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nuclearfu
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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

text_gen=gr.Interface.load("spaces/trysem/visua")
def get_prompts(prompt_text):
    return text_gen(prompt_text)
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")

def restart_script_periodically():
    while True:
        time.sleep(600) # 10 minutes
        try:
            os.execl(sys.executable, sys.executable, *sys.argv)
        except:
            pass

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

queue = Queue()
queue_threshold = 800

def add_random_noise(prompt, noise_level=0.07):
    if noise_level == 0:
        noise_level = 0.07
    # Get the percentage of characters to add as noise
    percentage_noise = noise_level * 5
    # Get the number of characters to add as noise
    num_noise_chars = int(len(prompt) * (percentage_noise/100))
    # Get the indices of the characters to add noise to
    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
    # Add noise to the selected characters
    prompt_list = list(prompt)
    noise_chars = string.ascii_letters + string.punctuation + ' '
    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 = add_random_noise(inputs, noise_level)
    output1 = proc1(prompt_with_noise)
    return output1

def send_it2(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output2 = proc1(prompt_with_noise)
    return output2

def send_it3(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output3 = proc1(prompt_with_noise)
    return output3

#def send_it4(inputs, noise_level, proc1=proc1):
    #prompt_with_noise = add_random_noise(inputs, noise_level)
    #output4 = proc1(prompt_with_noise)
    #return output4




with gr.Blocks(css="footer {visibility: hidden}") as myface:
    with gr.Row():

        input_text=gr.Textbox(label="Short Prompt")
        see_prompts=gr.Button("Magic Prompt")
    with gr.Row():

        prompt=gr.Textbox(label="Enter Prompt")
        noise_level=gr.Slider(minimum=0.0, maximum=3, step=0.1, label="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.")
        run=gr.Button("Generate")

    with gr.Row():
        like_message = gr.Button("❤️❤️❤️ Press the Like Button if you enjoy my space! ❤️❤️❤️")

        
    with gr.Row():
        output1=gr.Image(label="Dreamlike-photoreal-2.0")
        output2=gr.Image(label="Dreamlike-photoreal-2.0")
        output3=gr.Image(label="Dreamlike-photoreal-2.0")
        #output4=gr.Image(label="Dreamlike-photoreal-2.0")
    #with gr.Row():
        #output5=gr.Image(label="Dreamlike-photoreal-2.0")
        #output6=gr.Image(label="Dreamlike-photoreal-2.0")
    #with gr.Row():
        #output7=gr.Image(label="Dreamlike-photoreal-2.0")
        #output8=gr.Image(label="Dreamlike-photoreal-2.0")

    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_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_it6, inputs=[prompt, noise_level], outputs=[output6])
    #run.click(send_it7, inputs=[prompt, noise_level], outputs=[output7])
    #run.click(send_it8, inputs=[prompt, noise_level], outputs=[output8])
    

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