import streamlit as st
import requests
import io
from PIL import Image
import os
from dotenv import load_dotenv
load_dotenv()

API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-cascade-prior"
HEADERS = {"Authorization": f"Bearer ${os.getenv('bearer_token')}"}

st.title("Image Generator with Diffusers")

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

prompt = st.text_input("Enter a prompt:", "batman hitting the griddy in gotham")

image_bytes = query({
	"inputs": prompt,
})
st.text(image_bytes)
# if(image_bytes):
#     image = Image.open(io.BytesIO(image_bytes))
#     st.image(image, caption="Image generated by the model", use_column_width=True)