#!/usr/bin/env python3

import streamlit as st


#from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
#import torch
#
#repo_id = "stabilityai/stable-diffusion-2-base"
# pipe = DiffusionPipeline.from_pretrained(
#    repo_id, torch_dtype=torch.float16, revision="fp16")
#
#pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
#pipe = pipe.to("cuda")
#
#prompt = "High quality photo of an astronaut riding a horse in space"
#image = pipe(prompt, num_inference_steps=25).images[0]
# image.save("astronaut.png")


x = st.slider('Select a value')
st.write(x, 'squared is', x * x)