app.py

import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")

import requests

API_URL = "https://api-inference.huggingface.co/models/Cacau/heart-of-painting"
headers = {"Authorization": "Bearer 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"}

def query(payload):
	response = requests.post(API_URL, headers=headers, json=payload)
	return response.content
image_bytes = query({
	"inputs": "Astronaut riding a horse",
})
# You can access the image with PIL.Image for example
import io
from PIL import Image
image = Image.open(io.BytesIO(image_bytes))
gr.Interface.load("models/runwayml/stable-diffusion-v1-5").launch()
iface.launch()