app.py

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

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)
    output1=proc1(prompt_with_noise)
    time.sleep(1)
    return output1

def send_it2(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output2 = proc1(prompt_with_noise)
    time.sleep(1)
    return output2

def send_it3(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output3 = proc1(prompt_with_noise)
    time.sleep(1)
    return output3

def send_it4(inputs, noise_level, proc1=proc1):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output4 = proc1(prompt_with_noise)
    time.sleep(1)
    return output4

def send_it5(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output5 = proc5(prompt_with_noise)
    time.sleep(1)
    return output5

def send_it6(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output6 = proc5(prompt_with_noise)
    time.sleep(1)
    return output6

def send_it7(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output7 = proc5(prompt_with_noise)
    time.sleep(1)
    return output7

def send_it8(inputs, noise_level, proc5=proc5):
    prompt_with_noise = add_random_noise(inputs, noise_level)
    output8 = proc5(prompt_with_noise)
    time.sleep(1)
    return output8


def get_prompts(prompt_text):
    time.sleep(1)
    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: 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", blocking=True)

    with gr.Row():
        like_message = gr.Button("Press the Like Button if you enjoy my space", font_size=20)
    with gr.Row():
        output1=gr.Image(label="Dreamlike Photoreal 2.0", blocking=True, timeout=30)
        output2=gr.Image(label="Dreamlike Photoreal 2.0", blocking=True, timeout=30)
    with gr.Row():
        output3=gr.Image(label="Dreamlike Photoreal 2.0", blocking=True, timeout=30)
        output4=gr.Image(label="Dreamlike Photoreal 2.0", blocking=True, timeout=30)
    with gr.Row():
        output5=gr.Image(label="Dreamlike Diffusion 1.0", blocking=True, timeout=30)
        output6=gr.Image(label="Dreamlike Diffusion 1.0", blocking=True, timeout=30)
    with gr.Row():
        output7=gr.Image(label="Dreamlike Diffusion 1.0", blocking=True, timeout=30)
        output8=gr.Image(label="Dreamlike Diffusion 1.0", blocking=True, timeout=30)
     

    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)