import streamlit as st

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

from diffusers import DiffusionPipeline
import torch

pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")


# if using torch < 2.0
# pipe.enable_xformers_memory_efficient_attention()

prompt = "An astronaut riding a green horse"

images = pipe(prompt=prompt).images[0]

#print("hello")

"""
import json
import requests
API_URL = "https://api-inference.huggingface.co/models/gpt2"
token = "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"
headers = {"Authorization": f"Bearer {token}"}
def query(payload):
    data = json.dumps(payload)
    response = requests.request("POST", API_URL, headers=headers, data=data)
    return json.loads(response.content.decode("utf-8"))
data = query("Can you please let us know more details about your ")
print(data)
"""