# imports from gradio_demo.py
import gradio as gr 
import numpy as np
from PIL import Image
import torch 
from torchvision.transforms import ToTensor, ToPILImage
import sys
import os
from midi_player import MIDIPlayer
from midi_player.stylers import basic, cifka_advanced, dark
import numpy as np 
from time import sleep
from subprocess import call
import pandas as pd

# imports from sample.py
import argparse
from pathlib import Path
import accelerate
import safetensors.torch as safetorch
#import torch
from tqdm import trange, tqdm
#from PIL import Image
from torchvision import transforms
import k_diffusion as K


def greet(name):
    return "Hello " + name + "!!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()