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 = 1 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}') with gr.Blocks() as demo: with gr.Tab('Printing Press'): model_choice2 = gr.Dropdown(models, label = 'Choose a model from the 686 available!', value = models[0], filterable = False) txt_input2 = gr.Textbox(label = 'Your prompt:') current_images = 1 max_images = 6 gen_button2 = gr.Button('Generate up to 6 images in up to 3 minutes total') stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False) gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2) with gr.Column(): num_images = gr.Slider(current_images, max_images, value = 1, step = 1, label = 'Number of images') output2 = [gr.Image(label = '') for _ in range(6)] for i, o in enumerate(output2): num_models = num_images img_i = gr.Number(i, visible = False) num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o, show_progress = False) gen_event2 = gen_button2.click(lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, [img_i, num_images, model_choice2, txt_input2], o) stop_button2.click(lambda s: gr.update(interactive = False), None, stop_button2, cancels = [gen_event2]) with gr.Row(): gr.HTML( """