import gradio as gr
import os
import sys
from pathlib import Path
import random
import string
import time
from queue import Queue
from threading import Thread
import emoji

text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
def get_prompts(prompt_text):
    if prompt_text:
	    return text_gen(prompt_text + " photo, movie still")
    else:
        return text_gen("")
proc1=gr.Interface.load("Yntec/photoMovieX")

def restart_script_periodically():
    while True:
        random_time = random.randint(5400, 6000)
        time.sleep(random_time)
        os.execl(sys.executable, sys.executable, *sys.argv)


restart_thread = Thread(target=restart_script_periodically, daemon=True)
restart_thread.start()


queue = Queue()
queue_threshold = 100

#Don't add noise to the first picture no matter what (the point of noise is to get varied outputs, the first one doesn't need to vary about anything)
def noadd_random_noise(prompt, noise_level=0.00):
    if noise_level == 0:
       noise_level = 0.00
    percentage_noise = noise_level * 5
    num_noise_chars = int(len(prompt) * (percentage_noise/100))
    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
    prompt_list = list(prompt)
    noise_chars = list(string.ascii_letters + string.punctuation + '' + string.digits)
    noise_chars.extend([''])
    for index in noise_indices:
        prompt_list[index] = random.choice(noise_chars)
    return "".join(prompt_list)

#normal behavior
def add_random_noise(prompt, noise_level=0.00):
    if noise_level == 0:
        noise_level = 0.00
    percentage_noise = noise_level * 5
    num_noise_chars = int(len(prompt) * (percentage_noise/100))
    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
    prompt_list = list(prompt)
    noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
    noise_chars.extend(['😍', 'beautiful', '😂', '🤔', '😊', '🤗', '😭', '🙄', 'pretty', '🤯', '🤫', '🥴', 'sitting', '🤩', '🥳', '😔', '😩', '🤪', '😇', 'retro', '😈', '👹', 'masterpiece', '🤖', '👽', 'high quality', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', 'visible', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', 'cute', 'kawaii', 'little', 'photo', 'movie', 'still'])
    for index in noise_indices:
        prompt_list[index] = random.choice(noise_chars)
    return "".join(prompt_list)

def send_it1(inputs, noise_level, proc1=proc1):
    prompt_with_noise = noadd_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output1 = proc1(prompt_with_noise)
    return output1

def send_it2(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output2 = proc1(prompt_with_noise)
    return output2

def send_itX(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    outputX = proc1(prompt_with_noise)
    return outputX

def send_it3(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output3 = proc1(prompt_with_noise)
    return output3

def send_it4(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output4 = proc1(prompt_with_noise)
    return output4

def send_it5(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output5 = proc1(prompt_with_noise)
    return output5

#def send_it7(inputs, noise_level, proc1=proc1):
    #prompt_with_noise = add_random_noise(inputs, noise_level)
    #while queue.qsize() >= queue_threshold:
    #    time.sleep(2)
    #queue.put(prompt_with_noise)
    #output5 = proc1(prompt_with_noise)
    #return output0


with gr.Blocks(css='style.css') as demo:
    gr.HTML(
        """
            <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
              <div>
                <style>
                    h1 {
                    font-size: 6em;
                    color: #ffffff;
                    margin-top: 30px;
                    margin-bottom: 30px;
                    text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important;
                   }
                </style>
                <body>
                <div class="center"><h1>PhotoMovieX</h1>
                </div>
                </body>
              </div>
              <p style="margin-bottom: 10px; color: #ffffff;">
              Celebrating 50000 downloads!
              <a href="https://civitai.com/models/94687?modelVersionId=101000">Check MagicArt35's original model page here!</a>.
              If you have an idea, put it on the first box to expand it, if you have a full prompt, you can leave the first box empty and just put it on the second one and click generate images!
              Noise Level: Controls how much randomness is added to the input of the boxes after the first one before it is sent to the model, so you can get 6 unique 768x768 images. Higher noise level produces more diverse outputs, while lower noise level produces similar outputs,
                <a href="https://twitter.com/DavidJohnstonxx/">original space created by Phenomenon1981</a>.
              </p>
              <p style="margin-bottom: 10px; color: #ffaa66; font-size: 98%">
              ❤️ Press the Like Button if you enjoy my space! ❤️</a>
              </p>
            </div>
        """
    )
    with gr.Column(elem_id="col-container"):
        with gr.Row(variant="compact"):
            input_text = gr.Textbox(
                label="Short Prompt",
                show_label=False,
                max_lines=2,
                placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
            ).style(
                container=False,min_width=1200
            )
            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)

        
        with gr.Row(variant="compact"):
            prompt = gr.Textbox(
                label="Enter your prompt",
                show_label=False,
                max_lines=2,
                placeholder="Full Prompt",
            ).style(
                container=False,
            )
            run = gr.Button("Generate Images").style(full_width=False)
        
        with gr.Row():
            with gr.Row():
                #Now that the first box generates a picture with noise=0 having the default at 0 makes no sense as it'd generate the same image 6 times.
                noise_level = gr.Slider(minimum=0.2, maximum=3, step=0.1, label="Noise Level (0.1 or less was generating the same pic 6 times! 🤣)")
        with gr.Row():
            with gr.Row():
                output1=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
                output2=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
        with gr.Row():
            with gr.Row():
                output3=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
                output4=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
        with gr.Row():
            with gr.Row():
                output5=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
                outputX=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
        #with gr.Row():
            #with gr.Row():
                #output0=gr.Image(label="PhotoMovieX",show_label=False,min_width=640)
        
        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
        run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
        #run.click(send_it7, inputs=[prompt, noise_level], outputs=[output0])
        run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2])
        run.click(send_it3, inputs=[prompt, noise_level], outputs=[output3])
        run.click(send_it4, inputs=[prompt, noise_level], outputs=[output4])
        run.click(send_it5, inputs=[prompt, noise_level], outputs=[output5])
        run.click(send_itX, inputs=[prompt, noise_level], outputs=[outputX])
        

        with gr.Row():
                gr.HTML(
    """
        <div class="footer">
        <p> Demo for <a href="https://huggingface.co/Yntec/DreamAnything">DreamAnything</a> Stable Diffusion model
</p>
</div>
        <div class="acknowledgments" style="font-size: 115%; color: #ffffff;">
            <p> Unleash your creative side and generate mesmerizing images with just a few clicks! Enter a spark of inspiration in the "Basic Idea" text box and click the "Magic Prompt" button to elevate it to a polished masterpiece. Make any final tweaks in the "Full Prompt" box and hit the "Generate Images" button to watch your vision come to life. Experiment with the "Noise Level" for a diverse range of outputs, from similar to wildly unique. Let the fun begin!
            </p>
        </div>
    """
)

    demo.launch(enable_queue=True, inline=True)
    block.queue(concurrency_count=100)