import os
import uuid

import gradio as gr

from helper.gradio_config import css, theme
from helper.text.text_app import TextApp
# from helper.utils import TrafficDataHandler
# from tabs.htr_tool import htr_tool_tab
# from tabs.overview_tab import overview
# from tabs.stepwise_htr_tool import stepwise_htr_tool_tab

session_uuid = str(uuid.uuid1())

with gr.Blocks(title="Riksarkivet", theme=theme, css=css) as demo:
    gr.Markdown("<h1 style='color: red;'> 🚨 The HTRFlow Demo is currently not available 🚨 </h1>")
    with gr.Row():
        with gr.Column(scale=1):
            text_ip_output = gr.Markdown(TextApp.demo_version)
        with gr.Column(scale=2):
            gr.Markdown(TextApp.title_markdown)
        with gr.Column(scale=1):
            gr.Markdown(TextApp.title_markdown_img)

    with gr.Tabs():

        with gr.Tab("HTRflow"):
            gr.Markdown("")
            gr.Markdown("<h1 style='color: red;'> 🚧 The HTRFlow Demo is currently not available. We plan to re-launch an updated version in February 2025 🚧 </h1>")

            gr.Markdown("In the meantime, see the [HTRflow 📄](https://ai-riksarkivet.github.io/htrflow/latest/)")
    #     with gr.Tab("Overview"):
    #         overview.render()
        
    #     with gr.Tab("Fast track", interactive=False):
    #         htr_tool_tab.render()

    #     with gr.Tab("Stepwise", interactive=False):
    #         stepwise_htr_tool_tab.render()



    #     with gr.Tab("How to use"):
    #         with gr.Row():
    #             with gr.Column():
    #                 gr.Markdown("## Fast track")
    #                 gr.Video(
    #                     value="https://github.com/Borg93/htr_gradio_file_placeholder/raw/main/fast_track_record1.mp4",
    #                     format="mp4",
    #                 )
    #             with gr.Column():
    #                 gr.Markdown("## Stepwise")
    #                 gr.Video(
    #                     "https://github.com/Borg93/htr_gradio_file_placeholder/raw/main/stepwise_track_record1.mp4",
    #                     format="mp4",
    #                 )

    # SECRET_KEY = os.environ.get("HUB_TOKEN", False)
    # if SECRET_KEY:
    #     demo.load(
    #         fn=TrafficDataHandler.onload_store_metric_data,
    #         inputs=None,
    #         outputs=None,
    #     )


demo.queue(concurrency_count=2, max_size=2)


if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False, show_error=False)