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import gradio as gr
import random
from all_models import models
from datetime import datetime
def get_current_time():
# Get the current time
now = datetime.now()
# Format the time as a string
current_time = now.strftime("%Y-%m-%d %H:%M:%S")
return current_time
# Function to generate a string with text and a random number
def generate_text_with_random_number():
#random_number = randint(1, 100)
kii = "nude femboy sissy with small penis, bound anal sex orgy party, perfect penis, oral sex, threesum, head between thighs, glans inside mouth, cuming from glans"
ki=f'{kii} {random.randint(1,100)}'
return ki
# Function to process the input and return it (or do some other processing)
def process_text(input_text):
return f"You entered: {input_text}"
def load_fn(models):
global models_load
models_load = {}
for model in models:
if model not in models_load.keys():
try:
m = gr.load(f'models/{model}')
except Exception as error:
m = gr.Interface(lambda txt: None, ['text'], ['image'])
models_load.update({model: m})
load_fn(models)
num_models = len(models)
default_models = models[:num_models]
def extend_choices(choices):
return choices + (num_models - len(choices)) * ['NA']
def update_imgbox(choices):
choices_plus = extend_choices(choices)
return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
def gen_fn(model_str, prompt):
if model_str == 'NA':
return None
noise = str('') #str(randint(0, 99999999999))
return models_load[model_str](f'{prompt} {noise}')
def make_me():
with gr.Tab('The Dream'):
fn=process_text,
txt_input = gr.Textbox(label = 'Your prompt:', lines=4, value=generate_text_with_random_number() ).style(container=False,min_width=1200)
#"nude femboy sissy with small penis, bound anal sex orgy party, perfect penis, oral sex, threesum, head between thighs, glans inside mouth, cuming from glans"
time_textbox = gr.Textbox(label="Current Time")
refresh_button = gr.Button("Refresh Time")
refresh_button.click(fn=get_current_time, outputs=time_textbox)
gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
gr.HTML(
"""
<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
<div>
<body>
<div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
</div>
</body>
</div>
</div>
"""
)
with gr.Row():
output = [gr.Image(label = m, min_width=480) for m in default_models]
current_models = [gr.Textbox(m, visible = False) for m in default_models]
for m, o in zip(current_models, output):
gen_event = gen_button.click(gen_fn, [m, txt_input], o)
stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
with gr.Accordion('Model selection'):
model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 800 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
model_choice.change(update_imgbox, model_choice, output)
model_choice.change(extend_choices, model_choice, current_models)
with gr.Row():
gr.HTML(
"""
<div class="footer">
<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier!
</p>
"""
)
with gr.Blocks() as demo:
make_me()
demo.queue(concurrency_count = 200)
demo.launch() |