app.py

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

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

models_load = load_models(models)

num_models = 6
default_models = models[:num_models]

# Extend choices to a fixed number of models
def extend_choices(choices):
    return choices + ['NA'] * (num_models - len(choices))

# Dynamically update image boxes based on number of choices
def update_imgbox(choices):
    extended_choices = extend_choices(choices)
    return [gr.Image(None, label=m, visible=(m != 'NA')) for m in extended_choices]

# Generate function with noise added to prompt
def generate_image(model_str, prompt):
    if model_str == 'NA':
        return None
    noise = str(randint(0, 99999999999))
    return models_load[model_str](f'{prompt} {noise}')

# Gradio interface setup
with gr.Blocks() as demo:
    model_dropdown = gr.Dropdown(models, label='Choose model', value=models[0], filterable=False)
    text_input = gr.Textbox(label='Prompt text')

    max_images = 6
    num_images_slider = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')

    generate_button = gr.Button('Generate')
    stop_button = gr.Button('Stop', variant='secondary', interactive=False)

    # Enable the stop button when generation starts
    generate_button.click(lambda: gr.update(interactive=True), None, stop_button)

    with gr.Row():
        output_images = [gr.Image(label='') for _ in range(max_images)]

    for i, output in enumerate(output_images):
        img_index = gr.Number(i, visible=False)
        num_images_slider.change(
            lambda idx, n: gr.update(visible=(idx < n)), 
            [img_index, num_images_slider], output
        )
        generate_event = generate_button.click(
            lambda idx, n, model, prompt: generate_image(model, prompt) if idx < n else None, 
            [img_index, num_images_slider, model_dropdown, text_input], output
        )

        # Stop button functionality to cancel image generation
        stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[generate_event])


demo.launch()