app.py

import gradio as gr
import jax
import numpy as np
import jax.numpy as jnp
from flax.jax_utils import replicate
from flax.training.common_utils import shard
from diffusers.utils import load_image
from PIL import Image
from diffusers import FlaxStableDiffusionControlNetPipeline, FlaxControlNetModel



#gr.Interface.load("models/tsungtao/controlnet-mlsd-202305011046").launch()
def infer(prompt, negative_prompt, image):
    # implement your inference function here
    return output_image

# you need to pass inputs and outputs according to inference function
gr.Interface(fn = infer, inputs = ["text", "text", "image"], outputs = "image").launch()