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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
import emoji
text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
def get_prompts(prompt_text):
if prompt_text:
return text_gen("dreamlikeart, " + prompt_text)
else:
return text_gen("")
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")
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(['๐', '๐ฉ', '๐', '๐ค', '๐', '๐ค', '๐ญ', '๐', '๐ท', '๐คฏ', '๐คซ', '๐ฅด', '๐ด', '๐คฉ', '๐ฅณ', '๐', '๐ฉ', '๐คช', '๐', '๐คข', '๐', '๐น', '๐ป', '๐ค', '๐ฝ', '๐', '๐', '๐
', '๐', '๐', '๐', '๐', '๐', '๐', '๐ฎ', 'โค๏ธ', '๐', '๐', '๐', '๐', '๐ถ', '๐ฑ', '๐ญ', '๐น', '๐ฆ', '๐ป', '๐จ', '๐ฏ', '๐ฆ', '๐', '๐ฅ', '๐ง๏ธ', '๐', '๐', '๐ฅ', '๐ด', '๐', '๐บ', '๐ป', '๐ธ', '๐จ', '๐
', '๐', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', 'โ๏ธ', '๐ค๏ธ', 'โ
๏ธ', '๐ฅ๏ธ', '๐ฆ๏ธ', '๐ง๏ธ', '๐ฉ๏ธ', '๐จ๏ธ', '๐ซ๏ธ', 'โ๏ธ', '๐ฌ๏ธ', '๐จ', '๐ช๏ธ', '๐'])
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)
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_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
with gr.Blocks(css='style.css') as demo:
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="Araรง bilginizi giriniz.",
).style(
container=False,
)
see_prompts = gr.Button("Oluลtur [รok detaylฤฑ]").style(full_width=False)
with gr.Row(variant="compact"):
prompt = gr.Textbox(
label="Enter your prompt",
show_label=False,
max_lines=2,
placeholder="Araรง bilginizi giriniz.",
).style(
container=False,
)
run = gr.Button("Oluลtur [Az detaylฤฑ]").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)
output2=gr.Image(label="Dreamlike Diffusion 1.0",show_label=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_it2, inputs=[prompt, noise_level], outputs=[output2])
demo.launch(enable_queue=True, inline=True)
block.queue(concurrency_count=100) |