app.py

import gradio as gr
from huggingface_hub import InferenceClient

# List of models and their corresponding names
models = [
    "CompVis/stable-diffusion-v1-4",
    "runwayml/stable-diffusion-v1-5",
    "hakurei/waifu-diffusion",
    "prompthero/openjourney",
    "jacek-huszar/$(IMG2TEXT_MODEL_NAME)",
    "cjwbw/canvae-text-to-image",
    "tdbooth/hollow-kingdom-ddim",
    "kuprel/min-dalle",
    "osanseviero/stable-diffusion-webui",
    "lambdal/text-to-image"
]

def generate_image(prompt, model_name):
    client = InferenceClient(model_name)
    response = client.text_to_image(prompt)
    return response.image

# Create Gradio Interface
with gr.Blocks() as demo:
    gr.Markdown("## Text-to-Image Generation with Hugging Face Models")
    with gr.Row():
        with gr.Column():
            model_dropdown = gr.Dropdown(models, label="Select Model")
            prompt_input = gr.Textbox(label="Enter Text Prompt")
            generate_button = gr.Button("Generate Image")
        with gr.Column():
            output_image = gr.Image(label="Generated Image")
    
    generate_button.click(generate_image, inputs=[prompt_input, model_dropdown], outputs=output_image)

# Launch the interface
demo.launch()