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import gradio as gr
from random import randint
from all_models import models
from datetime import datetime
now2 = 0
def get_current_time():
now = datetime.now()
now2 = now
current_time = now2.strftime("%Y-%m-%d %H:%M:%S")
ki = f'{kii} {current_time}'
return ki
def load_fn(models):
global models_load
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(randint(0, 9999))
return models_load[model_str](f'{prompt} {noise}')
def make_me():
with gr.Row():
txt_input = gr.Textbox(label='Your prompt:', lines=3, width=800, max_height=100)
gen_button = gr.Button('Generate images', width=30, height=30)
stop_button = gr.Button('Stop', variant='secondary', interactive=False, width=30, height=30)
gen_button.click(lambda s: gr.update(interactive=True), None, stop_button)
gr.HTML("""
<div style="text-align: center; max-width: 100%; margin: 0 auto;">
<body>
</body>
</div>
""")
with gr.Row():
output = [gr.Image(label=m, min_width=250, height=250) 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' {num_models} different models selected', 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()
js_code = """
console.log('ghgh');
"""
with gr.Blocks(css="div.float.svelte-1mwvhlq { position: absolute; top: var(--block-label-margin); left: var(--block-label-margin); background: none; border: none;}") as demo:
gr.Markdown("<script>" + js_code + "</script>")
make_me()
demo.queue(concurrency_count=100)
demo.launch() |