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Update app.py
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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/Omnibus/MagicPrompt-Stable-Diffusion")
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() 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)