app.py

import gradio as gr
from huggingface_hub import InferenceClient
# import requests
# import io
# from PIL import Image
# needed a change

import os
my_key=(os.getenv('my_write_token'))

first_client = InferenceClient(
    provider="hf-inference",
    api_key=my_key,
)

# output is a PIL.Image object
def generate_image_model_001(prompt):
    image = first_client.text_to_image(
        prompt,
        model="stabilityai/stable-diffusion-xl-base-1.0", 
    )
    return image

# second model definitions here
second_client = InferenceClient(
    provider="nebius",
    api_key=my_key,
)

def generate_image_model_002(prompt):
    image = second_client.text_to_image(
        prompt+". Add three old south asian cyclists in the background. Two of them are wearing helmets and one is not.",
        model="black-forest-labs/FLUX.1-dev", 
    )
    return image

my_interface=gr.Interface(
    fn=generate_image_model_002,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Image(type="pil", label="Generated Image"),
    title="Image Generation",
    description="Generate images from text prompts",
)

my_interface.launch(share=True)