import os import gradio as gr from random import randint from all_models import models from datetime import datetime now2 = 0 nb_models=24 def split_models(models,nb_models): models_temp=[] models_lis_temp=[] i=0 for m in models: models_temp.append(m) i=i+1 if i%nb_models==0: models_lis_temp.append(models_temp) models_temp=[] if len(models_temp)>1: models_lis_temp.append(models_temp) return models_lis_temp def split_models_axb(models,a,b): models_temp=[] models_lis_temp=[] i=0 nb_models=b for m in models: for j in range(a): models_temp.append(m) i=i+1 if i%nb_models==0: models_lis_temp.append(models_temp) models_temp=[] if len(models_temp)>1: models_lis_temp.append(models_temp) return models_lis_temp , a*b def split_models_8x3(models,nb_models): models_temp=[] models_lis_temp=[] i=0 nb_models_x3=8 for m in models: models_temp.append(m) i=i+1 if i%nb_models_x3==0: models_lis_temp.append(models_temp+models_temp+models_temp) models_temp=[] if len(models_temp)>1: models_lis_temp.append(models_temp+models_temp+models_temp) return models_lis_temp """models_test=split_models_x3(models,nb_models)""" """models_test=split_models(models,nb_models)""" models_test , nb_models =split_models_axb(models,2,20) 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 global num_models global default_models models_load = {} num_models = len(models) if num_models!=0: default_models = models[:num_models] else: default_models = {} 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}) """models = models_test[1]""" load_fn(models) """models = {} load_fn(models)""" def extend_choices(choices): return choices + (nb_models - len(choices)) * ['NA'] """return choices + (num_models - len(choices)) * ['NA']""" def extend_choices_b(choices): choices_plus = extend_choices(choices) return [gr.Textbox(m, visible=False) for m in choices_plus] def update_imgbox(choices): choices_plus = extend_choices(choices) return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choices_plus] def choice_group_a(group_model_choice): for m in models_test: if group_model_choice==m[1]: choice=m print(choice) return choice def choice_group_b(group_model_choice): choice=choice_group_a(group_model_choice) choice = extend_choices(choice) """return [gr.Image(label=m, min_width=170, height=170) for m in choice]""" return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choice] def choice_group_c(group_model_choice): choice=choice_group_a(group_model_choice) choice = extend_choices(choice) return [gr.Textbox(m, visible=False) for m in choice] def choice_group_d(var_Test): (gen_button,stop_button,output,current_models)=var_Test 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]) return gen_event def test_pass(test): if test==os.getenv('p'): print("ok") return gr.Dropdown(label="test Model", show_label=False, choices=list(models_test) , allow_custom_value=True) else: print("nop") return gr.Dropdown(label="test Model", show_label=False, choices=list([]) , allow_custom_value=True) 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.Tab('The Dream'): with gr.Row(): #txt_input = gr.Textbox(lines=3, width=300, max_height=100) txt_input = gr.Textbox(label='Your prompt:', lines=3, width=300, max_height=100) gen_button = gr.Button('Generate images', width=150, height=30) stop_button = gr.Button('Stop', variant='secondary', interactive=False, width=150, height=30) gen_button.click(lambda s: gr.update(interactive=True), None, stop_button) gr.HTML("""