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 = 1
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):
    if model_str == 'NA':
        return None
    noise = str('') #str(randint(0, 99999999999))
    return models_load[model_str](f'{prompt} {noise}')



with gr.Blocks() as demo:
    with gr.Tab('Printing Press'): 
        model_choice2 = gr.Dropdown(models, label = 'Choose a model from the 686 available!', value = models[0], filterable = False)
        txt_input2 = gr.Textbox(label = 'Your prompt:')
        
        current_images = 1
        max_images = 6
        
        gen_button2 = gr.Button('Generate up to 6 images in up to 3 minutes total')
        stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False)
        gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2)
        with gr.Column():
            num_images = gr.Slider(current_images, max_images, value = 1, step = 1, label = 'Number of images')        
            output2 = [gr.Image(label = '') for _ in range(6)]
        for i, o in enumerate(output2):
            num_models = num_images
            img_i = gr.Number(i, visible = False)
            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o, show_progress = False)
            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])
        with gr.Row():
            gr.HTML(
    """
        <div class="footer">
        <p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier!
        </p>
    """
)

demo.queue(concurrency_count = 200)                        
demo.launch()