app.py

import gradio as gr
from random import randint
from all_models import models
from externalmod import gr_Interface_load
import asyncio
from threading import RLock
lock = RLock()

def load_fn(models):
    global models_load
    models_load = {}
    
    for model in models:
        if model not in models_load.keys():
            try:
                m = gr_Interface_load(f'models/{model}')
            except Exception as error:
                print(error)
                m = gr.Interface(lambda: None, ['text'], ['image'])
            models_load.update({model: m})


load_fn(models)


num_models = 6
default_models = models[:num_models]
timeout = 60

def extend_choices(choices):
    return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']


def update_imgbox(choices):
    choices_plus = extend_choices(choices[:num_models])
    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]


def update_imgbox_gallery(choices):
    choices_plus = extend_choices(choices[:num_models])
    return [gr.Gallery(None, label = m, visible = (m != 'NA')) for m in choices_plus]


async def infer(model_str, prompt, timeout):
    from PIL import Image
    noise = ""
    rand = randint(1, 500)
    for i in range(rand):
        noise += " "
    task = asyncio.create_task(asyncio.to_thread(models_load[model_str], f'{prompt} {noise}'))
    await asyncio.sleep(0)
    try:
        result = await asyncio.wait_for(task, timeout=timeout)
    except (Exception, asyncio.TimeoutError) as e:
        print(e)
        print(f"Task timed out: {model_str}")
        if not task.done(): task.cancel()
        result = None
    if task.done() and result is not None:
        with lock:
            image = Image.open(result).convert('RGBA')
        return image
    return None

def gen_fn(model_str, prompt):
    if model_str == 'NA':
        return None
    try:
        loop = asyncio.new_event_loop()
        result = loop.run_until_complete(infer(model_str, prompt, timeout))
    except (Exception, asyncio.CancelledError) as e:
        print(e)
        print(f"Task aborted: {model_str}")
        result = None
    finally:
        loop.close()
    return result


def add_gallery(image, model_str, gallery):
    if gallery is None: gallery = []
    with lock:
        if image is not None: gallery.insert(0, (image, model_str))
    return gallery


def gen_fn_gallery(model_str, prompt, gallery):
    if gallery is None: gallery = []
    if model_str == 'NA':
        yield gallery
    try:
        loop = asyncio.new_event_loop()
        result = loop.run_until_complete(infer(model_str, prompt, timeout))
        with lock:
            if result: gallery.insert(0, result)
    except (Exception, asyncio.CancelledError) as e:
        print(e)
        print(f"Task aborted: {model_str}")
    finally:
        loop.close()
    yield gallery


CSS="""
#container { max-width: 1200px; margin: 0 auto; !important; }
.output { width=112px; height=112px; !important; }
.gallery { width=100%; min_height=768px; !important; }
.guide { text-align: center; !important; }
"""

with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=CSS) as demo:
    gr.HTML(
    """
        <div>
        <p> <center>For simultaneous generations without hidden queue check out <a href="https://huggingface.co/spaces/Yntec/ToyWorld">Toy World</a>! For more options like single model x6 check out <a href="https://huggingface.co/spaces/John6666/Diffusion80XX4sg">Diffusion80XX4sg</a> by John6666!</center>
        </p></div>
    """
)  
    with gr.Tab('Huggingface Diffusion'):
        with gr.Column(scale=2):
            txt_input = gr.Textbox(label='Your prompt:', lines=4)
            with gr.Row():
                gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total. Wait as progress is not shown.', scale=2)
                stop_button = gr.Button('Stop', variant='secondary', interactive=False, scale=1)
                gen_button.click(lambda: gr.update(interactive = True), None, stop_button)
            gr.Markdown("Scroll down to see more images and select models.", elem_classes="guide")

        with gr.Column(scale=1):
            with gr.Group():
                with gr.Row():
                    output = [gr.Image(label=m, show_download_button=True, elem_classes="output", interactive=False, min_width=80, show_share_button=False, visible=True) for m in default_models]
                    #output = [gr.Image(label=m, show_download_button=True, elem_classes="output", interactive=False, show_share_button=True) for m in default_models]
                    #output = [gr.Gallery(label=m, show_download_button=True, elem_classes="output", interactive=False, show_share_button=True, container=True, format="png", object_fit="cover") for m in default_models]
                    current_models = [gr.Textbox(m, visible=False) for m in default_models]

        with gr.Column(scale=2):
            gallery = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery",
                                interactive=False, show_share_button=True, container=True, format="png",
                                preview=True, object_fit="cover", columns=2, rows=2) 

        for m, o in zip(current_models, output):
            #gen_event = gen_button.click(gen_fn, [m, txt_input], o)
            #gen_event = gen_button.click(gen_fn_gallery, [m, txt_input, o], o)
            gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn, inputs=[m, txt_input], outputs=[o])
            o.change(add_gallery, [o, m, gallery], [gallery])
            stop_button.click(lambda: gr.update(interactive = False), None, stop_button, cancels = [gen_event])

        with gr.Column(scale=4):
            with gr.Accordion('Model selection'):
                model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 866 available!', value=default_models, interactive=True)
                model_choice.change(update_imgbox, model_choice, output)
                #model_choice.change(update_imgbox_gallery, model_choice, output)
                model_choice.change(extend_choices, model_choice, current_models)

    gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!")

demo.queue()
demo.launch()