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 subprocess


text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0", live=True)


def restart_script_periodically():
    while True:
        time.sleep(60) # 5 minutes
        os.execl(sys.executable, sys.executable, *sys.argv)

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


def add_random_noise(prompt, 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
    time.sleep(1)

def send_it2(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output2 = proc1(prompt_with_noise)
    return output2
    time.sleep(1)

def send_it3(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output3 = proc1(prompt_with_noise)
    return output3
    time.sleep(1)

def send_it4(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output4 = proc1(prompt_with_noise)
    return output4
    time.sleep(1)

def send_it5(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output5 = proc1(prompt_with_noise)
    return output5
    time.sleep(1)

def send_it6(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output6 = proc1(prompt_with_noise)
    return output6
    time.sleep(1)

def send_it7(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output7 = proc1(prompt_with_noise)
    return output7
    time.sleep(1)

def send_it8(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output8 = proc1(prompt_with_noise)
    return output8
    time.sleep(1)


def get_prompts(prompt_text):
    output = text_gen(prompt_text)
    return output


with gr.Blocks() 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=0.1, 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 Diffusion 1.0")
        output2=gr.Image(label="Dreamlike Diffusion 1.0")
    with gr.Row():
        output3=gr.Image(label="Dreamlike Diffusion 1.0")
        output4=gr.Image(label="Dreamlike Diffusion 1.0")
    with gr.Row():
        output5=gr.Image(label="Dreamlike Diffusion 1.0")
        output6=gr.Image(label="Dreamlike Diffusion 1.0")
    with gr.Row():
        output7=gr.Image(label="Dreamlike Diffusion 1.0")
        output8=gr.Image(label="Dreamlike Diffusion 1.0")

    
    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])
    see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt])

myface.queue(concurrency_count=30)
myface.launch(enable_queue=True, inline=True)