import os
import json
import argparse
import copy

import numpy as np
import matplotlib.pyplot as plt
import torch
import tqdm
import librosa
import librosa.display
import soundfile as sf
import pyloudnorm as pyln
from dotmap import DotMap
import gradio as gr
import pytube as pt

from pytube.exceptions import VideoUnavailable

from utils import mp3_write, normalize

from models import load_model_with_args
from separate_func import (
    conv_tasnet_separate,
)
from utils import db2linear



def get_audio_from_yt_video(yt_link: str):
    try:
        yt = pt.YouTube(yt_link)
        t = yt.streams.filter(only_audio=True)
        filename = os.path.join(yt_video_dir, binascii.hexlify(os.urandom(8)).decode() + ".wav")
        t[0].download(filename=filename)
    except VideoUnavailable as e:
        warnings.warn(f"Video Not Found at {yt_link} ({e})")
        filename = None

    return filename, filename


def inference(file_uploaded_in, file_uploaded_ref):

    output_wav = None
    
    return output_wav


with gr.Blocks() as demo:
    gr.HTML(
        """
            <div style="text-align: center; max-width: 700px; margin: 0 auto;">
              <div
                style="
                  display: inline-flex;
                  align-items: center;
                  gap: 0.8rem;
                  font-size: 1.75rem;
                "
              >
                <h1 style="font-weight: 900; margin-bottom: 7px;">
                  Music Mixing Style Transfer
                </h1>
              </div>
              <p style="margin-bottom: 10px; font-size: 94%">
                Hugging Face interactive demo of the paper "Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects" (ICASSP 2023).<br>
                a
            </div>
        """
    )
    with gr.Group():
        with gr.Column():
            with gr.Blocks():
                with gr.Tab("Input Music"):
                    file_uploaded_in = gr.Audio(label="Input track (mix) to be mixing style transferred", type="filepath")
                with gr.Tab("YouTube url"):
                    with gr.Row():
                        yt_link_in = gr.Textbox(
                            label="Enter YouTube Link of the Video", autofocus=True, lines=3
                        )
                        yt_btn = gr.Button("Download Audio from YouTube Link", size="lg")
                    yt_audio_path = gr.Audio(
                        label="Input Audio Extracted from the YouTube Video", interactive=False
                    )
                    yt_btn.click(
                        get_audio_from_yt_video,
                        inputs=[yt_link_in],
                        outputs=[yt_audio_path, file_uploaded_in],
                    )
            with gr.Blocks():
                with gr.Tab("Reference Music"):
                    file_uploaded_ref = gr.Audio(label="Reference track (mix) to copy mixing style", type="filepath")
                with gr.Tab("YouTube url"):
                    with gr.Row():
                        yt_link_ref = gr.Textbox(
                            label="Enter YouTube Link of the Video", autofocus=True, lines=3
                        )
                        yt_btn = gr.Button("Download Audio from YouTube Link", size="lg")
                    yt_audio_path = gr.Audio(
                        label="Reference Audio Extracted from the YouTube Video", interactive=False
                    )
                    yt_btn.click(
                        get_audio_from_yt_video,
                        inputs=[yt_link_ref],
                        outputs=[yt_audio_path, file_uploaded_ref],
                    )

    with gr.Group():
        gr.HTML(
            """
            <div> <h3> <center> Mixing Style Transferred Output. </h3> </div>
            """
        )
        # with gr.Row().style(mobile_collapse=False, equal_height=True):
        with gr.Row():
            output_mix = gr.File(label="Download style transferred music track")
            generate_btn.click(
                inference,
                inputs=[file_uploaded_in, file_uploaded_ref],
                outputs=[wav_output],
            )


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