""" App
"""

import gradio as gr
import time
import os
import torch
import spaces
from diffusers import StableDiffusionInstructPix2PixPipeline, EulerAncestralDiscreteScheduler
from diffusers.utils import load_image

device = "cuda" if torch.cuda.is_available() else "cpu"
model_repo_id = "timbrooks/instruct-pix2pix"

if torch.cuda.is_available():
    torch_dtype = torch.float16
else:
    torch_dtype = torch.float32

pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
    model_repo_id, 
    torch_dtype=torch_dtype, 
    safety_checker=None
)
pipe = pipe.to(device)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

@spaces.GPU
def greet(name):
    return "Hello there {}".format(name)
# comment updated 2
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()