app.py

import gradio as gr
import os 
import sys
from pathlib import Path
import random
import string
import time
from queue import Queue
queue = Queue()

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

queue_length_counter = 0

def send_it1(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output1 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output1

def send_it2(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output2 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output2

def send_it3(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output3 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output3

def send_it4(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output4 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output4

def send_it5(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output5 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output5

def send_it6(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output6 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output6

def send_it7(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output7 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output7

def send_it8(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output8 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(1)
    return output8



def get_prompts(prompt_text):
    global queue_length_counter
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output = text_gen(prompt_text)
    queue_length_counter += 1
    time.sleep(1)
    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=1, 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",)
    with gr.Row():
        output3=gr.Image(label="Dreamlike Photoreal 2.0",)
        output4=gr.Image(label="Dreamlike Photoreal 2.0",)
    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=8)
    myface.launch(enable_queue=True, inline=True)