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

ru2en = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-ru-en")

text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
def get_prompts(prompt_text):
    return text_gen("photo, " + prompt_text)

proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")

def restart_script_periodically():
    while True:
        time.sleep(600) # 100 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=0.00):
    if noise_level == 0:
        noise_level = 0.00
    # 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)
    # Add numbers, special characters, and all emojis to the list of characters used to add noise
    noise_chars = string.ascii_letters + string.punctuation + ' ' + string.digits + emoji.emojize(":all:")
    for index in noise_indices:
        prompt_list[index] = random.choice(noise_chars)
    return "".join(prompt_list)


def send_it(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output = proc1(prompt_with_noise)
    return output

with gr.Blocks(css='style.css') as demo:
    with gr.Column(elem_id="col-container"):
        
        with gr.Row(variant="compact"):
            input_text_ru = gr.Textbox(
                label="Short Ru Prompt",
                show_label=False,
                max_lines=2,
                placeholder="Enter a basic idea on Russian",
            ).style(
                container=False,
            )
            Translate = gr.Button("Ru ▶ En").style(full_width=False)
            input_text = gr.Textbox(
                label="Short En Prompt",
                show_label=False,
                max_lines=2,
                placeholder="Enter a basic idea",
            )
        
        with gr.Row(variant="compact"):
            prompt = gr.Textbox(
                label="Enter your prompt",
                show_label=False,
                max_lines=2,
                placeholder="Full Prompt",
            ).style(
                container=False,
            )
            see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)
            
        with gr.Row(variant="compact"):
            with gr.Column():
                noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
        
        with gr.Row():
            with gr.Column():
                run1 = gr.Button("Generate").style(full_width=False)
                output1=gr.Image()
            with gr.Column():
                run2 = gr.Button("Generate").style(full_width=False)
                output2=gr.Image()
            with gr.Column():
                run3 = gr.Button("Generate").style(full_width=False)
                output3=gr.Image()
            with gr.Column():
                run4 = gr.Button("Generate").style(full_width=False)
                output4=gr.Image()
        
        Translate.click(ru2en, inputs=[input_text_ru], outputs=[input_text], queue=False)
        see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
        run1.click(send_it, inputs=[prompt, noise_level], outputs=[output1], queue=False)
        run2.click(send_it, inputs=[prompt, noise_level], outputs=[output2], queue=False)
        run3.click(send_it, inputs=[prompt, noise_level], outputs=[output3], queue=False)
        run4.click(send_it, inputs=[prompt, noise_level], outputs=[output4], queue=False)
        

    demo.launch(enable_queue=True, inline=True)
    block.queue(concurrency_count=8)