app.py

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

text_gen = gr.Interface.load("models/Gustavosta/MagicPrompt-Stable-Diffusion")
proc1 = gr.Interface.load("models/Joeythemonster/anything-midjourney-v-4-1")

def restart_script_periodically():
    while True:
        random_time = random.randint(540, 600)
        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

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(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
    for index in noise_indices:
        prompt_list[index] = random.choice(noise_chars)
    return "".join(prompt_list)

# Existing code...

import uuid  # Import the UUID library

# Existing code...

# Existing code...

request_counter = 0  # Global counter to track requests

def send_it1(inputs, noise_level, proc=proc1):
    global request_counter
    request_counter += 1
    timestamp = f"{time.time()}_{request_counter}"
    prompt_with_noise = add_random_noise(inputs, noise_level) + f" - {timestamp}"
    while queue.qsize() >= queue_threshold:
        time.sleep(2)
    queue.put(prompt_with_noise)
    output = proc(prompt_with_noise)
    return output

def get_prompts(prompt_text):
    global request_counter
    request_counter += 1
    timestamp = f"{time.time()}_{request_counter}"
    if prompt_text:
        return text_gen("mdjrny-v4 style, " + prompt_text + f" - {timestamp}")
    else:
        return text_gen("", timestamp)

# Existing code...

# Existing code...

with gr.Blocks(css="footer {display: none !important;}") as demo:
    gr.HTML("""
        <div style="text-align: center; max-width: 700px; margin: 0 auto;">
            <div style="
                display: inline-flex;
                align-items: center;
                gap: 0.8rem;
                font-size: 1.75rem;
            ">
                <div>
                    <h1 style="
                        text-align: center;
                        font-weight: bold;
                        color: #800000;
                        font-family: 'Courier New', Courier, monospace;
                        font-size: 25px;
                        margin-top: 40px;">
                        Experience the Next Level of Image Creation with the New Artigen Version (Artigen v.2)
                    </h1>
                    <h2 style="    Color :#4682B4;
                font-family :  "Brush Script MT", cursive;
                  font-size: 30px;
                  margin-top: 30px;" >fast and easy</h2>
                </div>
            </div>
            <p style="margin-bottom: 10px; font-size: 96%;">
                Noise Level: Controls how much randomness is added to the input before it is sent to the model. Higher noise level produces more diverse outputs, while lower noise level produces similar outputs.
            </p>
        </div>
    """)


    with gr.Column(elem_id="col-container"):
        with gr.Row(variant="compact"):
            input_text = gr.Textbox(
                lines=8,
                label="Short Prompt",
                show_label=False,
                max_lines=10,
                placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
            ).style(
                container=False,
                textarea={'height': '400px'}
            )
            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)

        with gr.Row(variant="compact"):
            prompt = gr.Textbox(
                lines=8,
                label="Enter your prompt",
                show_label=False,
                max_lines=10,
                placeholder="Full Prompt",
            ).style(
                container=False,
                textarea={'height': '400px'}
            )
            run = gr.Button("Generate Images").style(full_width=False)

        with gr.Row():
            with gr.Row():
                noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")

        with gr.Row():
            with gr.Row():
                output1 = gr.Image(label="Dreamlike Diffusion 1.0", show_label=False, show_share_button=False)
                output2 = gr.Image(label="Dreamlike Diffusion 1.0", show_label=False, show_share_button=False)

        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_it1, inputs=[prompt, noise_level], outputs=[output2])
        gr.HTML("""
                  <div class="footer" style="margin-bottom: 45px;
    margin-top: 35px;
    text-align: center;
    border-bottom: 1px solid #e5e5e5" 
>
                     <p style="font-size: .8rem;
    display: inline-block;
    padding: 0 10px;
    transform: translateY(10px);
    background: white" > 
                     </p>
                  </div>
                 <div class="acknowledgments" style="margin: 1.25em 0 .25em 0;
    
    font-size: 96%">
                 <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)