import gradio as gr
import time
import random

random_seed = None

models = [
    "Yntec/ChickFlick",
    "Yntec/CrystalReality",
    "Yntec/DegreesOfFreedom",
]

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, seed=None):
            return None
        model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text", "number"], outputs=["image"])
    model_idx += 1

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

def get_prompts(prompt_text):
    return prompt_text

def clear_it(val):
    return 0

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:
        d = gr.update(value=et if cnt != 0 else 0)
        tog = gr.update(value=0)
    return d, tog

def all_task_start():
    global random_seed
    random_seed = random.randint(0, 2**32 - 1)
    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)]])

with gr.Blocks(title="SD Models") as my_interface:
    with gr.Column(scale=12):
        with gr.Row():
            with gr.Row(scale=6):
                primary_prompt = gr.Textbox(label="Prompt", value="")
            with gr.Row(scale=6):
                with gr.Row():
                    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(send_it_idx(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())])

text_gen1 = gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")

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