import gradio as gr
import random
import time

models = [
    "John6666/ultimate-realistic-mix-v2-sdxl",
]

model_functions = {}
model_idx = 1
for model_path in models:
    try:
        model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False)
    except Exception as error:
        def the_fn(txt):
            return None
        model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
    model_idx += 1

def send_it_idx(idx):
    def send_it_fn(prompt):
        output = (model_functions.get(str(idx)) or model_functions.get(str(1)))(prompt)
        return output
    return send_it_fn

def get_prompts(prompt_text):
    return prompt_text

def clear_it(val):
    if int(val) != 0:
        val = 0
    else:
        val = 0
    return val

def all_task_end(cnt, t_stamp):
    to = t_stamp + 360
    et = time.time()
    if et > to and t_stamp != 0:
        d = gr.update(value=0)
        tog = gr.update(value=1)
    else:
        if cnt != 0:
            d = gr.update(value=et)
        else:
            d = gr.update(value=0)
        tog = gr.update(value=0)
    return d, tog

def all_task_start():
    t = time.gmtime()
    t_stamp = time.time()
    return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0)

def clear_fn():
    nn = len(models)
    return tuple([None, *[None for _ in range(nn)]])

def generate_random_images():
    prompt = "Random seed image"
    outputs = []
    for _ in range(3):
        output = model_functions[1](prompt)
        outputs.append(output)
    return outputs

with gr.Blocks(title="SD Models") as my_interface:
    with gr.Column(scale=12):
        with gr.Row():
            primary_prompt = gr.Textbox(label="Prompt", value="")
            run = gr.Button("Run", variant="primary")
            clear_btn = gr.Button("Clear")
        with gr.Row():
            sd_outputs = {}
            model_idx = 1
            for model_path in models:
                with gr.Column(scale=3, min_width=320):
                    with gr.Box():
                        sd_outputs[model_idx] = gr.Image(label=model_path)
                model_idx += 1

        with gr.Row(visible=False):
            start_box = gr.Number(interactive=False)
            end_box = gr.Number(interactive=False)
            tog_box = gr.Textbox(value=0, interactive=False)

        start_box.change(
            all_task_end,
            [start_box, end_box],
            [start_box, tog_box],
            every=1,
            show_progress=True
        )

        primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
        run.click(all_task_start, None, [start_box, end_box, tog_box])

        runs_dict = {}
        model_idx = 1
        for model_path in models:
            runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
            model_idx += 1

        clear_btn.click(
            clear_fn,
            None,
            [primary_prompt, *list(sd_outputs.values())],
            cancels=[*list(runs_dict.values())]
        )
        tog_box.change(
            clear_it,
            tog_box,
            tog_box,
            cancels=[*list(runs_dict.values())]
        )

        random_images = generate_random_images()
        for i, img in enumerate(random_images):
            sd_outputs[i+1].value = img

my_interface.queue(concurrency_count=600, status_update_rate=1)
my_interface.launch(inline=True, show_api=True)