app.py

import gradio as gr
from random import randint
from all_models import models

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


load_fn(models)


num_models = 6
default_models = models[:num_models]


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


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

    
def gen_fn(model_str, prompt, negative_prompt=None):
    if model_str == 'NA':
        return None
    noise = str(randint(0, 99999999999))
    return models_load[model_str](f'{prompt}', negative_prompt=negative_prompt)


with gr.Blocks() as demo:
    with gr.Tab('Multiple models'): 
        with gr.Accordion('Model selection'):
            # ... accordion content here

            txt_input = gr.Textbox(label='Positive Prompt text')
            neg_txt_input = gr.Textbox(label='Negative Prompt (optional)', placeholder="e.g., no cars")

            gen_button = gr.Button('Generate')
            stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
            gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
           
        with gr.Row():
            output = [gr.Image(label = m) for m in default_models]
            current_models = [gr.Textbox(m, visible = False) for m in default_models]
            
            model_choice.change(update_imgbox, model_choice, output)
            model_choice.change(extend_choices, model_choice, current_models)

        for m, o in zip(current_models, output):
            gen_event = gen_button.click(gen_fn, [m, txt_input, neg_txt_input], o, queue=False)
                    
            
    with gr.Tab('Single model'):
        model_choice2 = gr.Dropdown(models, label = 'Choose model', value = models[0], filterable = False)
        txt_input2 = gr.Textbox(label = 'Prompt text')
        
        max_images = 6
        num_images = gr.Slider(1, max_images, value = max_images, step = 1, label = 'Number of images')
        
        gen_button2 = gr.Button('Generate')
        stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False)
        gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2)
        
        with gr.Row():
            output2 = [gr.Image(label = '') for _ in range(max_images)]

        for i, o in enumerate(output2):
            img_i = gr.Number(i, visible = False)
            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o)
            gen_event2 = gen_button2.click(lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, [img_i, num_images, model_choice2, txt_input2], o)
            stop_button2.click(lambda s: gr.update(interactive = False), None, stop_button2, cancels = [gen_event2])

    
demo.queue(concurrency_count = 36)                        
demo.launch()