app.py

import streamlit as st
import requests
import io
from PIL import Image
import os

hf_token = os.environ.get("hf_token")
API_URL = "https://api-inference.huggingface.co/models/xinsir/controlnet-union-sdxl-1.0"
headers = {"Authorization": f"Bearer hf_token"}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.content

st.title("text to image model")
st.write("Enter a prompt")
model = st.selectbox(
  "choose model",
  ("stable diffusion")

)
prompt = st.text_input("Enter prompt")

if prompt:
  if model == "stable diffusion":
    API_URL = API_URL_SD
  image_bytes = query({
	"inputs": prompt,
  })
  st.image(image_bytes, caption="Generated image")
  st.info("Image generated successfully")