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#------------------------------------------------------------------------
# Import
#------------------------------------------------------------------------
import streamlit as st
import requests
from PIL import Image
import io
import os
#------------------------------------------------------------------------
# HF API
#------------------------------------------------------------------------
# Retrieve the HF API key from environment variables
hf_api_key = os.getenv('HF_API_KEY')
if not hf_api_key:
raise ValueError("HF_API_KEY not set in environment variables")
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
headers = {"Authorization": f"Bearer {hf_api_key}"}
#------------------------------------------------------------------------
# Define functions
#------------------------------------------------------------------------
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
if response.status_code != 200:
st.error(f"Error: {response.status_code} - {response.text}")
return None
return response.content
def generate_image(prompt):
image_bytes = query({"inputs": prompt})
if image_bytes:
return Image.open(io.BytesIO(image_bytes))
return None
def main():
st.title("Stable Diffusion XL 1.0")
prompt = st.text_input("Enter a prompt for image generation:")
if st.button("Generate Image"):
if prompt:
image = generate_image(prompt)
if image:
st.image(image, caption="Generated Image")
else:
st.warning("Please enter a prompt.")
#------------------------------------------------------------------------
# Main Guard
#------------------------------------------------------------------------
if __name__ == "__main__":
main() |