import gradio as gr
import os

api_key = os.environ.get("HUGGINGFACE_API_KEY")

model_list = [
    "stabilityai/stable-diffusion-xl-base-0.9",
    "stabilityai/stable-diffusion-2-1",
    "stabilityai/stable-diffusion-xl-refiner-0.9",
    "stabilityai/stable-diffusion-2-1-base",
    "stabilityai/stable-diffusion-2",
    "stabilityai/stable-diffusion-2-inpainting",
    "stabilityai/stable-diffusion-x4-upscaler",
    "stabilityai/stable-diffusion-2-depth",
    "stabilityai/stable-diffusion-2-base",
    "stabilityai/stable-diffusion-2-1-unclip",
    "helenai/stabilityai-stable-diffusion-2-1-base-ov",
    "helenai/stabilityai-stable-diffusion-2-1-ov",
    "stabilityai/stable-diffusion-2-1-unclip-small"
]

default_model = "stabilityai/stable-diffusion-2"
model_name = gr.inputs.Dropdown(model_list, label="Select Model", default=default_model)
model = None

def load_model(model_name):
    global model
    model = gr.Interface.load(model_name, api_key=api_key)

def predict(inputs):
    return model.predict(inputs)

iface = gr.Interface(
    fn=predict,
    inputs=model,
    outputs="text",
    capture_session=True,
    title="Model Selection App",
    description="Choose a model and input data to make predictions."
)

load_model(default_model)  # Load the default model initially

iface.launch()