app.py

import gradio as gr
import os 
import sys
from pathlib import Path
import random
import string
import time
from ratelimiter import RateLimiter

# rate limit to 4 calls per second
rate_limiter = RateLimiter(max_calls=4, period=1)

text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")


proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
proc5=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")


def add_random_noise(prompt, noise_level=0.1):
    noise = "".join(random.choices(string.ascii_letters + string.punctuation, k=int(noise_level * 10)))
    return prompt + noise

def send_it1(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    rate_limiter()
    output1 = proc1(prompt_with_noise)
    return output1

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

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

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

def send_it5(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    rate_limiter()
    output5 = proc5(prompt_with_noise)
    return output5

def send_it6(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    rate_limiter()
    output6 = proc5(prompt_with_noise)
    return output6

def send_it7(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    rate_limiter()
    output7 = proc5(prompt_with_noise)
    return output7

def send_it8(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    rate_limiter()
    output8 = proc5(prompt_with_noise)
    return output8


def get_prompts(prompt_text):
    return text_gen(prompt_text)

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=1, step=0.1, label="Noise Level: Adjust noise level to explore different outputs. More noise, more variation. The noise level controls the level of randomness or variations added to the prompt before it is sent to the model. A higher noise level would introduce more variations to the prompt, while a lower noise level would introduce fewer variations.")
        run=gr.Button("Generate")


    with gr.Row():
        output1=gr.Image(label="DreamlikeArt PhotoReal 1")
        output2=gr.Image(label="DreamlikeArt PhotoReal 2")
    with gr.Row():
        output3=gr.Image(label="DreamlikeArt PhotoReal 3")
        output4=gr.Image(label="DreamlikeArt PhotoReal 4")
    with gr.Row():
        output5=gr.Image(label="DreamlikeArt Diffusion 1")
        output6=gr.Image(label="DreamlikeArt Diffusion 2")
    with gr.Row():
        output7=gr.Image(label="DreamlikeArt Diffusion 3")
        output8=gr.Image(label="DreamlikeArt Diffusion 4")        

    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=16)
    myface.launch(enable_queue=True, inline=True)