()
    demo.load(hello, inputs=None, outputs=m1)
    demo.load(list_organizations, inputs=None, outputs=m2)

    button = gr.Button("Run pipeline")
    output = gr.Code(label="Terminal output", interactive=False)
    button.click(run, outputs=output)

demo.launch()