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import gradio as gr | |
from random import randint | |
from all_models import models | |
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 = 6 | |
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(randint(0, 99999999999)) | |
return models_load[model_str](f'{prompt} {noise}') | |
with gr.Blocks() as demo: | |
with gr.Tab('The Dream'): | |
txt_input = gr.Textbox(label = 'Prompt text') | |
gen_button = gr.Button('Generate') | |
stop_button = gr.Button('Stop', variant = 'secondary', interactive = False) | |
gen_button.click(lambda s: gr.update(interactive = True), None, stop_button) | |
with gr.Row(): | |
output = [gr.Image(label = m, min_width=256) 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', 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) | |
demo.queue(concurrency_count = 200) | |
demo.launch() |