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

now2 = 0
kii = "dog"

def get_current_time():
    now = datetime.now()
    now2 = now
    current_time = now2.strftime("%Y-%m-%d %H:%M:%S")
    ki = f'{kii} {current_time}'
    return ki

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 = len(models)
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(randint(0, 9999))
    return models_load[model_str](f'{prompt} {noise}')

def make_me():
    with gr.Tab('The Dream'): 
        txt_input = gr.Textbox(label='Your prompt:', lines=4, value=kii)
        gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
        stop_button = gr.Button('Stop', variant='secondary', interactive=False)
        gen_button.click(lambda s: gr.update(interactive=True), None, stop_button)
        gr.HTML("""
            <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
              <div>
                <body>
                <div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
                </div>
                </body>
              </div>
            </div>
        """)
        with gr.Row():
            output = [gr.Image(label=m, min_width=280) for m in default_models]
            current_models = [gr.Textbox(m, visible=true) for m in default_models]
            for m, o in zip(current_models, output):
                gen_event = gen_button.click(gen_fn, [m, txt_input], o)
                stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_event])
        with gr.Accordion('Model selection'):
            model_choice = gr.CheckboxGroup(models, label=f'Choose up to {num_models} different models from the 800 available!', value=default_models, multiselect=True, max_choices=num_models, interactive=True, filterable=False)
            model_choice.change(update_imgbox, model_choice, output)
            model_choice.change(extend_choices, model_choice, current_models)
        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>
            """)


with gr.Blocks(css=".toast-wrap {position:absolute!important; bottom:0%!important; top:auto!important; display:none!important; }") as demo:
    make_me()



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